Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/49612
Title: Random Beamforming for Multi-cell Multiple-Input Multi-Output (MIMO) Systems
Authors: NGUYEN DUY HIEU
Keywords: Random beamforming, degrees of freedom region, multiuser diversity, receiver diversity, achievable rate
Issue Date: 30-Sep-2013
Source: NGUYEN DUY HIEU (2013-09-30). Random Beamforming for Multi-cell Multiple-Input Multi-Output (MIMO) Systems. ScholarBank@NUS Repository.
Abstract: Random beamforming (RBF) is a practically favourable transmission scheme for multiuser multi-antenna downlink systems since it requires only partial channel state information (CSI) at the transmitter. Under the conventional single-cell setup, RBF is known to achieve the optimal sum-capacity scaling law as the number of users goes to infinity, thanks to the multiuser diversity enabled transmission scheduling that virtually eliminates the intra-cell interference. Although substantial extensions of the single-cell RBF scheme have been pursued, there is very limited work on the performance of the RBF scheme in a more realistic multi-cell system, where the inter-cell interference (ICI) becomes a dominant factor. In this thesis, we characterize the achievable rate for the multi-cell RBF scheme by more judiciously analyzing the impacts of ICI on the system throughput. Furthermore, the impact of receive spatial diversity on the rate performance of RBF is not fully characterized even in a single-cell setup. We thus study a multi-cell multiple-input multiple-output (MIMO) broadcast system with RBF applied at each base station and either the minimum-mean-square-error (MMSE), matched filter (MF), or antenna selection (AS) based spatial receiver at each mobile terminal. We investigate the effect of different spatial diversity receivers on the achievable sum-rate of multi-cell RBF systems subject to both the intra- and inter-cell interferences.
URI: http://scholarbank.nus.edu.sg/handle/10635/49612
Appears in Collections:Ph.D Theses (Open)

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