Multi-cell Optimal Downlink Beamforming Algorithm with Per-base Station Power Constraints |
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Authors: | Fan Huang Yafeng Wang Jian Geng Dacheng Yang |
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Affiliation: | 1.Wireless Theories and Technologies Lab (WT&T),Beijing University of Posts and Telecommunications,Beijing,People’s Republic of China |
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Abstract: | We consider a problem of optimizing multi-cell downlink throughput in multiple-input single-output (MISO) beamforming with
single user per sub-channel in the wireless communication system. Previous work based on the generalization of uplink-downlink
duality has already reformulated the maximum achievable downlink throughput into dual uplink throughput maximization problem.
Since the dual uplink problem is nonconvex, it is difficult to find its optimal solution. The main contribution of this paper
is a novel practical algorithm based on heuristic to find the solution of beamforer design satisfying the necessary optimality
conditions of the dual uplink problem. Meanwhile the converged beamforming vectors can in turn improve the system sum rate
significantly. As the dual problem is a mixed optimization, we also provide algorithms for its two sub-optimal problems. Simulation
results validate the convergence and the efficiency of proposed algorithms. |
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