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

Autor:	Miguel Lopez-Beitez, Ogeen H. Toma
Rok vydání:	2021
Předmět:	Universal Software Radio Peripheral business.industry Computer science Statistics Key (cryptography) Code (cryptography) Wireless Context (language use) Software-defined radio business Wireless sensor network Communication channel
Zdroj:	ISWCS 2021 17th International Symposium on Wireless Communication Systems (ISWCS)
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df5b56327aeb64c2135df6974b1d40f5 https://doi.org/10.1109/iswcs49558.2021.9562224 Zobrazit plný text záznamu