Transmit and Receive Antenna Port Selection for Channel Capacity Maximization in Fluid-MIMO Systems

IF 5.5 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Wireless Communications Letters Pub Date : 2024-09-11 DOI:10.1109/LWC.2024.3458417
Christos N. Efrem;Ioannis Krikidis
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Abstract

In this letter, we study a discrete optimization problem, namely, the maximization of channel capacity in fluid multiple-input multiple-output (fluid-MIMO) systems through the selection of antenna ports/positions at both the transmitter and the receiver. First, we present a new joint convex relaxation (JCR) problem by using an upper bound on the channel capacity and exploiting the binary nature of optimization variables. Then, we develop and analyze two optimization algorithms with different performance-complexity tradeoffs. The first algorithm is based on JCR and reduced exhaustive search (JCR&RES), while the second on JCR and alternating optimization (JCR&AO).
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在流体多输入多输出系统中选择发射和接收天线端口以实现信道容量最大化
在这封信中,我们研究了一个离散优化问题,即在流体多输入多输出(fluid-MIMO)系统中,通过选择发射器和接收器的天线端口/位置实现信道容量最大化。首先,我们提出了一个新的联合凸松弛(JCR)问题,该问题使用了信道容量上限,并利用了优化变量的二进制性质。然后,我们开发并分析了两种性能-复杂度权衡不同的优化算法。第一种算法基于 JCR 和简化穷举搜索(JCR&RES),第二种算法基于 JCR 和交替优化(JCR&AO)。
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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来源期刊
IEEE Wireless Communications Letters
IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering
CiteScore
12.30
自引率
6.30%
发文量
481
期刊介绍: IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.
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