Student Spotlight: Multiuser Resource Allocation in Multichannel Wireless Communication Systems

by Zukang Shen, The University of Texas at Austin

 Dissertation Advisors: Prof. Jeffrey G. Andrews and Prof. Brian L. Evans

Channel-aware adaptive resource allocation improves system performance when compared to static resource allocations. This dissertation aims to optimally allocate the resources in downlink multiuser multichannel wireless systems such that the system throughput is maximized under various constraints. The first contribution is a general framework for adaptive resource allocation in multiuser multicarrier systems that maximizes the total throughput subject to fairness constraints to enforce arbitrary proportional data rates among users. The second and third contributions concern precoding using block diagonalization (BD) for single-carrier downlink multiuser multi-input multi-output systems. In the second contribution, the sum capacity of BD is compared to the optimal dirty paper coding strategy in any given channel and Rayleigh fading channels. In the third contribution, two greedy near-optimal low-complexity user selection algorithms are proposed to maximize the sum capacity. These algorithms have linear complexity in the number of total users.

 The dissertation and defense slides can be found at

  http://www.ece.utexas.edu/~bevans/students/phd/zukang_shen/

 Dr. Zukang Shen has accepted a full-time position at Texas Instruments in Dallas , Texas .