Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 7 October 2019 / Approved: 10 October 2019 / Online: 10 October 2019 (09:37:08 CEST)

How to cite: Pereira de Figueiredo, F.A.; Stojadinovic, D.; Maddala, P.; Mennes, R.; Jabandžic, I.; Jiao, X.; Moerman, I. SCATTER PHY: An Open Source Physical Layer for the DARPA Spectrum Collaboration Challenge. Preprints 2019, 2019100115 (doi: 10.20944/preprints201910.0115.v1). Pereira de Figueiredo, F.A.; Stojadinovic, D.; Maddala, P.; Mennes, R.; Jabandžic, I.; Jiao, X.; Moerman, I. SCATTER PHY: An Open Source Physical Layer for the DARPA Spectrum Collaboration Challenge. Preprints 2019, 2019100115 (doi: 10.20944/preprints201910.0115.v1).

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 of SCATTER’s system via ZeroMQ, and uses USRP X310 software-defined radio devices to send and receive wireless signals. SCATTER PHY relies on USRP’s ability to schedule timed commands, uses both physical interfaces of the radio devices, utilizes the radio’s internal FPGA board to implement custom high-performance filtering blocks in order to increase its spectral efficiency as well as enable reliable usage of neighboring spectrum bands. This paper describes the design and main features of SCATTER PHY and showcases the experiments performed to verify the achieved benefits.

Subject Areas

cognitive radios; Collaborative Intelligent Radio Networks; spectrum sharing; coexistence; experimental evaluation

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