A matching-game-based satisfactory spectrum leasing for cognitive-radio-empowered 5G

Autor:	Hamid Bouassam, Essaid Sabir, Mohamed Sadik, Sara Handouf
Rok vydání:	2019
Předmět:	Matching (statistics) General Computer Science Computer science business.industry Quality of service Bandwidth (signal processing) Spectrum management Cognitive radio Distributed algorithm Resource allocation Resource management Electrical and Electronic Engineering business Computer network
Zdroj:	International Journal of Autonomous and Adaptive Communications Systems. 12:129
ISSN:	1754-8640 1754-8632
DOI:	10.1504/ijaacs.2019.10018413
Popis:	Cognitive radio allows flexible self-organising solution for spectrum scarcity management. It can be used to improve spectrum utilisation while protecting larger range of coexisting users. In this article, we present a new spectrum leasing solution using the matching theory. Based on this Nobel Prize winning framework, a novel distributed scheme, for joint resource management and business side, is built. Yet, we exhibit a new scheme, whereby multiple primary users (PUs) and secondary users (SUs) interact with one another to select their best possible partner optimising their own benefits. To efficiently use available spectrum, each SU seeks to be allocated a channel with sufficient bandwidth and low cost. Numerical investigations illustrate how stable the matching scheme and how it outperforms standard resource allocation. It is also compared with flat rate multiple access scheme via implementing the two schedulers in terms of network size, SUs' QoS demand and bandwidth fee.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de3eb5cf542ad76a5dc4f232b7c49e6 https://doi.org/10.1504/ijaacs.2019.10018413 Zobrazit plný text záznamu