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Cost-efficient codebook assignment and power allocation for energy efficiency maximization in SCMA networks

  • Yuzhou Li
  • , Min Sheng
  • , Zhisheng Sun
  • , Yuhua Sun
  • , Lei Liu
  • , Daosen Zhai
  • , Jiandong Li
  • Huazhong University of Science and Technology
  • Xidian University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

In this paper, we investigate the energy-efficient transmission problem by resource allocation in SCMA networks. We formulate it as an optimization problem to maximize the network energy efficiency (EE) subject to quality-of-service (QoS) requirements, codebook assignment, power allocation, and subcarrier reuse constraints. Due to its mixed combinatory, we separate codebook assignment and power allocation to devise suboptimal but cost-efficient algorithms. With power equally distributed, we first propose a novel scheme to assign codebooks. We then develop a derivative-bisection based algorithm to optimally solve the resultant power allocation problem by exploiting its quasiconcave structure. Simulation results exhibit the superiority of the proposed algorithms against the existing classical schemes and of SCMA over OFDMA in terms of the network EE.

Original languageEnglish
Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017010
DOIs
StatePublished - 2 Jul 2016
Externally publishedYes
Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: 18 Sep 201621 Sep 2016

Publication series

NameIEEE Vehicular Technology Conference
Volume0
ISSN (Print)1550-2252

Conference

Conference84th IEEE Vehicular Technology Conference, VTC Fall 2016
Country/TerritoryCanada
CityMontreal
Period18/09/1621/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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