Robust Resource Allocation for Full-Duplex Cognitive Radio Systems

Sun Y, Ng DWK, Zlatanov N, Schober R (2016)

Publication Status: Published

Publication Type: Conference contribution

Publication year: 2016

Journal

2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)

Pages Range: 773-777

Abstract

In this paper, we investigate resource allocation algorithm design for full-duplex (FD) cognitive radio systems. The secondary network employs a FD base station for serving multiple half-duplex downlink and uplink users simultaneously. We study the resource allocation design for minimizing the maximum interference leakage to primary users while providing quality of service for secondary users. The imperfectness of the channel state information of the primary users is taken into account for robust resource allocation algorithm design. The algorithm design is formulated as a non-convex optimization problem and solved optimally by applying semidefinite programming (SDP) relaxation. Simulation results not only show the significant reduction in interference leakage compared to baseline schemes, but also confirm the robustness of the proposed algorithm.

Authors with CRIS profile

Yan Sun Lehrstuhl für Digitale Übertragung (IDC) Robert Schober Lehrstuhl für Digitale Übertragung (IDC)

Involved external institutions

University of New South Wales (UNSW) AU Australia (AU) Monash University AU Australia (AU)

How to cite

APA:

Sun, Y., Ng, D.W.K., Zlatanov, N., & Schober, R. (2016). Robust Resource Allocation for Full-Duplex Cognitive Radio Systems. (pp. 773-777).

MLA:

Sun, Yan, et al. "Robust Resource Allocation for Full-Duplex Cognitive Radio Systems." 2016. 773-777.

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