Impact of factor graph on average sum rate for uplink sparse code multiple access systems

Zheng Yang, Jingjing Cui, Xianfu Lei, Zhiguo Ding, Pingzhi Fan, Dageng Chen

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

In this paper, we first study the average sum rate of sparse code multiple access (SCMA) systems, where a general scenario is considered under the assumption that the distances between the mobile users and the base station are not necessarily identical. Closed-form analytical results are derived for the average sum rate based on which an optimal factor graph matrix is designed for maximizing the capacity of the SCMA systems. Moreover, we propose a low-complexity iterative algorithm to facilitate the design of the optimal graph matrix. Finally, Monte Carlo simulations are provided to corroborate the accuracy of the theoretical results and the efficiency of the proposed iterative algorithm.

Original languageBritish English
Article number7582475
Pages (from-to)6585-6590
Number of pages6
JournalIEEE Access
Volume4
DOIs
StatePublished - 2016

Keywords

  • average sum rate
  • Multiple access
  • optimal factor graph

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