TY - GEN
T1 - Joint rate, channel and route selection for cognitive radio ad hoc networks
AU - Ji, Lijuan
AU - Tang, Feilong
AU - Yang, Yanqin
AU - Guo, Minyi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/17
Y1 - 2015/6/17
N2 - It is a difficult but fundamental goal to fully utilize various resources to deliver data as efficiently as possible in wireless networks. In CRAHNs, it becomes more challenging due to uncertain primary users' activities, time- and location-varying channels, and arbitrary traffic arrivals with unpredictable rate demand. In this paper, we propose a Joint Rate, Channel and Route Selection (JRCRS) approach to optimize the network resource utility in multi-hop, multi-channel CRAHNs, with the objective of maximizing social welfare. Our JRCRS jointly optimizes the data transmission rate adaptive to network condition, assigns interference-free channels and selects a route when a new flow arrives or a primary user activates. The routing metric in our JRCRS considers the relay workload, the distance between the relay and the destination node, and co-channel interference to primary and secondary users. Simulation results demonstrate that our JRCRS outperforms the most related solutions in terms of social welfare, average throughput, network stability and end-to-end delay.
AB - It is a difficult but fundamental goal to fully utilize various resources to deliver data as efficiently as possible in wireless networks. In CRAHNs, it becomes more challenging due to uncertain primary users' activities, time- and location-varying channels, and arbitrary traffic arrivals with unpredictable rate demand. In this paper, we propose a Joint Rate, Channel and Route Selection (JRCRS) approach to optimize the network resource utility in multi-hop, multi-channel CRAHNs, with the objective of maximizing social welfare. Our JRCRS jointly optimizes the data transmission rate adaptive to network condition, assigns interference-free channels and selects a route when a new flow arrives or a primary user activates. The routing metric in our JRCRS considers the relay workload, the distance between the relay and the destination node, and co-channel interference to primary and secondary users. Simulation results demonstrate that our JRCRS outperforms the most related solutions in terms of social welfare, average throughput, network stability and end-to-end delay.
UR - https://www.scopus.com/pages/publications/84938681247
U2 - 10.1109/WCNC.2015.7127599
DO - 10.1109/WCNC.2015.7127599
M3 - 会议稿件
AN - SCOPUS:84938681247
T3 - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
SP - 960
EP - 965
BT - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
Y2 - 9 March 2015 through 12 March 2015
ER -