TY - GEN
T1 - A novel coupled queueing model to control traffic via QoS-aware collision pricing in cognitive radio networks
AU - Joo, Changhee
AU - Shroff, Ness B.
N1 - Funding Information:
This work has been supported in part by the following grants from the National Science Foundation: CNS-1421576, and CNS 1409336, as well Army Research Office Grant W911NF-14-1-0368, and Office of Naval Research Grant N00014-15-1-2166. Also, in part by IITP grant funded by the Korea government (MSIP) (No. B0126-16-1064, Research on Near-Zero Latency Network for 5G Immersive Service), and by the research funding from UNIST (No. 1.160085.01).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - We consider a cognitive radio network, where primary users have priority over the spectrum resources, and secondary users can exploit the unused resources through channel sensing. Due to sensing inaccuracy, the secondary traffic may obstruct the primary traffic. A penalty for collision has been used to protect the primary traffic, which is often designed to provide a fixed per-collision compensation or to restrict the collision rate at an acceptable level. In this work, we develop a framework that can protect the primary traffic taking into account the Quality of Service of the primary traffic. In particular, we pay attention to the delay performance, which is determined not only by the collision rate but also by the amount of traffic in both networks. We design a novel model with coupled queues, and successfully incorporate dynamic interactions between the two systems through the standard optimization problem. We also consider the practical requirement of no direct sharing of the system information between the two networks, and develop a close-to-optimal solution of per-collision price and channel sensing under mild assumptions. We evaluate its performance through simulations.
AB - We consider a cognitive radio network, where primary users have priority over the spectrum resources, and secondary users can exploit the unused resources through channel sensing. Due to sensing inaccuracy, the secondary traffic may obstruct the primary traffic. A penalty for collision has been used to protect the primary traffic, which is often designed to provide a fixed per-collision compensation or to restrict the collision rate at an acceptable level. In this work, we develop a framework that can protect the primary traffic taking into account the Quality of Service of the primary traffic. In particular, we pay attention to the delay performance, which is determined not only by the collision rate but also by the amount of traffic in both networks. We design a novel model with coupled queues, and successfully incorporate dynamic interactions between the two systems through the standard optimization problem. We also consider the practical requirement of no direct sharing of the system information between the two networks, and develop a close-to-optimal solution of per-collision price and channel sensing under mild assumptions. We evaluate its performance through simulations.
UR - http://www.scopus.com/inward/record.url?scp=85034082014&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2017.8057054
DO - 10.1109/INFOCOM.2017.8057054
M3 - Conference contribution
AN - SCOPUS:85034082014
T3 - Proceedings - IEEE INFOCOM
BT - INFOCOM 2017 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Conference on Computer Communications, INFOCOM 2017
Y2 - 1 May 2017 through 4 May 2017
ER -