Robust Transceiver Design in Full-Duplex MIMO Cognitive Radios


A. C. Cirik, S. Biswas, O. Taghizadeh, A. Liu, T. Ratnarajah,


        We study a full duplex (FD) multiple-input multiple-output (MIMO) cognitive cellular network, in which a secondary base-station (BS) operating in FD mode serves multiple uplink (UL) and downlink (DL) secondary users (SUs) operating in half-duplex (HD) mode simultaneously. The spectrum is shared between secondary and primary networks, and thus uplink SUs and secondary BS generate interference on primary users (PUs). We assume that the channel state information (CSI) available at the transmitters is imperfect, and the errors of the CSI are assumed to be norm bounded. Under the impact of channel uncertainty, we address the robust minimization of the sum of mean-squared-errors (MSE) of all estimated symbols subject to power constraints at the uplink SUs and secondary BS, and interference constraints projected to each PU. We show that this problem can be cast as a Semidefinite programming (SDP), and joint design of transceiver matrices can be obtained through an iterative algorithm. Numerical results are presented to show the effectiveness and robustness of the proposed robust algorithm.


Cognitive radio, full-duplex, imperfect CSI, MIMO, MSE, multi-user, self-interference, transceiver designs

BibTEX Reference Entry 

	author = {Ali Cagatay Cirik and Sudip Biswas and Omid Taghizadeh and An Liu and Tharmalingam Ratnarajah},
	title = "Robust Transceiver Design in Full-Duplex {MIMO} Cognitive Radios",
	pages = "7",
	booktitle = "{IEEE} {ICC} 2016 - Cognitive Radio and Networks Symposium ({ICC}'16 CRN)",
	address = {Kuala Lumpur, Malaysia},
	doi = 10.1109/icc.2016.7511209,
	month = May,
	year = 2016,
	hsb = RWTH-2016-05780,


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