Traffic driven resource allocation in heterogenous wireless networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Most work on wireless network resource allocation use physical layer performance such as sum rate and outage probability as the figure of merit. These metrics may not reflect the true user QoS in future heterogenous networks (HetNets) with many small cells, due to large traffic variations in overlapping cells with complicated interference conditions. This paper studies the spectrum allocation problem in HetNets using the average packet sojourn time as the performance metric. To be specific, in a HetNet with K base terminal stations (BTS's), we determine the optimal partition of the spectrum into 2K possible spectrum sharing combinations. We use an interactive queueing model to characterize the flow level performance, where the service rates are decided by the spectrum partition. The spectrum allocation problem is formulated using a conservative approximation, which makes the optimization problem convex. We prove that in the optimal solution the spectrum is divided into at most K pieces. A numerical algorithm is provided to solve the spectrum allocation problem on a slow timescale with aggregate traffic and service information. Simulation results show that the proposed solution achieves significant gains compared to both orthogonal and full spectrum reuse allocations with moderate to heavy traffic.

Original languageEnglish (US)
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1546-1551
Number of pages6
ISBN (Electronic)9781479935116
DOIs
StatePublished - Feb 9 2014
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: Dec 8 2014Dec 12 2014

Publication series

Name2014 IEEE Global Communications Conference, GLOBECOM 2014

Other

Other2014 IEEE Global Communications Conference, GLOBECOM 2014
CountryUnited States
CityAustin
Period12/8/1412/12/14

ASJC Scopus subject areas

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

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  • Cite this

    Zhuang, B., Guo, D., & Honig, M. L. (2014). Traffic driven resource allocation in heterogenous wireless networks. In 2014 IEEE Global Communications Conference, GLOBECOM 2014 (pp. 1546-1551). [7037028] (2014 IEEE Global Communications Conference, GLOBECOM 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7037028