TY - GEN
T1 - Delay analysis for cognitive radio networks with random access
T2 - IEEE INFOCOM 2010
AU - Wang, Shanshan
AU - Zhang, Junshan
AU - Tong, Lang
PY - 2010
Y1 - 2010
N2 - We consider a cognitive radio network where multiple secondary users (SUs) contend for spectrum usage, using random access, over available primary user (PU) channels. Our focus is on SUs' queueing delay performance, for which a systematic understanding is lacking. We take a fluid queue approximation approach to study the steady-state delay performance of SUs, for cases with a single PU channel and multiple PU channels. Using stochastic fluid models, we represent the queue dynamics as Poisson driven stochastic differential equations, and characterize the moments of the SUs' queue lengths accordingly. Since in practical systems, a secondary user would have no knowledge of other users' activities, its contention probability has to be set based on local information. With this observation, we develop adaptive algorithms to find the optimal contention probability that minimizes the mean queue lengths. Moreover, we study the impact of multiple channels and multiple interfaces, on SUs' delay performance. As expected, the use of multiple channels and/or multiple interfaces leads to significant delay reduction.
AB - We consider a cognitive radio network where multiple secondary users (SUs) contend for spectrum usage, using random access, over available primary user (PU) channels. Our focus is on SUs' queueing delay performance, for which a systematic understanding is lacking. We take a fluid queue approximation approach to study the steady-state delay performance of SUs, for cases with a single PU channel and multiple PU channels. Using stochastic fluid models, we represent the queue dynamics as Poisson driven stochastic differential equations, and characterize the moments of the SUs' queue lengths accordingly. Since in practical systems, a secondary user would have no knowledge of other users' activities, its contention probability has to be set based on local information. With this observation, we develop adaptive algorithms to find the optimal contention probability that minimizes the mean queue lengths. Moreover, we study the impact of multiple channels and multiple interfaces, on SUs' delay performance. As expected, the use of multiple channels and/or multiple interfaces leads to significant delay reduction.
UR - http://www.scopus.com/inward/record.url?scp=77953308704&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953308704&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2010.5461943
DO - 10.1109/INFCOM.2010.5461943
M3 - Conference contribution
AN - SCOPUS:77953308704
SN - 9781424458363
T3 - Proceedings - IEEE INFOCOM
BT - 2010 Proceedings IEEE INFOCOM
Y2 - 14 March 2010 through 19 March 2010
ER -