Transmit antenna selection protocols in random cognitive networks under impact of hardware impairments

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) Pub Date : 2016-09-01 DOI:10.1109/NICS.2016.7725664

P. Ngoc, Tran Trung Duy, Vo Nguyen Quoc Bao, Khuong Ho‐Van

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引用次数: 3

Abstract

In this paper, we evaluate performances of various transmit antenna selection (TAS) protocols in underlay cognitive radio network under impact of hardware impairments. In particular, a secondary base station (SB) selects one of available antennas to transmit its data to a secondary user (SU) that randomly appears in radio range of the SB. In the first proposed scheme (named RAND), the SB randomly selects one antenna to serve the SU. In the second proposed method (named MAXP), the antenna with maximum transmit power will be used to transmit the data. In the third proposal scheme, an optimal TAS method is proposed to maximize the instantaneous signal-to-noise ratio (SNR) of the SB-SU links. For performance evaluation, we derive exact and asymptotic closed-form expressions of average outage probability (AOP) for the proposed protocols over Rayleigh fading channel. Monte-Carlo simulations are then performed to verify the theoretical results.

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硬件损伤影响下随机认知网络中的发射天线选择协议

在本文中，我们评估了在硬件损伤的影响下，底层认知无线网络中各种发射天线选择(TAS)协议的性能。其中，二级基站从可用的天线中选择一个向随机出现在二级基站无线电范围内的二级用户(SU)发送数据。在第一种方案(RAND)中，二级基站随机选择一个天线为二级用户提供服务，在第二种方案(MAXP)中，使用发射功率最大的天线发送数据。在第三种方案中，提出了一种优化TAS方法，以最大化SB-SU链路的瞬时信噪比(SNR)。为了进行性能评估，我们给出了瑞利衰落信道下协议平均中断概率(AOP)的精确和渐近封闭表达式。然后进行蒙特卡罗模拟来验证理论结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS)

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