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http://dx.doi.org/10.3837/tiis.2015.12.015

Transceiver Optimization for the Multi-Antenna Downlink in MIMO Cognitive System  

Zhu, Wentao (College of Telecommunication ＆ Information Engineering Nanjing University of Posts and Telecommunications)
Yang, Jingbo (College of Telecommunication ＆ Information Engineering Nanjing University of Posts and Telecommunications)
Jia, Tingting (College of Telecommunication ＆ Information Engineering Nanjing University of Posts and Telecommunications)
Liu, Xu (College of Telecommunication ＆ Information Engineering Nanjing University of Posts and Telecommunications)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.12, 2015 , pp. 5015-5027 More about this Journal
Abstract
Transceiver optimization in multiple input multiple output (MIMO) cognitive systems is studied in this paper. The joint transceiver beamformer design is introduced to minimize the transmit power at secondary base station (SBS) while simultaneously controlling the interference to primary users (PUs) and satisfying the secondary users (SUs) signal-to-interference-plus-noise ratio (SINR) based on the convex optimization method. Due to the limited cooperation between SBS and PUs, the channel state information (CSI) usually cannot be obtained perfectly at the SBS in cognitive system. In this study, both perfect and imperfect CSI scenarios are considered in the beamformer design, and the proposed method is robust to CSI error. Numerical results validate the effectiveness of the proposed algorithm.
Keywords
cognitive radio; multiple input multiple output; transceiver beamforming; convex optimization; robust;
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