Cell site blog: ‘consistent’ data, or data ‘not inconsistent’

By Dr Iain Brodie, Senior Cell Site Expert

As cell site experts we are often asked to consider whether cell site data is ‘consistent’ with a specific scenario, in the knowledge that our words can have a significant impact on how a jury thinks.

For example, a typical question put to us might be:  is the data for a particular mobile phone ‘consistent’ with it having been at the scene of a particular incident which occurred, say, in the centre of Birmingham at 12:00 on a particular day?

If the cell site data for the phone shows that it connected via a cell site in the centre of Birmingham which serves the scene at 12:00, then in my opinion it is clear that the data is consistent with the phone having been at the scene. This does not mean that I think the phone necessarily WAS at the scene, as the cell ID used will cover an extended area and, of course, locations that are not the scene. Given the unpredictable ways in which phones are used, however – what data there is supports the contention that the phone was at the scene.

The situation is equally clear cut if, at 12:00, the phone connected via a cell in central London. It is physically impossible for the phone to have connected to a cell in London whilst located in Birmingham, so (if the records from the network are correct) such data would be in conflict with or inconsistent with the phone having been in central Birmingham at 12:00.

If, at 12:00 and 12:01 say, the phone connected via cells in central Coventry, the scenario is slightly different. It is not, under all circumstances, physically impossible for the phone to have connected to a cell in Coventry whilst located in Birmingham. But in all normal circumstances – given the huge number of other more likely cells in Birmingham for the phone to have used, I would still say that this data was in conflict with the phone having been in central Birmingham at 12:00. Such an opinion could be reinforced by carrying out further work if required, but in general such further work would not be required.

But imagine the data was less clear cut. For example, now my phone’s call data records show a cell site in Coventry connected to by the phone at 11:00, a cell site in Solihull at 11:30, a cell site in eastern Birmingham at 11:45 and a cell site in Wolverhampton connected to at 12:30.

In my opinion this data is again ‘consistent’ with the phone having been at the central Birmingham scene at 12:00, as the logical journey of the phone would have been close to the scene. Indeed there are not many plausible routes other than the phone passing close to the scene at 12:00 that could generate such data – although again, I do not believe the data means that the phone definitely was at the scene (and nowhere else) at 12:00.

If, however, the call data for the cell in Wolverhampton was not so. All we would have was call data consistent with movement of a phone towards the centre of Birmingham, but even less evidence that the phone was in the centre of Birmingham. Such a scenario presents quite a grey area for evidence of opinion. Some experts may say the data is still consistent with the phone being in the centre of Birmingham at 12:00, whilst it may be argued that there is, in fact, NO data consistent with the phone being in the centre of Birmingham at 12:00.

I would say that the data is consistent with the phone having travelled towards the centre of Birmingham in the times leading up to 12:00, although there is no data showing it had been used in central Birmingham.

A final scenario would be where the phone connected to a cell site in Coventry at 11:00 and again to the same cell site in Coventry at 12:45. In this scenario it is quite POSSIBLE that the phone had time to travel to the centre of Birmingham and back, but there is no data that would lead me to expect that this had been the case. Here I would use the phrase ‘the data is ‘not inconsistent’ with the phone having been in the centre of Birmingham at 12:00 but there was no data indicating it had done so’.

This may seem like semantics. However, in a case where I gave evidence for the defence earlier this year (in Birmingham Crown Court as it happens), the prosecution expert asserted that there was cell site evidence ‘consistent’ with the defendant’s phone having been travelling away from a location of a crime at a particular time, when the cell site used for all of the relevant calls provided service at his home address. The prosecution expert’s use of the word ‘consistent’ here was challenged and the challenge was accepted by the court.

