CDF-Based Multiuser Scheduling for Downlink Non-Orthogonal Multiple Access (NOMA)

Byungju Lim, Sung Sik Nam, Young Chai Ko, Mohamed Slim Alouini

Research output: Contribution to journalArticle

Abstract

In this paper, we propose cumulative distribution function (CDF)-based multiuser scheduling (CMS) for downlink non-orthogonal multiple access (NOMA) to accommodate a massive number of IoT devices over limited radio resources and statistically analyze the ergodic capacity of devices. With the proposed CMS algorithm, multiple devices having relatively better channel gain to exploit multiuser diversity are selected while meeting QoS requirements by controlling the amount of resources. We first provide the user selection probability in terms of the weight of each device, which determines the amount of time resources. Based on some selected results, it is shown that equal weights ensure fair resource allocation. Further, for fair resource allocation scenario, the distribution of signal-to-interference-plus-noise ratio (SINR) when a specific device is selected is derived. With this derived statistical result of SINR, we analyze the ergodic capacity of the specific device. Some selected results show that the proposed CMS algorithm allocates the time resource more fairly than proportional fair scheduling. Further, the average throughput and amount of resources can be controlled by adjusting the weights of each device, so different QoS requirements can be guaranteed.

Original languageEnglish
Article number9149912
Pages (from-to)140533-140545
Number of pages13
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 2020

Keywords

  • CDF
  • ergodic capacity
  • fair resource allocation
  • NOMA
  • scheduling

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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