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Uplink joint resource reallocation in a multi-homing heterogeneous system based on cognitive radio

  • Xinyu Wang
  • , Min Jia*
  • , Qing Guo
  • , Yu Han
  • , Wanmai Yuan
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Hong Kong Polytechnic University

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

Abstract

In this paper, a joint resource reallocation algorithm based on cognitive radio (CR) is investigated for power-constrained user equipment, in a multi-homing heterogeneous system with limited original subcarriers. Currently, all relevant works consider systems where networks run in separate frequency bands. Unlike them, we assume that they are capable of sharing spectrum resources by adopting CR to improve the resource utilization efficiency. Unlike conventional resource allocation, we jointly reallocate both the original resources and the detected new resources of a running system based on spectrum sensing results. This paper first proposes a CR-based uplink joint resource reallocation method on condition that networks can share spectrum resources. Then we formulate the proposed method, adopt the continuity relaxation method to convert the formulated problem into a convex optimization problem, and solve it. Finally, simulation results demonstrate the significantly improved performance of our proposed method, i.e., throughput and energy efficiency over the benchmark.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems
EditorsQilian Liang, Min Jia, Jiasong Mu, Wei Wang, Xuhong Feng, Baoju Zhang
PublisherSpringer Verlag
Pages29-36
Number of pages8
ISBN (Print)9789811065705
DOIs
StatePublished - 2019
Event6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 - Harbin, China
Duration: 14 Jul 201716 Jul 2017

Publication series

NameLecture Notes in Electrical Engineering
Volume463
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017
Country/TerritoryChina
CityHarbin
Period14/07/1716/07/17

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

Keywords

  • Cognitive radio
  • Continuity relaxation method
  • Heterogeneous wireless medium
  • Multi-homing
  • Resource reallocation

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