Please use this identifier to cite or link to this item: https://doi.org/10.1109/TWC.2011.030911.100337
Title: Robust linear transceiver design in MIMO Ad HoC cognitive radio networks with imperfect channel state information
Authors: Gharavol, E.A.
Liang, Y.-C.
Mouthaan, K. 
Keywords: cognitive radio network
imperfect CSI
linear matrix inequality
multi-user MIMO communications
Robust beamforming
worst case design
Issue Date: May-2011
Source: Gharavol, E.A., Liang, Y.-C., Mouthaan, K. (2011-05). Robust linear transceiver design in MIMO Ad HoC cognitive radio networks with imperfect channel state information. IEEE Transactions on Wireless Communications 10 (5) : 1448-1457. ScholarBank@NUS Repository. https://doi.org/10.1109/TWC.2011.030911.100337
Abstract: The joint linear transceiver design for Multiple-Input Multiple-Output (MIMO) \adhoc cognitive radio networks when the channel state information (CSI) is uncertain is discussed in this paper. The uncertainty in CSI is modeled using Stochastic Error (SE) and Norm Bounded Error (NBE) models. The Sum-Mean Square Error (SMSE) performance is used to formulate the design problem. To optimize the network, the transmit power budget for secondary user transmitters and the maximum allowed interference at primary user receivers are constrained. In the design methodology, the network parameters are optimized to best serve the users when the worst possible channel realizations occur. It is shown that for the SE model of uncertainty, this problem can be cast as a Second Order Cone Problem (SOCP), while for the NBE model, the problem becomes a Semi-Definite Program (SDP). These two problems are solved efficiently using the numerical solver packages YALMIP and SDPT3. Finally simulation results are presented to evaluate the performance of the proposed methods. © 2011 IEEE.
Source Title: IEEE Transactions on Wireless Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/57302
ISSN: 15361276
DOI: 10.1109/TWC.2011.030911.100337
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