期刊论文详细信息
Entropy
Sum Capacity for Single-Cell Multi-User Systems with M-Ary Inputs
Yue Wu1  Pei Yang2  Liqiang Jin2  Hongwen Yang2 
[1] School of Department of Electronic and Information Engineering, Anhui University of Finance and Economics, Anhui 233030, China;School of Wireless Communication Center, Beijing University of Posts and Telecommunications, Beijing 100876, China;
关键词: sum capacity;    power allocation;    M-ary constellation;    entropy power;    multiple access channel;    broadcast channel;   
DOI  :  10.3390/e19090497
来源: DOAJ
【 摘 要 】

This paper investigates the sum capacity of a single-cell multi-user system under the constraint that the transmitted signal is adopted from M-ary two-dimensional constellation with equal probability for both uplink, i.e., multiple access channel (MAC), and downlink, i.e., broadcast channel (BC) scenarios. Based on the successive interference cancellation (SIC) and the entropy power Gaussian approximation, it is shown that both the multi-user MAC and BC can be approximated to a bank of parallel channels with the channel gains being modified by an extra attenuate factor that equals to the negative exponential of the capacity of interfering users. With this result, the capacity of MAC and BC with arbitrary number of users and arbitrary constellations can be easily calculated which in sharp contrast with using traditional Monte Carlo simulation that the calculating amount increases exponentially with the increase of the number of users. Further, the sum capacity of multi-user under different power allocation strategies including equal power allocation, equal capacity power allocation and maximum capacity power allocation is also investigated. For the equal capacity power allocation, a recursive relation for the solution of power allocation is derived. For the maximum capacity power allocation, the necessary condition for optimal power allocation is obtained and an optimal algorithm for the power allocation optimization problem is proposed based on the necessary condition.

【 授权许可】

Unknown   

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