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

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2 Author(s)
Janghoon Yang ; Yonsei Univ., Seoul ; Dong Ku Kim

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.

Published in:

Communications Letters, IEEE  (Volume:12 ,  Issue: 4 )