JOURNAL ARTICLE

On the Outage Capacity of Sensing-Enhanced Spectrum Sharing Cognitive Radio Systems in Fading Channels

Stergios StotasArumugam Nallanathan

Year: 2011 Journal:   IEEE Transactions on Communications Vol: 59 (10)Pages: 2871-2882   Publisher: IEEE Communications Society

Abstract

Spectrum sharing has received an increasing amount of attention in cognitive radio over the past few years as an effective method of alleviating the spectrum scarcity problem in wireless communications by allowing unlicensed users to use the same spectrum as the licensed users under the condition of protecting the latter from harmful interference using a received interference power constraint at the licensed receivers. In this paper, we study the outage capacity and the truncated channel inversion with fixed rate (TIFR) capacity of a sensing-enhanced spectrum sharing cognitive radio system under two different scenarios, namely with and without missed-detection interference power constraints for the protection of the primary users, for both Rayleigh and Nakagami-m fading channels. In our analysis, we consider various constraints on the capacity that include: (i) average transmit power constraints, (ii) peak interference power constraints, (iii) average interference power constraints and (iv) target detection probability constraints, and derive the power allocation strategy, as well as the TIFR and outage capacity for each scenario. Finally, we provide simulation results, which indicate that the sensing-enhanced spectrum sharing cognitive radio system can achieve higher outage and TIFR capacity compared to the conventional non-sensing spectrum sharing cognitive radio system.

Keywords:
Cognitive radio Interference (communication) Nakagami distribution Computer science Transmitter power output Fading Channel (broadcasting) Rayleigh fading Co-channel interference Computer network Spectrum management Wireless Electronic engineering Telecommunications Transmitter Engineering

Metrics

27
Cited By
4.77
FWCI (Field Weighted Citation Impact)
28
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
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