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Access strategies for spectrum sharing in fading environment : overlay, underlay, and mixed

Khoshkholgh, Mohammad G. and Navaie, Keivan and Yanikomeroglu, Halim (2010) Access strategies for spectrum sharing in fading environment : overlay, underlay, and mixed. IEEE Transactions on Mobile Computing, 9 (12). pp. 1780-1793. ISSN 1536-1233

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Abstract

In this paper, we analyze the achievable capacity of the secondary service for overlay and underlay access strategies. We then propose a novel mixed access strategy in which in contrast to the underlay strategy, the secondary service transmits during the idle periods without considering the interference threshold constraint. In contrast to the overlay strategy, mixed strategy makes transmission during the busy periods with a probability p(a) subject to satisfying the interference threshold constraint. Parameter p(a) is a secondary service parameter, which can be adjusted based on the spectrum status. Moreover, we show that the secondary service can adjust pa to select appropriate access strategy with the objective of maximizing the achieved capacity based on the interference at the secondary service receiver, I, imposed by the primary service transmitter. The proposed spectrum-sharing technique developed in this paper based on I significantly reduces the system complexity comparing to the system in which for spectrum sharing, the imposed interference at the primary receiver is required. We further suggest a simple power allocation scheme for the mixed strategy that its achieved capacity is very close to the maximum achievable capacity of the secondary service.

Item Type: Journal Article
Journal or Publication Title: IEEE Transactions on Mobile Computing
Uncontrolled Keywords: Achievable capacity ; dynamic spectrum access ; interference threshold ; overlay strategy ; spectrum sharing ; underlay strategy ; COGNITIVE RADIO NETWORKS ; POWER ALLOCATION ; CAPACITY ; CHANNELS ; SYSTEMS ; CONSTRAINTS ; DESIGN ; IMPACT ; LIMITS
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 72602
Deposited By: ep_importer_pure
Deposited On: 27 Jan 2015 08:22
Refereed?: Yes
Published?: Published
Last Modified: 07 Aug 2018 04:39
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/72602

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