Capacity Analysis and Sum Rate Maximization for the SCMA Cellular Network Coexisting with D2D Communications  

作　　者：Yukai Liu Wen Chen 

机构地区：[1]Shanghai Institute of Advanced Communications and Data Sciences,Department of Electronic Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《China Communications》2022年第10期55-68,共14页中国通信（英文版）

基　　金：supported by National key project 2018YFB1801102 and 2020YFB1807700;by NSFC 62071296;STCSM 20JC1416502, 22JC1404000

摘　　要：Sparse code multiple access (SCMA) is the most concerning scheme among non-orthogonal multiple access (NOMA) technologies for 5G wireless communication new interface. Another efficient technique in 5G aimed to improve spectral efficiency for local communications is device-to-device (D2D) communications. Therefore, we utilize the SCMA cellular network coexisting with D2D communications for the connection demand of the Internet of things (IOT), and improve the system sum rate performance of the hybrid network. We first derive the information-theoretic expression of the capacity for all users and find the capacity bound of cellular users based on the mutual interference between cellular users and D2D users. Then we consider the power optimization problem for the cellular users and D2D users jointly to maximize the system sum rate. To tackle the non-convex optimization problem, we propose a geometric programming (GP) based iterative power allocation algorithm. Simulation results demonstrate that the proposed algorithm converges fast and well improves the sum rate performance.

关 键 词：SCMA D2D cellular capacity geometric programming 

分 类 号：TN929.5[电子电信—通信与信息系统]