DocumentCode :
1965360
Title :
Robust utility scheme with admission control over MIMO cognitive radio network
Author :
Huiqin Du ; Ratnarajah, Tharm
Author_Institution :
Sch. of Eng., Univ. of Edinburgh, Edinburgh, UK
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
332
Lastpage :
336
Abstract :
Multiple-input multiple-output (MIMO) cognitive radio network is considered in this paper, in which single primary user (PU) coexists with multiple secondary users (SUs). Standard cognitive radio techniques require perfect channel state information (CSI) and are sensitive to the errors in channel estimation. Under the assumption of the norm-bounded channel imperfections, we develop a robust energy-aware design which admits the maximum number of the served SUs and enhances the transmit rate of the secondary links by using the least transmit power while maintaining the quality-of-service (QoS) constraint of the PU and the SUs. Instead of using deterministic target, the signal-to-interference-and-noise ratio (SINR) threshold becomes one of on-going optimization variables, and acts as the admission control implicitly. Due to its non-convexity and NP-hardness, the underlying problem is reformulated in semidefinite programming (SDP) form and solved via iterative bisection search approach. Simulation results are provided to validate the robustness and efficiency of the proposed scheme.
Keywords :
MIMO communication; channel estimation; cognitive radio; computational complexity; mathematical programming; quality of service; radio networks; telecommunication control; CSI; MIMO cognitive radio network; NP-hardness; QoS constraint; SDP; SINR threshold; admission control; channel estimation; iterative bisection search; multiple secondary users; multiple-input multiple-output network; norm-bounded channel imperfections; perfect channel state information; quality-of-service constraint; robust energy-aware design; robust utility scheme; semidefinite programming; signal-to-interference-and-noise ratio; single primary user; Admission control; Array signal processing; Cognitive radio; Interference; Optimization; Robustness; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Workshops (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/ICCW.2013.6649254
Filename :
6649254
Link To Document :
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