This blog is about modelling the RF propagation of a private LTE Band 48 (b48) “CBRS capable” base station.
Citizen Band Radio Service (CBRS) has exploded in popularity in the US since 2020 when the FCC allocated 150MHz of bandwidth from 3550 to 3700MHz for public use.
Keen to exploit this opportunity, businesses have marketed compatible LTE (4G) cellular equipment which some like Helium have chosen to label 5G. Unless it’s transmitting a 5G-NR waveform it’s not strictly “5G” but as it shares common components and small cell architecture its plausible and lucrative, to brand it such and most VCs aren’t experienced enough to understand the difference. Whether it’s morally or legally right will likely be determined in the next year with a test case.
One of the market leaders is Chinese firm, Baicells, who like any radio manufacturer have a public listing of FCC approve LTE base stations. This listing includes details needed to precisely model the propagation for these LTE base stations.
FCC has two tiers of power for these private eNodeBs: Category A which is the most conservative at only 1 Watt / 30dBm of power (EIRP) and 10MHz of bandwidth and Category B which offers a generous 50 Watts / 47dBm and 10Mhz of bandwidth.
Baicells Nova846 8x5W eNodeB
This unit supports both FCC power categories and LTE bands 41 and 48 making it popular in the US market. Using the datasheets here we’ve modelled it in an urban environment in New York City.
For comparison, we’ve run each model twice with Cat A and Cat B power limits and 10MHz of bandwidth. Adding a high gain antenna would indeed increase the range but the total Effective Isotropic Radiated Power (EIRP) of the combined system cannot exceed the category limit. To do so would not only be in violation of your CBRS licence but would be illegal.
Spectrum monitoring of the CBRS band is routinely conducted and with the magic of Physics, violators can be passively detected and rapidly geo-located. The largest customer for geo-location market leader CRFS is the US Federal Government.
The eNodeB was 3m above the ground/roof and the receiver was 1m from the ground with 1dBi gain and a threshold of -120dBm RSRP – the limit for LTE.
The model used was the Irregular Terrain Model with a reliability of 99% to account for the increased urban noise.
The Received Signal Received Power colour key measured from -80 (Strong signal) to -120 (LTE limit) RSRP dBm.
On the street – Cat A
With Cat A limits the effective range observed was a modest 200 to 300m where there was line of sight. Little better than a domestic WiFi router due to the high path loss present at 3700MHz. Where buildings were obstructing the signal, no coverage was achieved due to their attenuation of the low power signal.
Taking the same 3m mast to a rooftop bar nearby on Broadway to impress VCs we improve the range by up to 100% as expected but also lose local coverage down on the street due to the urban canyons. We’re still below 400m effective range in most directions.
Cranking the power up to the full 5W makes very little difference if you don’t have line of sight. We’ve improved signal at the places we could already reach but are unable to penetrate new locations. We’re still below 400m effective range in most directions. Some distant rooftops at 600m are touched.
Finally we placed the eNodeB on the Empire State Building at 400m above the city with 10 watts(!) of power. The range was then measured in kilometers but not many. The effective coverage was 2-3km and then only to rooftops – not at street level.
Line of sight is critical for CBRS.
Cat A several meters from the ground could get you 300m – if you have line of sight
Team Awareness Kit (TAK) has become the poster-child for defence innovation, transforming mapping, command and control and situational awareness with a relatively lightweight smartphone app. Never in the history of defence procurement have so many forces, nations and equipment vendors achieved tactical interoperability with impressive results.
Key to it’s success is a permissive software license, APIs and a design focused on information standards.
TL;DR Just give me the interface
Login to your CloudRF account and click the green “TAK server” button. Watch this video for the setup.
Historically defence procurement has failed to differentiate between standards (eg. KML) and software (eg. Google Earth) resulting in many duplicate apps, especially multi-source maps solving the shortcomings of the previous multi-source map, which is the military implementation of the famous too-many-standards XKCD sketch. The revolving door of senior officers into defence companies didn’t help the situation. This reached a fever pitch during operations in Afghanistan 2006-2014 where at one point, every service, nation and prime contractor were plugging their own “multi-source” map, all of which were trying to solve the same problem, and all of which compounded it. Analysts were motivated to write glue-ware to achieve interoperability, typically with visual basic due to the locked down environment.
In our experience, the enduring military map was none of the above, it was good old Google Earth which could be found at all command levels due to its simplicity and assured interoperability via KML and HTML standards.
ATAK has disrupted a long established pattern of short sighted procurement of incompatible point solutions – which was long overdue and best of all, the IPR is not owned and controlled by a single contractor.
The TAK plugin industry
TAK is produced and owned by the US Government. Despite most of the client source code being available on the Play store and elsewhere a documented SDK for plugin developers, plugins require US Government approval. This approval is more than a bureaucratic hurdle, it is a security, technical and cryptographic approval which requires a code-review and a code signing certificate. There are a limited number of public domain signed plugins and a greater number of private plugins.
Given the cultural change of not just using open source in defence, but publishing and maintaining it, on public app stores it was inevitable there would be a catch to appease committees.
