Improving throughput by fine-grained channel allocation in cooperative wireless networks

Peng Li, Song Guo, Victor C M Leung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)


Cooperative communication provides an efficient and low-cost way to achieve spatial diversity without deploying multiple antennas on each node in wireless networks. In a channel-constrained environment, such as cognitive radio networks, the channel allocation as well as relay assignment have been identified as two critical factors in determining the performance of multiple source-destination pairs. However, the advantage of channel diversity has little been exploited in such networks under a simplified model where the transmissions within a cooperative communication pair are on a common channel. In this paper, we consider a fine-grained channel allocation scheme that the source and the relay can work on different channels to complete a signal transmission. We study its performance gain in maximizing the minimum throughput among multiple source-destination pairs in channel-constrained wireless networks with a number of dedicated relay nodes. This problem is proved to be NP-hard and an online algorithm is proposed for a dynamic wireless network where the accessible channels of each node may vary from time to time. Extensive simulations are conducted to show that the proposed fine-grained channel allocation scheme can effectively improve the performance under various network settings.
Original languageEnglish
Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
Number of pages5
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
Duration: 3 Dec 20127 Dec 2012


Conference2012 IEEE Global Communications Conference, GLOBECOM 2012
Country/TerritoryUnited States
CityAnaheim, CA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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