Transmit antenna selection of correlated MIMO multiuser cognitive radio networks in Nakagami-m fading channels

Ahmed H. Abd El-Malek, Fawaz S. Al-Qahtani, Salam A. Zummo, Hussein Alnuweiri

Research output: Contribution to journalArticle

Abstract

In this paper, we examine the impact of antenna correlation on transmit antenna selection with receive maximal ratio combining (TAS/MRC) in multiple-input multiple-output multiuser underlay cognitive radio network (MIMO-MCN) over a Nakagami-m fading environment. The secondary network under consideration consists of a single source and M destinations equipped with multiple correlated antennas at each node. The primary network composed of L primary users, each of which is equipped with multiple correlated antennas. For the considered underlay spectrum sharing paradigm, the transmission power of the proposed secondary system is limited by the peak interference limit on the primary network and the maximum transmission power at the secondary network. In particular, we derive exact closed-form expressions for the outage probability and average symbol error rate of the proposed secondary system. To gain further insights, simple asymptotic closed-form expressions for the outage probability and symbol error rate are provided to obtain the achievable diversity order and coding gain of the system. In addition, the impact of antenna correlation on the secondary user ergodic capacity has been investigated by deriving closed-form expressions for the secondary user capacity. The derived analytical formulas herein are supported by numerical and simulation results to clarify the main contributions.

Original languageEnglish
Pages (from-to)2098-2115
Number of pages18
JournalWireless Communications and Mobile Computing
Volume16
Issue number14
DOIs
Publication statusPublished - 10 Oct 2016

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Keywords

  • antenna selection
  • cognitive radio
  • MIMO systems

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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