The judge, Justice John Royce in summing up said:

‘although the data is not in conflict with such a theory <that the defendant was at the relevant scene>.  The data <for the time in question.> is not consistent with being at the site.  It could possibly be that the phone was en route however from the site to the defendant’s home…’

the prosecution has been driven to trying to construct theories because of the absence of solid evidence.  They have tried to make bricks with but a few straws, and have done so with admirable skill and ingenuity.  But is this sufficient evidence to be left to the jury?  Could a jury, on this evidence, properly directed, safely convict?  The conclusion to which I am driven is that they could not. Accordingly, I shall direct the jury to return not guilty verdicts’

Had the prosecution expert’s semantics not been challenged, the outcome may have been different resulting, possibly, in a miscarriage of justice.

July 2012 cell site blog: The top five (potential!) pitfalls in cell site analysis.

By Nicholas Patrick-Gleed, Cell Site Analyst

This month’s cell site blog takes on a slightly different style.  The team here at CCL-Forensics has been discussing the most common potential pitfalls encountered in the world of cell site evidence, and thought it would be a useful exercise to commit some of them to the blogosphere.  So, rather than focusing on a particular topic, we’ll look at the top five (as we see them) issues which need to be at the forefront when planning and, more importantly, carrying out a cell site investigation.

We’ve touched on some of these in previous blogs, but they form a concise summary of some of the ‘issues’ we have seen experts (almost) experience.

This Month’s Topic: Five things to be wary of in cell site analysis

1. Exhibits without interpretation

When working for the defence, we regularly see prosecution evidence which can best be described as “exhibits without interpretation”.  A good example of this is a series of maps plotted by an intelligence analyst, who has carried out a series of instructions based on some call data records, but presented them without any explanation of what they mean.  This not only causes confusion and delay within the criminal justice system (the defence will, no doubt, ask for the explanation at some point – so it may as well be provided at the outset) but also means that an opportunity could be missed as part of the investigation stage.  Simply ‘blindly’ plotting information on a map is hardly investigative – but we have seen it more than once.  What is the point of an exhibit without context?

From the prosecution’s perspective this is an obvious potential pitfall – as it means that the evidence does not include something which could enhance the prosecution’s case.

There have also been occasions where the defence leaves it until the 11th hour before ‘complaining’ that the person who has produced the exhibit is not an expert – and the judge could rule that the prosecution needs to carry out more expert analysis.

It’s simply not worth chancing these situations.  Moral of the story: produce exhibits which mean something; it makes for a smoother investigation.

2. Who’s who on the call data records?

Cell site is full of idiosyncrasies.  It’s what keeps us experts on our toes.  But there are small variations between networks and circumstances can lead to major confusion.  The best example of this is when you are analysing a call data record, and the person is in contact with someone on the same network.  There are occasions when both parties cell IDs appear on the same CDR – which can immediately confuse things.  Furthermore, and lets use the ‘3’ network as an example here, if an incoming call to the subject phone is unsuccessful, then the cell ID for the person making the call still appears on the CDR.  This is particularly a problem, as the CRD doesn’t differentiate between the A and B phone (in columns) and so this needs to be taken into account.  It’s pretty easy to spot if there’s a day’s worth of cell IDs in London, and one in Edinburgh – but when both parties are geographically close, then vigilance is the watchword.

This is especially the case if the person plotting the calls is not trained in these nuances – as they may easily go unnoticed.

Moral of the story: be thorough.

3. Timely surveys

Networks change and evolve.  Nothing new there, but the sooner the survey is carried out after the incident in question, the better.  It means the results will be more accurate and better reflect what happened.

We previously touched on our use of historic data, which may help to counteract this problem – and this is a benefit of the robust methodology which CCL uses.  But, timeliness is still a big potential pitfall for a number of reasons.

One of the biggest is the evolution of “Everything Everywhere” – or the merger of
T-Mobile and Orange as most people still know it.  This means that “Everything Everywhere” now has many more channels available than each of their competitors – and consolidating cells seems like a sensible thing to do.  If there are two cells covering the same approximate area, it seems only prudent to use just one of them and either deactivate the other, or reallocate it to, say, the new 4G networks, which have been in the news recently.  This clearly impacts on the survey, especially if the cell in question is no longer transmitting.

Moral of the story: Consider the impact of the T-Mobile and Orange merger before surveying.  What are you expecting to see – and what are you expecting NOT to see?

