A Resource Allocation Algorithm for Cluster-based Cooperative MIMO in WSN

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

Abstract / Description of output

Energy efficiency is a considerable criterion in design of wireless sensor networks. MIMO technology has the potential of supporting a higher data rate under a lower power budget and bit-error-rate, which makes cooperative MIMO in WSNs a popular research topic. This paper investigates a cluster-based time division cooperative MIMO communication system for WSNs. An optimum algorithm for the power and time allocation for an intra-cluster and inter-cluster slot has been proposed. By introducing two adjusting parameters for the energy and the time slot respectively, this algorithm is designed to achieve the maximum data throughput for one single-hop and at the same time remain within the tolerance of the outage probability requirement. Performance of different STBC schemes using such an optimum algorithm and the SISO transmission method are compared by simulation.
Original languageEnglish
Title of host publication2009 International Conference on Ultra Modern Telecommunications & Workshops
PublisherInstitute of Electrical and Electronics Engineers
Publication statusPublished - 4 Dec 2009
Event 2009 International Conference on Ultra Modern Telecommunications - St. Petersburg, Russian Federation
Duration: 15 Oct 200919 Oct 2009

Conference

Conference 2009 International Conference on Ultra Modern Telecommunications
Abbreviated titleICUMT 2009
Country/TerritoryRussian Federation
CitySt. Petersburg
Period15/10/0919/10/09

Keywords / Materials (for Non-textual outputs)

  • SISO transmission method
  • STBC scheme
  • bit-error-rate
  • cluster-based time division cooperative MIMO communication system
  • intra-inter-cluster slot
  • optimum algorithm
  • outage probability
  • resource allocation algorithm
  • wireless sensor network design
  • MIMO communication
  • error statistics
  • probability
  • resource allocation
  • telecommunication network planning
  • wireless sensor networks

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