Optimal feedback quantization schemes for multiuser diversity systems.
Published: 2004
Language: eng
Number of pages: 58
Description: In a system utilizing multiuser diversity, regular feedback of channel qualities to the base station is required for each user. Typically, the measure of channel quality has to be quantized at each mobile station before it can be sent back. In this paper, we present two distributed scalar quantization schemes that optimize two different performance criteria: the minimization of the probability Pe of incorrectly identifying the user with the best channel quality and maximization of resulting transmission capacity C. For a typical Rayleigh-fading system with 30 users, simulation results show that the Pe and  C realized by the uniform quantization strategy with 16 quantization levels for each user can be achieved by only 3 quantization levels using the two proposed strategies. A practical approximation of the proposed schemes is studied and is shown to provide near-optimal performance as the number of levels L becomes large.
Notes: Adviser: F. R. Kschischang.

Thesis (M.A.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 42-06, page: 2293.

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