4. Getting the whole picture – not just a small slice

Cell site is all about focusing on a phone’s movements around the time of a crime, right?  Wrong.  Yes, this is often the best place to start, but it can also be vitally important to look at the patterns of usage within the data as a whole, rather than just isolating and concentrating on a small piece of evidence.

There may be no evidence of a phone being in an area of interest at a particular time, but the best advice here it to stop, look around and think.

There may be behaviour patterns, where the time in question shows some deviation from the norm. There may be evidence elsewhere of the use of ‘clean’ and ‘dirty’ phones.  There may be evidence someone ‘casing the joint’ before the crime, which goes against the usual pattern of usage.

One just doesn’t see these when points are blindly plotted on a map.  The solution is to have as much data available as possible at the outset of a cell site assignment (or as much as can be reasonably requested under RIPA).

At the end of the day, it depends on what question you are trying to answer, but the moral of this story is: Don’t just rely on data from the time of the incident.  More complex investigations need more data.

5. Surveying techniques

Quite honestly, this is something of a bugbear of ours, and a topic which we have covered numerous times.  With that in mind, I won’t go into any major detail, but just summarise something which we think all cell site experts should adopt.  (And we’ve had this published in a peer-reviewed journal, so it’s more than just a passing fad!)

Movement is key to getting an accurate overall picture of how a phone interacts with cells.  The concept of ‘dragging’ a cell can be key to determining if a cell provides coverage at a location.  Driving to a location from a number of directions can result in a different cell providing coverage, depending on which direction you arrive from.  This is because the phone has a tendency to “hold onto” a cell, rather than chopping and changing – (to reduce the risk of a dropped call).  Spot samples (i.e. turning up at a location, surveying without moving, and then leaving, is hardly comprehensive).  This is about so much more than simply dotting the i’s and crossing the t’s.

While we’re on the subject, it’s worth touching on tracking frequencies.  Network Operators, typically use two or three 3G frequencies at their cell sites.  When moving geographically, a phone may use a new cell which uses a different frequency than the original one.  This created a potential pitfall when surveying, as the expert needs to be mindful of how many frequencies are available, and ensure the most appropriate survey is therefore carried out.  The moral of this part of the story: remember there is more than one available frequency – and be as thorough as the investigation requires.

I hope you’ve enjoyed our whistle-stop tour through the potential pitfalls of cell site analysis – and as, ever, we’re always keen to hear your thoughts on the matter.  If you would like to discuss any aspect of cell site analysis, please don’t hesitate to drop us a line at cellsite@ccl-forensics.com

Next month

Next month, Dr Iain Brodie analyses comments made by a judge during a recent case, and highlights what the criminal justice system REALLY wants from cell site experts.

Cell site blog – Never mind the quality, feel the width

Thoughts and observations on how ‘more’ could mean ‘less’ in the presentation of cell site analysis.

By Matthew Tart, Cell Site Analyst

This month – we look at quality over quantity in cell site analysis – with particular emphasis on a recent example where a pile (literally) of maps could easily have left jurors’ heads spinning.  And cost the prosecution a considerable sum.

This month’s topic: Getting the balance right in cell site analysis 

This blog starts with a case we were involved in recently, involving a high profile crime with a number of defendants.  On this occasion we were working for the defence, but this story acts as a useful pointer for the prosecution by illustrating techniques that experts used by the Crown should – and should not – be doing.  We’ll focus on a method used by a large number of cell site analysts (but not ourselves) which is not necessarily robust or stand up to close scrutiny.

Q: What were the details of the case?

A: The prosecution were investigating the probability of a suspect being at a crime scene – a pub in an inner city location.  At the time of the crime, one of the suspects (we were working for that suspect’s defence solicitor in this case) made a phone call.  The call data records showed that this phone call was made on what we’ll call ‘cell A’, which was on a mast near the crime scene – but also near to his home address which was about 500m away.

The suspect’s alibi was that he was at home at the time of the crime and the phone call.

