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Optimal phase control for equal-gain transmission in MIMO systems with scalar quantization: Complexity and algorithms

Leung, K. K ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1109/TIT.2010.2048457
  3. Publisher: 2010
  4. Abstract:
  5. The complexity of the optimal phase control problem in wireless MIMO systems with scalar feedback quantization and equal-gain transmission is studied. The problem is shown to be NP-hard when the number of receive antennas grows linearly with the number of transmit antennas. For the case where the number of receive antennas is constant, the problem can be solved in polynomial time. An optimal algorithm is explicitly constructed. For practical purposes, a low-complexity algorithm based on local search is presented. Simulation results show that its performance is nearly optimal
  6. Keywords:
  7. Equal-gain transmission ; Closed-loop ; Closed-loop diversity ; Feedback quantization ; Limited feedback ; Local search ; Low-complexity ; NP-hard ; Optimal algorithm ; Polynomial-time ; Receive antenna ; Scalar quantization ; Simulation result ; Transmit antenna ; Wireless MIMO systems ; Algorithms ; Beamforming ; Computational complexity ; Decoding ; MIMO systems ; Optimization ; Phase control ; Polynomial approximation ; Receiving antennas ; Closed loop control systems
  8. Source: IEEE Transactions on Information Theory ; Volume 56, Issue 7 , June , 2010 , Pages 3343-3355 ; 00189448 (ISSN)
  9. URL: http://ieeexplore.ieee.org/document/5485003