Opportunistic polling for capacity-region-aware MAC in wireless networks with partial CSI

Yi Shing Liou, Rung-Hung Gau, Chung Ju Chang

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

Abstract

In this paper, we propose two opportunistic polling algorithms for capacity-region-aware medium access control (MAC) in wireless networks with partial channel state information. Based on the probability density function of the unknown channel gain, the proposed algorithms opportunistically exploit the capacity region of a multiple access channel in network information theory and benefit from successive interference cancellation techniques. Simulation results show that both algorithms could increase the network throughput. Furthermore, the active opportunistic polling algorithm could increase the network throughput by more than 30%.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communications, ICC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2900-2905
Number of pages6
ISBN (Electronic)9781467364324
DOIs
StatePublished - 9 Sep 2015
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

NameIEEE International Conference on Communications
Volume2015-September
ISSN (Print)1550-3607

Conference

ConferenceIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period8/06/1512/06/15

Keywords

  • capacity region
  • channel state information
  • cross-layer design
  • medium access control
  • opportunistic polling

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    Liou, Y. S., Gau, R-H., & Chang, C. J. (2015). Opportunistic polling for capacity-region-aware MAC in wireless networks with partial CSI. In 2015 IEEE International Conference on Communications, ICC 2015 (pp. 2900-2905). [7248767] (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7248767