The prosecution’s outsourced expert carried out ‘spot samples’ (i.e. turned up at a location with a piece of equipment) at both the crime scene and the alibi location.  Their report showed a different cell serving at each location.  Cell A was shown as best serving at the crime scene – but not at the alibi location.

Q: So what did we do differently?

A: We carried out a much more extensive survey i.e. a drive survey at the home address and the surrounding area.  This was carried out with regard to the cell of interest (Cell A), and we used multiple pieces of equipment and repeatedly moved in and out of the area.  We found that cell A provided coverage north, south, east and west of both locations (crime and alibi scene), and based upon this, could not distinguish between the mobile phone being at either location.  The evidence was simply not strong enough to suggest one or the other.

Q:  So, were both sides saying something different?

A: Yes and no. Before the court date, the prosecution’s outsourced expert asked for a copy of our defence report, which we provided.  We then discussed the contents with the expert over the phone, who claimed that he wouldn’t expect cell A to provide coverage at the home address.  After looking at our evidence, he admitted that our assertion that the cell served at both addresses was actually the most valid interpretation of the evidence.  This is a worrying admission/u-turn to say the least.  This is despite his evidence not documenting that cell A also serves at that crucial home address.

Q:  The other side claimed that a different cell provided service at the home address.  Did your survey find that cell as well?

A: Yes, but we found four cells which served at the home address.  Cell A, the one the other side claimed – AND two others.

Q: How was this data presented by the prosecution’s expert?

A: In a rather cumbersome, and lengthy fashion, to say the least.  There were a number of suspects, and their report showed the same maps over and over – and over – again.  It showed the locations of interest, calls for varying time periods, and whether the cells used actually covered the locations.  This came to more than 100 (one hundred) maps.  All printed on A3 paper and bound into a daunting, unwieldy piece of physical evidence, which the jury would have to absorb.

I would defy even the most attentive juror to have easily made sense of this massive tome.  Notwithstanding the threatening size of the document, but all the pages were practically the same, or almost identical copies of other similar pages.  You simply wouldn’t be able to take it all in.  Especially as one wouldn’t expect jurors to be familiar with this type of evidence – making it all the more crucial to have it presented in a friendly form.

Q: What would we have done differently?

A: Firstly, not produced a huge weighty un-jury-friendly document. The best way of presenting this evidence (for which we would have had MUCH more survey data, having done more than carry out simple spot samples) would have been a series of two or three detailed maps which can be presented interactively at court with the relevant points being highlighted by the expert in the course of presenting the evidence.  These maps would have covered specifically the period of interest – and would have a secondary, financial, benefit.

By not producing hundreds of maps, we would have saved a considerable amount of time – and therefore cost.  We would estimate that producing this unmanageable number of maps and documents would have potentially cost tens of thousands of pounds. Our approach would almost certainly have been cheaper AND more robust.

Q:  So the lesson here is…

A: …to think about what you need to achieve, and the best way of doing it.  Don’t be held to ransom by an outsourced experts ‘way of doing something’.  Hopefully this example has shown two things.  One, that carrying out spot samples (as we’ve mentioned in previous blogs) may not be the most appropriate way of surveying.  And secondly, that the end product i.e. what the jury see and have to understand, can be something a little more sophisticated than a batch of similar-looking, repetitive – and quite frankly, uninspiring – maps and tables.  Technology has moved on.  So has cell site analysis.  And so has the presentation of evidence in court.

In terms of maps it is quality not quantity that delivers the most impactive conclusions in relation to the possible locations of a mobile phone.

For more information about this – or any aspect of cell site analysis, please contact Matthew Tart (or any of our other cell site analysts) on 01789 261200 or by emailing cellsite@ccl-forensics.com

Cell site analysis and impactive court presentation

The monthly cell site blog is back – and this month, we’ll be looking at what makes for an high impact piece of cell site evidence in court, as well as how going that extra mile at the outset of a cell site investigation can, in the long run, save time, money and bring your case to a speedier, more positive conclusion.

