Aho Pekka, Palola Marko, VTT, Finland
Reda Hossino, Christophe Le Thierry, Pierre-Jean Muller, RED Technologies, France
Historically, the 3550-3700 MHz (3.5 GHz) band in the United States was reserved for the Department of Defense (DoD) for radar systems but also for Fixed Satellite Service (FSS). The Federal Communications Commission (FCC) decided to open this band to new actors and so created the Citizens Broadband Radio Service (CBRS). To do this, a three-tiered access model has been identified. This model defines the rules for spectrum sharing between the different actors who have been split into three main categories: (1) Incumbent Users (Authorized Federal entities, Fixed Satellite Service (FSS) operators, or Grandfathered Wireless Broadband Licensees have absolute protection from interference from other users), (2) Priority Access Licensee Users (users who hold one or more Priority Access License (PAL) and be protected from interference from other PALS and General Authorized Access users), and (3) General Authorized Access (GAA) Users (Users who are not be subject to individually-issued licenses and shall not cause interference to higher level users). The SAS is the entity of the 3.5 GHz CBRS band system which authorizes and manages the use of spectrum in the 3550-3700 MHz (3.5 GHz) band. Its main goal is to protect the actors from interference according the rules defined by the Three-Tier Model. This demo will showcase a SAS operating Three-Tier in the 3550-3700 MHz band with a virtualized massive LTE TDD eNB deployment over one major US costal urban area.
Xianjun Jiao, Ingrid Moerman, imec - Universiteit Gent - IDLab
Today many wireless standards are applied for supporting different type of traffic streams (e.g. low data rate sensor data versus high throughput data streams). These wireless standards further operate in the same wireless environment without any coordination between standards, often leading to interference and inefficient spectrum usage. In order to increase spectrum efficiency, future radios will have to collaborate and adapt radio settings to limit interference through coordinated control of frequency bands, time slots, power settings, etc. across multiple standards. It is very difficult for wireless developers to design wireless solutions with improved coexistence characteristics, as they have to deal with multiple radio chips and as many different drivers. Software defined radio (SDR) solutions are very attractive because of their easy of programming. However, when realtime operation is required, it is impossible to use software solutions and instead radio processes have to be hardcoded on FPGA (or ASIC) with slower development cycles.
In the context of the ORCA project a SDR architecture is developed on a single chip radio platform (currently implemented in a Zynq-based System on Chip environment) that offers a unified software API with the following capabilities: (1) concurrent data transmission using multiple standards; (2) realtime control of multiple virtual radios through runtime composition and parametric control of transceiver chains; and (3) radio resource slicing, supporting independent operation of multiple standards in different spectral bands, time slots or in different beams. Such an architecture offers a fast development cycle, as only software programming is required for controlling the virtual radio chip using the unified software API. The architecture further allows a very efficient design in terms of hardware resources, as hardcoded radio processing units (PHY accelerated resources) can be shared over multiple standards and multiple virtual radios.
This demo will showcase simultaneous detection of two IEEE 802.11 and eight IEEE 802.15.4 traffic streams in concurrent & overlapping channels via two virtual radios using the same PHY hardware accelerators.
Sreeraj Rajendran, Bertold Van den Bergh, Domenico Giustiniano, Hector Cordobes, Markus Fuchs, Roberto Calvo, Sofie Pollin and Vincent Lenders, ElectroSense, Switzerland
We present Electrosense: a distributed, collaborative and low-cost wireless spectrum monitoring solution which is deployed on a large scale. The proposed framework provide tools to enable and promote a crowdsourced open spectrum monitoring platform for wide area deployments. The collected spectrum data is stored and processed in the backend which can be easily retrieved by the users through an open API. The framework also deploys various signal processing algorithms deployed on the sensors as well as in the backend which provides statistics on spectrum usage, helps in applications like anomaly detection and localization. The goal of the demo is to introduce the framework, show the community how to be a part of the network and demo a few built-in applications of the framework.
Paulo Marques, Instituto Politécnico de Castelo Branco
Tiago Alves, ALLBESMART LDA
To gain competitive advantage in today’s mobile market, Mobile network Operators (MNOs) are required to perform cellular network testing and monitoring to ensure proper customer experience is being attained. This is somewhat being achieved by subcontracting independent and specialized benchmarking companies to run dedicated drive tests in certain geographical areas. However, the high cost for running these tests, commonly results in a low frequency of execution, insufficient to reflect the dynamics of an LTE network in dense urban areas.
This demonstrator will showcase a different approach, where fully automated LTE benchmark probes can be deployed on the field without dedicated drivers and technicians. These LTE probes can measure the most relevant radio and network key performance indicators (KPIs). Through Deep Machine Learning algorithms and ITU standardized approaches, service quality analytics (audio and data), which include user experience, are then visualized on a dashboard in a meaningful way.
Quentin Bodinier and Carlos Bader, CentraleSupélec, France
We envision that future networks will consist of different services that will coexist without synchronization or coordination on the same spectral bands. In particular, newly inserted cognitive devices may be called to coexist with legacy incumbent OFDM-based systems, in particular in the bands currently used for LTE-A cellular communication or digital video broadcasting. Filter Bank Multi-Carrier (FB-MC) waveforms which exhibit advantageous spectral properties have been proposed to facilitate coexistence with incumbent systems. In this demonstration, we show that, despite the enhanced spectral localization of FB-MC waveforms, they do not significantly facilitate coexistence with incumbent systems if the latter are based on OFDM.
Indeed, most studies demonstrating the advantages of FB-MC over OFDM in cognitive radio setups have so far assumed that both the secondary and incumbent systems would be using FB-MC. Nevertheless, it is likely that at least in a first step, incumbent devices - typically mobile handsets - will still be based on OFDM. Therefore, there is a need to properly investigate the coexistence between FB-MC cognitive devices and OFDM incumbent systems. The demonstrator we propose enables users to measure the interference created on each subcarrier of the OFDM incumbent according to the waveform used by the secondary which can be set to use either OFDM or different types of FB-MC waveforms. The presented results will demonstrate that using FB-MC for the secondary transmission does not significantly reduce interference to the OFDM incumbent.