Power allocation and user clustering for uplink MC-NOMA in D2D underlaid cellular networks

Hanyu Zheng, Shujuan Hou*, Hai Li, Zhengyu Song, Yuanyuan Hao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

In this letter, the resource allocation problem for uplink multi-carrier non-orthogonal multiple access (NOMA) in device-to-device (D2D) underlaid cellular networks is investigated. Due to the existence of D2D pairs, NOMA users are subject to varying degrees of interference. We formulate the problem as a Nash bargaining game to maximize the Nash product of each user. We propose an iterative algorithm applying Karush-Kuhn-Tucker conditions to solve the power allocation problem and modeling the user clustering as a Hedonic coalition game. Simulation results verify the convergence of the proposed algorithms. Besides, the algorithms achieve near-optimal performance compared to exhaustive search method and the throughput and fairness in NOMA are both higher than those in orthogonal multiple access.

Original languageEnglish
Article number8375659
Pages (from-to)1030-1033
Number of pages4
JournalIEEE Wireless Communications Letters
Volume7
Issue number6
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Device-to-device
  • Hedonic coalition game
  • Nash bargaining game
  • non-orthogonal multiple access
  • resource allocation

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Zheng, H., Hou, S., Li, H., Song, Z., & Hao, Y. (2018). Power allocation and user clustering for uplink MC-NOMA in D2D underlaid cellular networks. IEEE Wireless Communications Letters, 7(6), 1030-1033. Article 8375659. https://doi.org/10.1109/LWC.2018.2845398