Impactive court presentation

By Dr. Iain Brodie, Cell Site Expert

Let’s consider a real case which CCL-Forensics investigated on behalf of a UK police force.  We’ll change some of the location and crime details for the sake of confidentiality, and to help with legalities.  The story goes like this:  there was an aggravated burglary at a house in a semi-rural location, and following enquiries, a man was arrested.  It was crucial for the prosecution to demonstrate the man was at the scene and not merely in the vicinity.

The prosecution claimed that the man in custody had made a number of phone calls to an accomplice, waiting outside the property, while the crime was in progress.  They obtained the call data records (CDRs) from the phone company which the phone (attributed to the individual) was connected to at the time.

CCL-Forensics cell site experts looked at the calls at the pertinent time, and could see that there were indeed incoming and outgoing calls – as well as a number of texts.  These events on the CDR used three different cell IDs (mobile phone mast sectors), but all took place over the period of a number of minutes.

In order to determine whether the suspect was likely to have been at the scene, surveys were carried out of the entire coverage areas of these three cells.  CCL-Forensics performed a number of drive surveys, looking at areas where the cells in question would initiate a mobile phone call.  Once these drive surveys had been carried out, for each of the three masts, they were uploaded onto our mapping system and the so-called ‘derived service areas’ were plotted.

The result was instantly compelling.  Like a neat Venn diagram, the areas overlapped, with that overlap area covering a comparatively small area.  Well within this area, was the crime scene.  It was, to a certain extent, a ‘textbook’ piece of evidence.  The fact that a number of cells were used at the time could easily be down to the fact that the suspect was moving around the house, and receiving a different dominant signal from different elevations of the property.

The question you may well ask, is why not just carry out a ‘spot sample’ at the crime location?  Surely this would have yielded the same result.  The reason for this was down to the case conference CCL-Forensics held with the investigating officer, where it was felt that a more robust survey was required to pre-empt any possible challenge from the defence.  This turned out to be a very wise move, as in the weeks after the survey was carried out, the defence put forward an alibi location which was only a comparatively short distance from the crime scene.

When this point was plotted on the same map (without the need to go out and re-survey), it does indeed show that one of the cells served (for initiating a call) at this location – but not all three.  The alibi location was therefore rejected, and based on the compelling evidence from cell site analysis, the suspect was found guilty.

The map shows the coverage areas, along with the overlap, which ultimately proved to be the pivotal piece of evidence in court.  When presented to the jury in this way, the impact is immeasurable. 

Image

The remit here was to find an effective balance between doing the bare minimum, and doing too much – incurring unnecessary costs.  Had a simple ‘spot sample’ been carried out in the first instance, it would have been necessary to return to the scene to carry out similar exercises at the alibi location – incurring delay and cost.  As it transpired, this was not necessary, as the measurements had already been taken.  In addition to this, the way the evidence was presented, showing the relevance of the small area where the cells’ service overlapped, proved to be an invaluable method of demonstrating the point to the jury.  Cell site evidence, when not presented in an impactive way, can be confusing in court – and at worst, can overwhelm those sitting on the jury.  This was an elegant, easily understandable piece of evidence – and it worked.

This enhanced service was agreed by collaboration of the cell site expert with the customer force at the initial case conference. This has shown the value of providing expert advice from the start of the analysis.

The power of the evidence more than justified ‘going that extra mile’ – and it ultimately saved the expense of carrying out at least one additional survey.  I hope this goes to show that a tailored investigation, based on the intelligence of the case and the requirements of the investigating officer, can be a much more powerful approach than a ‘one size fits all’ turn-up-and-survey approach.

If you would like more information about cell site analysis and its use in cases of this type, please contact me or any of my colleagues by emailing info@ccl-forensics.com.  As ever, please keep the feedback to these articles coming in.  We do enjoy reading your comments and opinions.

Keep posted as next month we will look at another aspect of cell site that will make or breaks a prosecution.

