Joint precoder and decoder design in multiuser downlink MIMO communications for common, private and common+private information transmission

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2017

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Deniz, Umay Ezgi

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The joint precoder/ decoder design in the multiuser downlink multi-input-multioutput (MU-MIMO) communication problem is investigated under three different scenarios. In the first scenario, the same information denoted as common information is delivered to all users, i.e. multicasting scenario. In the second scenario, the base station (BS) transmits independent information bits (private information) to the users, i.e. the conventional communication scenario. Finally, in the third scenario, the BS concurrently delivers both common and private information to the users. The main goal of this thesis is to study precoder/ decoder design for these scenarios. The precoder/ decoder pairs are optimized according to the maximum-minimum fairness (MMF), quality of service (QoS) and minimum total mean square error (TMSE) criteria. In the MMF and QoS problem settings, the optimization problem is non-convex and accomplished by semidefinite relaxation method or another technique known as exact penalty approach. The TMSE minimization is accomplished by sequential design of optimal linear estimator (Wiener filter) at the transmitter and receiver. Simulations with respect to various system parameters such as the number of transmitter and receiver antennas, the number of users and given transmitted power are performed in order to observe the characterization of performance metrics like minimummean SNR/SINR, BER or MSE etc. Moreover, the computation times of the v algorithms are also compared in order to evaluate their applicability in practice.

Subject Keywords

MIMO systems., Decoders (Electronics)., Wireless communication systems.

URI

http://etd.lib.metu.edu.tr/upload/12620915/index.pdf
https://hdl.handle.net/11511/26405

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

U. E. Deniz, “Joint precoder and decoder design in multiuser downlink MIMO communications for common, private and common+private information transmission,” M.S. - Master of Science, Middle East Technical University, 2017.