DocumentCode :
3050777
Title :
User scheduling schemes based on limited feedback in cognitive radio networking
Author :
Changmei Liu ; Xuehong Lin ; Jiaru Lin
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun, Beijing, China
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
139
Lastpage :
142
Abstract :
In this paper, a joint user scheduling and beamforming method based on limited feedback is studied for a cognitive radio (CR) multi-user multi-input multi-output (MU-MIMO) network, where a large number of secondary users (SUs) coexist with a primary user (PU). In the proposed approach, secondary users feed precoding vector indices (PVIs) and signal to interference plus noise ratio (SINR) related channel quality information (CQIs) back to the secondary base station (SBS), and then SBS chooses appropriate SUs according to the knowledge about the link information from itself to the primary user and the quality of service (QoS) requirement of the PU. Simulation results show that the proposed algorithm can achieve good performance in a robust manner.
Keywords :
MIMO communication; array signal processing; cognitive radio; feedback; network coding; precoding; quality of service; radiofrequency interference; scheduling; CQI; CR-MU-MIMO network; PU; QoS; SBS; SINR; SU; cognitive radio networking; joint user scheduling-beamforming method; limited feedback; multiuser multiinput multioutput network; precoding vector indices; primary user; quality of service; secondary base station; secondary users; signal-to-interference plus noise ratio; user scheduling schemes; Array signal processing; Cognitive radio; Interference; Joints; Scattering; Scheduling; Vectors; Beamforming; CR MU-MIMO; Limited feedback; User scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2201-0
Type :
conf
DOI :
10.1109/ICNIDC.2012.6418730
Filename :
6418730
Link To Document :
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