Effects of exceptional demand on mobile phone networks

Nick Patrick-Gleed, a cell site expert at CCL-Forensics, looks at the effect of a large number of people gathering in one place and how the networks compensate for it. He’ll also talk about just how this may affect what cell site analysts see on call data records, and the potential challenges which may come up in court.

Q: Let’s take, for example, a large festival being held in a rural location – where the usual network configuration would be unable to cope with such an influx. What happens when all that phone traffic hits the network?

A: A number of things – three main ones. The first is that, as these events are obviously planned well in advance, the network can introduce temporary cells to cover the area in question. These are usually vehicle/trailer mounted, and are located overlooking the site to ensure maximum coverage – and are quickly removed afterwards.

Q: Doesn’t that pose a problem when surveying if a cell which shows up on a call data record no longer exists?

A: It’s not a problem, as they are labelled on the CDR (call data record) as being a temporary cell, and they usually say why – for example “temporary cell – Glastonbury”. If that is the case, then a survey doesn’t add anything to the process. But these cells tend to have a very small coverage area to avoid interference with the existing network, so as long as you know it’s a temporary cell, you can (even as part of a desktop exercise) locate a phone with reasonable precision.

By that, I mean that the phone is clearly in the vicinity of the festival and not, say, 100 miles away, as claimed by their alibi.

Also, the caller may use neighbouring cells around the time of the incident. They will be detected during a survey.

Q: Is there any way that extra capacity can be introduced to the existing network?

A: Absolutely, and that brings me on to points two and three, following on from point number one above.

One is that extra “kit” can be installed at the mast site, and the other is that software add-ons can be used to handle more calls.

The first of those is a relatively simple procedure, which sees an engineer adding (usually) a piece of rack-mounted equipment in the hut or box at the foot of the cell tower. This takes about an hour – and gives the cell a significant number of extra traffic channels, and therefore the ability to handle more calls.

The benefit of this to cell site analysts, over the temporary cell scenario, is that it has no effect on what you see on the CDRs. The cell ID already exists, and can be surveyed if required.

Q: And the final method?

A: This is the software solution, and basically means that different codecs (audio compression) are used between the phone and the cell. It reduces the bandwidth used to code the callers’ voices into the bits and bytes that are carried by the network. This means that the same frequency can handle more calls, but they are of a slightly lower quality. The quality is still good enough to hold a conversation; it’s just not to the normal standard. Again, this has no effect on the CDRs, and the cell can be surveyed as normal.

This tends to be used as a temporary technique, as it costs the network in software licensing fees… although in theory, they should make it back by handling more calls. It can be a useful method to add capacity as a short term solution or on a daily basis.

Q: Even with these techniques, there are still bound to be scenarios where call volumes are too great, and even they can’t cope.

A: Yes – it is possible that demand can outstrip capacity… and this is possible where large unexpected events happen like a major pile-up or a large scale incident occurs.

When this happens, a person wanting to make a call will be forced to use a neighbouring mast, as their “first choice” is unavailable. The handset has a list of cells that it can detect. It prioritises these, to give a preferred cell, and a list of others which can provide service (seven in total). It also knows other cells that it can detect, but they are not considered to provide service. This list changes dynamically, so the phone always has options.

If the handset is in an area of non-dominance more than one cell may already provide service. When the handset tries to use its “number one” cell, and it is congested with other calls, a process known as “directed retry” happens. This is where it uses one of the other masts in its list, which can provide service.

Q: How does this impact on the way the event appears on a call data record?

A: That’s something of an irrelevant question. If we were to survey the area, we would also see the list of cells which can provide service. Just because the phone doesn’t use the number one cell, it isn’t a problem. We would detect during our survey other cells which provide, or are considered to provide, service – which would undoubtedly include the cell which was used.

Cell site analysis is about much more than just turning up with a piece of kit and surveying one cell. The skill and knowledge of the analyst is key in handling any of these challenges – and the science of cell site analysis is robust enough to rebut them.

Q: Is network congestion a common occurrence?

