Joint Spectrum and Power Allocation for Multi-Node Cooperative Wireless Systems

Xueqing Huang, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Energy efficiency is a growing concern for wireless networks, not only due to the emerging traffic demand from smart devices, but also because of the dependence on the traditional unsustainable energy and the overall environmental concerns. The urgent call for reducing power consumption while meeting system requirements has motivated increasing research efforts on green radio. In this paper, we investigate a new joint spectrum and power allocation scheme for a cooperative downlink multi-user system using the frequency division multiple access scheme, in which arbitrary M base stations (BSs) coordinately allocate their resources to each user equipment (UE). With the assumption that multi-BS UE (user being served by multi-BS) would require the same amount of spectrum from these BSs, we conclude that when the number of multi-BS UEs is limited by M-1 , the resource allocation scheme can always guarantee the minimum overall transmit power consumption while meeting the throughput requirement of each UE and also each BS's power constraint. Then, to decide the clusters of multi-BS UEs and the clusters of individual-BS UEs (users being served by individual BSs), we propose a UE-BS association scheme and a complexity reduction scheme. Finally, a novel joint spectrum and power allocation algorithm is proposed to minimize the total power consumption. Simulation results are presented to verify the optimality of the derived schemes.

Original languageEnglish (US)
Article number7001710
Pages (from-to)2034-2044
Number of pages11
JournalIEEE Transactions on Mobile Computing
Volume14
Issue number10
DOIs
StatePublished - Oct 1 2015

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Joint spectrum and power allocation
  • UE-BS association
  • complexity reduction
  • cooperative transmission
  • frequency division multiple access

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