JOURNAL ARTICLE

Exact Performance Analysis of MIMO Cognitive Radio Systems Using Transmit Antenna Selection

Kamel TourkiFahd Ahmed KhanKhalid QaraqeHong‐Chuan YangMohamed‐Slim Alouini

Year: 2014 Journal:   IEEE Journal on Selected Areas in Communications Vol: 32 (3)Pages: 425-438   Publisher: Institute of Electrical and Electronics Engineers

Abstract

We consider in this paper, a spectrum sharing cognitive radio system with a ratio selection scheme; where one out of N independent-and-identically- distributed transmit antennas is selected such that the ratio of the secondary transmitter (ST) to the secondary receiver (SR) channel gain to the interference from the ST to the primary receiver (PR) channel gain is maximized. Although previous works considered perfect, outdated, or partial channel state information at the transmitter, we stress that using such assumptions may lead to a feedback overhead for updating the SR with the ST-PR interference channel estimation. Considering only statistical knowledge of the ST-PR channel gain, we investigate a ratio selection scheme using a mean value (MV)-based power allocation strategy referred to as MV-based scheme. We first provide the exact statistics in terms of probability density function and cumulative distribution function of the secondary channel gain as well as of the interference channel gain. Furthermore, we derive exact cumulative density function of the received signal-to-noise ratio at the SR where the ST uses a power allocation based on instantaneous perfect channel state information (CSI) referred to as CSI-based scheme. These statistics are then used to derive exact closed form expressions of the outage probability, symbol error rate, and ergodic capacity of the secondary system when the interference channel from the primary transmitter (PT) to the SR is ignored. Furthermore, an asymptotical analysis is also carried out for the MV-based scheme as well as for the CSI-based scheme to derive the generalized diversity gain for each. Subsequently, we address the performance analysis based on exact statistics of the combined signal-to-interference-plus- noise ratio at the SR of the more challenging case; when the PT-SR interference channel is considered. Numerical results in a Rayleigh fading environment manifest that the MV-based scheme outperforms the CSI-based scheme provided that a low interference power constraint is deployed, implying that the MV-based scheme is more suitable for practical systems. © 1983-2012 IEEE.

Keywords:
Channel state information Transmitter Cognitive radio Computer science Channel (broadcasting) Cumulative distribution function MIMO Interference (communication) Transmitter power output Signal-to-noise ratio (imaging) Overhead (engineering) Telecommunications Topology (electrical circuits) Algorithm Probability density function Statistics Mathematics Wireless

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69
Cited By
15.81
FWCI (Field Weighted Citation Impact)
24
Refs
0.99
Citation Normalized Percentile
Is in top 1%
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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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