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Coverage-optimized downlink scheduling design for wireless systems with multiple antennas

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1 Author(s)
V. K. N. Lau ; Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon

It is well-known that wireless scheduling algorithm could exploit multi-user diversity to enhance the network capacity of wireless systems. However, the advantage of scheduling with respect to network coverage is a relatively unexplored topic and it is the focus of this paper to study optimal scheduler design with respect to network coverage. We consider a wireless system with an access point or base station equipped with nT transmit antennas as well as K mobiles with single receive antenna. We first extend the conventional concept of coverage and proposed a utility-based coverage. We consider two examples of coverage utility functions, namely the network centric utility and the user centric utility. Based on the generalized concept of network coverage, we propose a systematic framework based on information theoretical approach and formulate the scheduling design as a mixed concave and combinatorial optimization problem. As a result, we found that multi-user selection diversity, spatial multiplexing and spatial diversity due to the nT antennas are the major factors contributing to network coverage gain. Due to the huge search space, the complexity of the optimal algorithm is enormous. We consider a genetic-based scheduler design, which offers a reasonable complexity-performance tradeoff

Published in:

IEEE Transactions on Wireless Communications  (Volume:5 ,  Issue: 10 )