USRP-Based Prototype for Real-Time Estimation of Channel Activity Statistics in Spectrum Sharing

Toma, Ogeen H ORCID: 0000-0002-3969-0470 and Lopez-Beitez, Miguel (2021) USRP-Based Prototype for Real-Time Estimation of Channel Activity Statistics in Spectrum Sharing. In: 2021 17th International Symposium on Wireless Communication Systems (ISWCS), 2021-9-6 - 2021-9-9.

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Official URL: http://dx.doi.org/10.1109/iswcs49558.2021.9562224

Abstract

The statistical characteristics of the frequency spectrum play a key role in decision making in smart spectrum sharing systems. In such systems, the activity of the licensed users changes differentially over both time and frequency, hence, their statistical information changes accordingly. The performance of spectrum sharing systems is directly affected by the estimated channel activity statistics, therefore low spectrum utilisation may result from inaccurate estimation of these statistical parameters. In this context, this work presents a prototype design for real-time estimation of channel activity statistics based on a Software Defined Radio (SDR) platform using USRP. A detailed explanation of both hardware and software implementations is provided (with free open source code). The developed platform will enable a spectrum sharing system adapt its parameters smartly and instantaneously in accordance with the estimated channel statistics in real-time. Moreover, this prototype will serve researchers and engineers to conduct and validate further research developments in statistics estimation methods and algorithms for spectrum sharing systems through experiments and proof-of-concept.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Bioengineering
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	22 Jul 2021 07:09
Last Modified:	17 Mar 2024 12:22
DOI:	10.1109/iswcs49558.2021.9562224
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3130846