A: Service providers monitor their network performance, routinely recording data such as the number of dropped calls, the distances of user from mast, and congestion – among others. Their performance is also monitored by OFCOM. They will compare the data against the planned performance and optimise the network accordingly. If a problem is routinely observed, for instance congestion on a cell, additional capacity would be added.

Nick Patrick-Gleed

Cell Site Expert

How can geographical features affect cell site analysis?

Matthew Tart, one of CCL-Forensics’ cell site analysts looks at the effects that height and landscape have on cell site analysis techniques. He also looks at a scenario where, on the face of it, a suspect seems to be moving in a particular direction – but could actually be doing the opposite.

Q: It seems obvious that the landscape can affect the coverage area of cells, but just what sort of effect does it have?

A: There are two main effects. The first is that height limits coverage area by preventing the signal reaching areas in a “shadow” caused by the particular geographical feature (hills, mountains, that kind of thing). And the other is that being at height affects which mast (cell) you are able to connect to, compared to the cells which would serve at a lower level.

Q: Taking the first of those two, this is presumably about “line of sight”?

A: It is – but don’t be misled by the word “sight”. You don’t physically have to see a cell for it to provide service where you are – reflection, diffraction and other factors take care of that. Let’s consider a simplified example. The signal from the mast reduces when it travels through or around “stuff”. Whereas the walls of a building contain a relatively small amount of stuff, hills and mountains (clearly) contain a lot of stuff. It stands to reason that, if a hill is in the way, the signal will not be received on the other side.

Q: That sounds pretty obvious, but how do cell site analysts cope with this?

A: It’s all about the preparation: about knowing the landscape and the potential effects before you go out to survey (if, indeed, surveying is relevant to the investigation in question). It’s obviously wrong to be doing all your preliminary work in two dimensions, when the scene itself is in three.

Q: In terms of the other issue, i.e. height affecting which cell you connect to… just how high are we talking about?

A: We’re talking more about “artificial” height here… tower blocks and so on, rather than natural features. It’s feasible that if you’re higher than four storeys from the ground, a whole new range of cells may come into view. When you get above the rooftops of neighbouring buildings you have a whole new vista, meaning new cells can be seen. The “stuff” is no longer in the way.

A good example of this is on an estate, where a localised picocell provides coverage at street level, but twelve storeys up, a more remote macrocell provides coverage, despite being a number of miles away. Simply mapping this as a desktop exercise, you could incorrectly infer that the phone had moved a considerable distance.

Q: How misleading could this be?

A: Let’s look at an extreme example: of a valley with a mast situated high on each side, and one in the town below.

If an individual moves in the direction of the arrows shown in the diagram, i.e. from right to left through the town, he may use (in this example) mast A first, as it provides line-of-site coverage, but he is in the shadow of mast C. Next, he may use mast B as he moves through the town, as this provides localised coverage for the town only, and then as he travels back up the other side of the valley, he could use mast C, as he is in the shadow of mast A.

Plotting these on a map, and giving no consideration to the terrain, makes it look like he did the opposite. Simply looking at the mast location, and saying he used A, then B, then C, does seem to imply he is moving from left to right, rather than vice versa.

Looking at this from above…

Of course, in reality, you would more than likely be using a much larger set of data, so this is an extreme example, but it does illustrate the problems faced in not appreciating the effect of height.

In another example, let’s look at the other effect of height – that of providing service at height, which you wouldn’t expect at ground level.

In this example, the purple mast is designed to provide service at ground level (let’s say in this example it’s a picocell on the front of a nearby shop) but the orange mast would easily provide coverage at the top of the tower block, even though it is a considerable distance away. This demonstrates the importance of carrying out a survey which is in line with the requirements of the investigation.

Was the suspect likely to have been on the high levels of a building at the time of the crime? Was height a potential factor? Would a “walk survey”, using hand-held equipment, be more appropriate than a drive survey using vehicle-mounted equipment at ground level?

In summary, it’s worth remembering that a lot of network planning is focused on providing coverage at ground level, and it’s important therefore to consider the likelihood of more remote cells (at greater altitude) also providing service.

Matthew Tart

Cell Site Analyst