To get US Government approval requires a sponsor aka a contract. There are many firms large and small developing TAK plugins (typically with Java or Kotlin) under contract, including foreign nations under trade agreements. Whilst Android app development might sound a little 2010 (CloudRF started as a Android app in 2011) it’s made lucrative by the exclusivity of needing a Government sponsor – to publish at least.
2010 called, they want Java back..
Java has had its day in our opinion. It created a generation of software developers who exist in a (JVM) bubble of abstraction far away from the processor for whom an opcode is an alien concept and writing a Hello world! demo on a vanilla machine requires a disproportionate amount of IDE massaging and preparation. The effort used to be justifiable because of the security the Java sandbox brings. The recent log4j CVE undid that argument pretty well.
We used Java 10 years ago to make our debut app “RFSignal” during the app gold rush of 2011 along with the Android SDK. It worked well for the first few releases whilst the app was under active development but the cracks showed when the app transitioned to maintenance. We found the “Eclipse” dev environment itself to be a substantial burden and even small one-line changes required an inordinate amount of effort in many places compared with other languages like Python, PHP or C++. Back then Android was evolving rapidly and keeping up with the latest SDK was a task in itself so we were glad to retire the app in 2015 and move to a SaaS model (and not give Google 30% of our sales).
We vowed no more Java, and to date have kept our promise except we did reference 1 line from the old app relating to a PNG hack to achieve Android bitmap opacity which was funny – ten years later.
To be clear we’re not criticising ATAK plugins written in Java – there is a clear need or them, especially interfaces to hardware which is a great value-add for manufacturers. We are proposing a more agile plugin architecture based around standard and network APIs which doesn’t prescribe a programming language – or even an OS.
We came late to ATAK in late 2020 but were no strangers to information standards, reverse engineering and joining distinct systems, at no extra cost, which our founder had previously won a national award for in 2012.
We already had a Google Earth layer (written in PHP) which relied heavily on the KML standard to connect CloudRF to Google Earth. We attempted the same on ATAK 4.1 without success due to limited KML GroundOverlay support back then. We could load on some layer types with a 10 second minimum refresh but advanced network features such as KML’s view based Link were not implemented. We use this feature to fetch the viewer’s bounding box, and center point, in our Google Earth KML interface.
During our research we learnt about the Cursor-on-Target (CoT) XML schema and how it was implemented within ATAK’s Geochat functionality. This allowed us to close the loop and handle a chat message from a client at our own TAK server – without touching Java!! Being able to connect the client to our own server was significant, and exciting, as this is where we could house, and maintain, our code instead of a version-brittle plugin.
An open source TAK server….with a Python bot
Realising we needed a TAK server capable of talking CoT we headed to Github and found two open source projects, FreeTakServer and Taky, both written in Python. We tried both and selected the simpler Taky server which offered a minimal setup necessary for 2 way communication.
You can find an early ATAK capability we published for OSGB coordinates conversion bot over here.
One of the nice features about SaaS models is licensing. You can connect software modules via a common protocol with different licenses. This is why we open sourced our server modifications but kept our Python bot private. You can get a head-start for how to build a bot with our open source geobot.
We forked Taky and added some features relating to client authentication, access control, anonymity and CoT. The CoT modification is notable as it extends the namespace (which is permitted in the XML standard) to tag anonymous messages with the originator’s unique ID. These modified messages are exchanged between the chatbot and the server when sharing shapes and are redundant for regular C2 use.
This early demo was created with a GPS spoofer (visible in corner). When the position updates, ATAK sends a broadcast which our TAKY server receives. The python bot at the server forwards this to the API and a creates a KML layer – a standard feature in CloudRF. On ATAK, a network KML layer pulls back the KML on a periodic cycle which is why it is slow to catch up when the marker moves fast. We have since identified a mechanism to return a KMZ immediately using a data package.
SSL, HTTPS and Data packages
Achieving insecure communication was quick: We published a demo of a CoT + KML script which did this in Nov 2020. Achieving secure communication with TLS certificates, which worked on ATAK and for HTTPS was a different matter and required lots of debugging. A lot of time was spent resolving seemingly trivial issues but the key principle we found which unlocked a lot of happenings was adding the right SAN (SubjectAltName) to our web server certificates.
SAN is used as an optional field in SSL certificates to declare alternative names or IP addresses, and is checked by Android’s SSL client. The open source TAK servers would wrap a script called ROTC.py to generate certificates (without SAN) using a self-signed certificate authority (CA) which despite the manageable security risk involved works well for securing the ATAK server – and even mutual authentication which we have implemented.
When ATAK later makes a request to a HTTPS link to fetch a data package for example, it checks the certificate for a SAN which a third party certificate from a trusted CA typically has. This tiny little attribute is worth big money as they can add lots in an array and call it a “wildcard” certificate. Thankfully LetsEncrypt is disrupting this monopoly.
Data packages are zip archives used in TAK to share files. They require a manifest file and a simple folder structure. When a CoT message is delivered to a End User Device (EUD) describing a data package it will fetch it, unpack it and auto-parse the content. We return KMZ files but you can also return XML map files to add map sources for example.
