Block Coordinated Beamforming Algorithm for Multi-Cell MISO Downlink Systems

Shiwen He*, Yongming Huang, Arumugam Nallanathan, Luxi Yang, Lei Jiang, Ming Lei, Shi Jin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

1 Citation (Scopus)

Abstract

This paper investigates the coordinated beamforming design for multi-cell MISO downlink beamforming system, aiming at maximizing the sum rate. In the proposed scheme, convex approximation approach is used to first recast the primal non-convex problem into an approximate problem of minimizing the sum of weighted inverse SINR. Then, an alternating optimization method is developed to address the approximate problem based on uplink-downlink duality. We show that our solution is globally optimal in the case of two-BS cooperation with a total power constraint, and is also effective in a general case. When extending to per-BS power constraints, an alternating optimization algorithm with provable convergence to stationary point is proposed following a similar procedure. Our simulation results show that the proposed scheme has a fast convergence and achieves a sum rate performance very close to the optimal performance obtained by exhaustive search.
Original languageEnglish
Title of host publication2013 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Place of PublicationNEW YORK
PublisherIEEE
Pages4926-4930
Number of pages5
ISBN (Print)9781467331227
DOIs
Publication statusPublished - Jun 2013
EventIEEE International Conference on Communications (ICC) - Budapest, Hungary
Duration: 9 Jun 201313 Jun 2013

Publication series

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

Conference

ConferenceIEEE International Conference on Communications (ICC)
Country/TerritoryHungary
Period9/06/201313/06/2013

Keywords

  • Multi-cell MISO Downlink
  • Coordinated beamforming
  • Convex Approximation
  • Uplink-Downlink Duality
  • OPTIMIZATION
  • MANAGEMENT

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