Multi-cell uplink-downlink beamforming throughput duality based on Lagrangian duality with per-base station power constraints

Janghoon Yang, Dong Ku Kim

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Despite significant research efforts in beamforming, the maximum achievable downlink throughput with beamforming in a multi-cell environment is not available due to difficulty in finding optimal downlink beamforming. Thus, to reformulate the problem into a more solvable form, we derive dual uplink throughput optimization problem to multi-cell downlink beam- forming throughput maximization with per-base station (BS) power constraints based on Lagrangian duality. The optimal downlink beamforming is shown to be a minimum mean squared error (MMSE) beamforming in the dual uplink. It is also shown that the dual uplink problem achieves the same optimal throughput as the primal downlink problem.

Original languageEnglish
Pages (from-to)277-279
Number of pages3
JournalIEEE Communications Letters
Volume12
Issue number4
DOIs
Publication statusPublished - 2008 Dec 1

Fingerprint

Lagrangian Duality
Uplink
Beamforming
Base stations
Duality
Throughput
Cell
Mean Squared Error
Optimization Problem

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modelling and Simulation

Cite this

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Multi-cell uplink-downlink beamforming throughput duality based on Lagrangian duality with per-base station power constraints. / Yang, Janghoon; Kim, Dong Ku.

In: IEEE Communications Letters, Vol. 12, No. 4, 01.12.2008, p. 277-279.

Research output: Contribution to journalArticle

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