The CloudRF ATAK interface: Setup
If you have a CloudRF account you can jump in and use the ATAK chatbot. You will need to fetch your data package, side-load it and then authenticate to the chatbot to associate your Android device with your account.
This video walks you through the setup and comms test:
Using clutter profiles
For more advanced use, you might want to change the regional clutter profile to match your area. This video shows you to do that:
Self hosted solution?
We have a turnkey server with the CloudRF API, OSM tile server and ATAK interface called SOOTHSAYER. It’s ideal for rescue organisations and first responders who might otherwise be running multiple network services or working areas without internet access.
It works on VMware and as of 1.2 can use SMB shares for cloud hypervisors like Proxmox and ESXi.
We’re not precious about attribution if your account is in credit. RF modelling can be incredibly difficult so if you’re a silver or gold customer who is having trouble integrating the API into your TAK project, do the smart thing and get in touch. It may cost you some pride but you’ll achieve your goal much quicker as we’ve been doing this for 10 years.
If you’re a wireless internet service provider or an organisation who want to show an online coverage map there are different options available depending on your level of skill. The basic option is to do this with an arbitrary polygon on a free map like Google maps but if you want a beautiful and accurate physics based coverage map, at no extra cost read on…
The easiest way to add a map to your website or blog is with the embed code function. This is a small code (HTML) snippet which you paste into your website, like WordPress, for example. It requires that your blog supports HTML content.
To use this first you must have a layer in your archive. This could be a single area calculation or a large network mesh created from lots of individual calculations. Select it and click the code icon.
You will then be shown your embed code and a notice.
Google Maps Key
The notice says “Replace ‘GOOGLEMAPSKEY’ with your Google Maps key“. This is necessary as you need a key to share an online map as it’s licensed, not a free-for-all. You can get a key at no cost from Google if you visit this link:
To test your key works visit a HTML online editor, paste in your embed code and replace GOOGLEMAPSKEY with your long random Google Maps key. If successful you will see your map and your embed code is ready to go on your website!
Self-hosted (Expert mode)
The downside to embed code is the layer must be fetched from a server from Europe. For most users this won’t be a problem but if you are in Australia and your layer is quite large this could result in a blank map for a second or two – not a great advert if you are a business.
To deliver a faster map to your local customers, host the layer yourself. To do this, take the previously described embed code and extract the long link starting https://api.cloudrf.com/…
Copy that code to your own website and download the PNG image. Upload the PNG image to your server and edit the link so it points to the local copy eg. yourcompany.com/files/yourlayer.png
Copy the code between the html tags.
Terms and attribution
You can host as many of these maps as you like for no extra cost but unless you have written permission, attribution is required. This is already included as a small link on the map but we won’t object if you want to add your own label too.
We will host your data so long as your account is in credit. If your account is not in credit we will retain the data as per the plan limit which is two years in most cases.
If you need your image to be available for lots of website visitors or for longer than 2 years, we strongly recommend self-hosting your PNG layers.
This long awaited update brings an OpenAPI 3.0 compliant REST implementation with a redesign of public facing architecture so all requests will go to https://api.cloudrf.com and documentation will be at https://docs.cloudrf.com
Human readable requests
The old API grew into an exhaustive list of +43 variables starting from only 10 when it was an Android app. That’s just the public ones. There’s more parameters relating to interfaces. We were adding about a dozen variables a year in the early years of the service and turned down many requests for protocol-specific parameters to keep the number manageable and keep the API signal and technology agnostic.
The new JSON body schema tidies these +40 variables into logical objects which not only align with the interface but can be dropped completely for example in the case of the optional environment object, and defaults used.
Legacy ../API/ endpoints and old API documentation are still active and will be until October 2021.
Some previously undocumented interface features are now in the new API. These are exporting user files into GIS formats and uploading GeoJSON features as private clutter. These are now documented in API2.0
The days of sending your unique identifier ‘uid’ and your API key in the HTTP request as uid=…key=… and then scrubbing them out of presentations are thankfully finished!!!
Now you have one API key which you must put into a HTTP ‘key’ header. This keeps your sensitive credentials separate from your body which contains site parameters. This also means the path to offline JSON templates is now clear. We’ve offered templates for years but as rows in a private database, now that the private bits are out of the way you can confidently share an API request.
JSON site templates
A nice feature about this new API is because the sensitive authentication parameters have been removed, and the entire site/antenna/environment exists as a single JSON object, you can take this away and share it, save it, reuse it, publish it. We’re going to build on this concept to offer a new style of template system so as well as saving your settings for quick reuse as you can now, you can share your settings.
This will also enable novice API users to create valid requests by fetching a template eg. “VHF radio.json” from the library and dropping it into an API client, along with their ‘key’ to run that template through their account.
Legacy API sunset 1st October 2021
The legacy API will still run in parallel and will be retired on the 1st October 2021. Please move your projects over to the new API soon and see our documentation and client code examples on Postman to do this.
We are publishing more application specific examples to assist with this and will be on hand to help customers migrate.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.