DocumentCode :
1478899
Title :
Socially Optimal Queuing Control in Cognitive Radio Networks Subject to Service Interruptions: To Queue or Not to Queue?
Author :
Li, Husheng ; Han, Zhu
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
Volume :
10
Issue :
5
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
1656
Lastpage :
1666
Abstract :
The main challenge to cognitive radio is the emergence of primary users, which can be considered as the service interruptions in a queuing system. The service interruption can incur significant delays for secondary users´ data packets which are considered as secondary customers. Therefore, a secondary customer needs to decide whether to join the queue or leave for other means of transmission. It is shown that the individually optimal strategy for joining the queue is characterized by a threshold of queue length. When the current queue length is above this threshold, the secondary customer should leave; otherwise it should join the queue. The socially optimal threshold of queue length is also obtained and is numerically shown to be smaller than the individually optimal one, which implies that the individually optimal strategy does not yield the socially optimal one. To bridge the gap between the individually and socially optimal strategies, a pricing mechanism is proposed to toll the service of each secondary customer, thus equalizing the two optimal strategies. When the channel statistics are unknown, an online learning procedure, based on the Kiefer-Wolfowitz algorithm, is proposed. The proposed algorithms are then demonstrated using numerical simulations.
Keywords :
cognitive radio; queueing theory; radio networks; telecommunication control; Kiefer-Wolfowitz algorithm; channel statistics; cognitive radio network; numerical simulation; online learning procedure; optimal strategy; optimal threshold; secondary customer; secondary user data packet; service interruption; social optimal queuing control; Cognitive radio; Delay; Numerical models; Pricing; Queueing analysis; Servers; Wireless networks; Cognitive radio; queuing control; service interruption;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2011.030411.101220
Filename :
5737889
Link To Document :
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