SCATTER PHY: An Open Source Physical Layer for the DARPA Spectrum Collaboration Challenge

Author:

P. de Figueiredo Felipe A.ORCID,Stojadinovic Dragoslav,Maddala Prasanthi,Mennes Ruben,Jabandžić IrfanORCID,Jiao XianjunORCID,Moerman Ingrid

Abstract

DARPA, the Defense Advanced Research Projects Agency from the United States, has started the Spectrum Collaboration Challenge with the aim to encourage research and development of coexistence and collaboration techniques of heterogeneous networks in the same wireless spectrum bands. Team SCATTER has been participating in the challenge since its beginning, back in 2016. SCATTER’s open-source software defined physical layer (SCATTER PHY) has been developed as a standalone application, with the ability to communicate with higher layers through a set of well defined messages (created with Google’s Protocol buffers) and that exchanged over a ZeroMQ bus. This approach allows upper layers to access it remotely or locally and change all parameters in real time through the control messages. SCATTER PHY runs on top of USRP based software defined radio devices (i.e., devices from Ettus or National Instruments) to send and receive wireless signals. It is a highly optimized and real-time configurable SDR based PHY layer that can be used for the research and development of novel intelligent spectrum sharing schemes and algorithms. The main objective of making SCATTER PHY available to the research and development community is to provide a solution that can be used out of the box to devise disruptive algorithms and techniques to optimize the sub-optimal use of the radio spectrum that exists today. This way, researchers and developers can mainly focus their attention on the development of smarter (i.e., intelligent algorithms and techniques) spectrum sharing approaches. Therefore, in this paper, we describe the design and main features of SCATTER PHY and showcase several experiments performed to assess the effectiveness and performance of the proposed PHY layer.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference33 articles.

1. DARPA SC2. DARPA Spectrum Collaboration Challenge Https://spectrumcollaborationchallenge.com/

2. Deep Learning-Based Spectrum Prediction Collision Avoidance for Hybrid Wireless Environments

3. ZeroMQ Messaging for Many Applications;Hintjens,2013

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