Generalized Selection Combining for Cognitive Relay Networks over Nakagami-m Fading

Yansha Deng, Lifeng Wang, Maged Elkashlan, Kyeong Jin Kim, Trung Q. Duong

Research output: Contribution to journalArticle

52 Citations (Scopus)
296 Downloads (Pure)

Abstract

We consider transmit antenna selection with receive generalized selection combining (TAS/GSC) for cognitive decodeand-forward (DF) relaying in Nakagami-m fading channels. In an effort to assess the performance, the probability density function and the cumulative distribution function of the endto-end SNR are derived using the moment generating function, from which new exact closed-form expressions for the outage probability and the symbol error rate are derived. We then derive a new closed-form expression for the ergodic capacity. More importantly, by deriving the asymptotic expressions for the outage probability and the symbol error rate, as well as the high SNR approximations of the ergodic capacity, we establish new design insights under the two distinct constraint scenarios: 1) proportional interference power constraint, and 2) fixed interference power constraint. Several pivotal conclusions are reached. For the first scenario, the full diversity order of the
outage probability and the symbol error rate is achieved, and the high SNR slope of the ergodic capacity is 1/2. For the second scenario, the diversity order of the outage probability and the symbol error rate is zero with error floors, and the high SNR slope of the ergodic capacity is zero with capacity ceiling.
Original languageEnglish
Pages (from-to)1993-2006
Number of pages14
JournalIEEE Transactions on Signal Processing
Volume63
Issue number8
Early online date19 Feb 2015
DOIs
Publication statusPublished - 15 Apr 2015

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