A Generalization of the Achievable Rate of a MISO System Using Bode-Fano Wideband Matching Theory

作     者：Deshpande, Nitish Vikas Castellanos, Miguel R. Khosravirad, Saeed R. Du, Jinfeng Viswanathan, Harish Heath, Robert W. 

作者机构：University of California San Diego Department of Electrical and Computer Engineering La Jolla CA92093 United States North Carolina State University Department of Electrical and Computer Engineering RaleighNC27606 United States Nokia Bell Laboratories Murray HillNJ07974 United States 

出 版 物：《IEEE Transactions on Wireless Communications》 (IEEE Trans. Wireless Commun.)

年 卷 期：2024年第23卷第10期

页      面：13313-13329页

核心收录：

学科分类：0810[工学-信息与通信工程] 0711[理学-系统科学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：This work was supported in part by Nokia Bell Laboratories, Murray Hill, NJ, USA in part by the National Science Foundation under Grant NSF-CNS-2147955 and Grant NSF-ECCS-2153698 and in part by funds from federal agencies and industry partners from the Resilient and Intelligent NextG Systems Program 

主　　题：Scattering parameters 

摘      要：Impedance-matching networks affect power transfer from the radio frequency (RF) chains to the antennas. Their design impacts the signal to noise ratio (SNR) and the achievable rate. In this paper, we maximize the information-theoretic achievable rate of a multiple-input-single-output (MISO) system with wideband matching constraints. Using a multiport circuit theory approach with frequency-selective scattering parameters, we propose a general framework for optimizing the MISO achievable rate that incorporates Bode-Fano wideband matching theory. We express the solution to the achievable rate optimization problem in terms of the optimized transmission coefficient and the Lagrangian parameters corresponding to the Bode-Fano inequality constraints. We apply this framework to a single electric Chu s antenna and an array of dipole antennas. We compare the optimized achievable rate obtained numerically with other benchmarks like the ideal achievable rate computed by disregarding matching constraints and the achievable rate obtained by using sub-optimal matching strategies like conjugate matching and frequency-flat transmission. We also propose a practical methodology to approximate the achievable rate bound by using the optimal transmission coefficient to derive a physically realizable matching network through the ADS software. © 2024 IEEE.