Cognitive radio scheduling for overwater communications

Weiyi Zhang, Shi Bai, Yang Liu, Jian Tang

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

2 Scopus citations

Abstract

Wireless communications over water may suffer from serious multipath fading due to strong specular reflections from conducting water surfaces. Cognitive radios enable dynamic spectrum access over a large frequency range, which can be used to mitigate this problem. In this paper, we study how to leverage cognitive radios for effective communications in wireless networks over water. We formally define the studied problem as the OVErwater Radio-Time Scheduling (OVERTS) problem which seeks a radio channel with time schedule such that the total of assigned eligible time slots, in which a " good " communication link is maintained between every Mobile Station (MS) and the Base Station (BS), satisfies the time slots requirement of each MS. Two effective heuristic algorithms are presented for the OVERTS problem. Simulation results are presented to justify the performance and efficiency of our proposed scheduling algorithms.

Original languageEnglish (US)
Title of host publication2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
DOIs
StatePublished - Dec 1 2010
Externally publishedYes
Event53rd IEEE Global Communications Conference, GLOBECOM 2010 - Miami, FL, United States
Duration: Dec 6 2010Dec 10 2010

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other53rd IEEE Global Communications Conference, GLOBECOM 2010
CountryUnited States
CityMiami, FL
Period12/6/1012/10/10

Keywords

  • Channel assignment
  • Cognitive radio
  • Overwater communication
  • Resource allocation
  • Scheduling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Zhang, W., Bai, S., Liu, Y., & Tang, J. (2010). Cognitive radio scheduling for overwater communications. In 2010 IEEE Global Telecommunications Conference, GLOBECOM 2010 [5683565] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2010.5683565