Please use this identifier to cite or link to this item: https://doi.org/10.1109/GLOCOM.2010.5683394
Title: Collaborative nonlinear transceiver optimization in multi-tier MIMO cognitive radio networks with deterministically imperfect CSI
Authors: Gharavol, E.A.
Liang, Y.-C.
Mouthaan, K. 
Keywords: Channel uncertainty and imperfect CSI
Cognitive radio network
Matrix decision feedback equalizer (DFE) transceiver
Tomlinson-Harashima precoding (THP) scheme
Worst-case design
Issue Date: 2010
Source: Gharavol, E.A.,Liang, Y.-C.,Mouthaan, K. (2010). Collaborative nonlinear transceiver optimization in multi-tier MIMO cognitive radio networks with deterministically imperfect CSI. GLOBECOM - IEEE Global Telecommunications Conference : -. ScholarBank@NUS Repository. https://doi.org/10.1109/GLOCOM.2010.5683394
Abstract: The problem of nonlinear transceiver optimization in a multi-tier Multiple-Input Multiple-Output (MIMO) network in Cognitive Radio Network (CR-Net) configuration is studied. The employed transmission schemes are based on the Matrix Decision Feedback Equalizer (DFE) and Tomlinson-Harashima Precoder (THP). It is assumed that the Channel State Information (CSI) is not known perfectly. The performance measure used for optimizing the network is based on the sum Mean Square Error (MSE) of symbol estimation in the system. The design problem is constrained by the transmit power of the Secondary Users (SU's) as well as the maximum allowed interfering power to the Primary Users (PU's). The design problem is not jointly convex in its design variables and has infinitely many constraints. To overcome this, a suboptimal iterative procedure is proposed. Based on the chosen model for uncertainty, the two resultant problems are Semidefinite Programs (SDP). These two problems are solved numerically. Finally simulations results are provided to assess the performance of the system. ©2010 IEEE.
Source Title: GLOBECOM - IEEE Global Telecommunications Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/69630
ISBN: 9781424456383
DOI: 10.1109/GLOCOM.2010.5683394
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