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Joint Secondary User Transceiver Optimization and User/Antenna Selection for MIMO–OFDM Cognitive Radio Networks with CSI Uncertainty

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Abstract

A novel algorithm is proposed for joint minimum mean-squared error based optimal secondary user transceiver design and user/antenna selection for multiple input multiple-output orthogonal frequency division multiplexing cognitive radio networks. Closed form expressions are developed for the optimal transceiver considering the availability of both full as well as partial channel state information (CSI) of the primary user at the secondary users. Further, optimal transceiver design is also considered for a realistic scenario with CSI uncertainty. In this regard, a low complexity algorithm is presented for joint secondary user and antenna selection towards sum-MSE minimization in cognitive radio networks. Simulation results demonstrate the improved performance of the proposed transceiver design and user/antenna selection algorithm in terms of the MSE performance at the receiver.

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Authors and Affiliations

  1. Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Abhishek Agrahari, Pulkit Garg & Aditya K. Jagannatham

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  1. Abhishek Agrahari
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  2. Pulkit Garg
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  3. Aditya K. Jagannatham
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Correspondence to Abhishek Agrahari.

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Agrahari, A., Garg, P. & Jagannatham, A.K. Joint Secondary User Transceiver Optimization and User/Antenna Selection for MIMO–OFDM Cognitive Radio Networks with CSI Uncertainty. Wireless Pers Commun 90, 1743–1762 (2016). https://doi.org/10.1007/s11277-016-3422-6

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