TY - JOUR
T1 - L-CAQ
T2 - Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
AU - Rahman, Md Arafatur
AU - Asyhari, A. Taufiq
AU - Bhuiyan, Md Zakirul Alam
AU - Salih, Qusay Medhat
AU - Zamli, Kamal Zuhairi Bin
N1 - Funding Information:
The work of M. A. Rahman and K. Z. B. Zamli was supported in part by the University Malaysia Pahang (UMP) –RDU grant titled by “Palm Oil Supply Chain Traceability: Exploiting TV White Space”. The work of A. T. Asyhari was supported in part by the UK Engineering and Physical Sciences Research Council (EPSRC) Global Challenge Research Fund–Cranfield Institutional Allocation under the project “RHENIUM: Reliable Heterogeneous IoT Networks for Indonesia Natural Disasters' Monitoring and Recovery Systems”.
Funding Information:
A. Taufiq Asyhari received the Ph.D. degree in Information Engineering from the University of Cambridge, U.K., in 2012. He has been a Lecturer in Networks and Communications with Cranfield University, U.K., since February 2017, where he is currently with the Centre for EW, Information and Cyber. He previously held positions at the University of Bradford, National Chiao Tung University, and Bell Laboratories, Stuttgart, Germany. He also held visiting appointments at the University of Stuttgart–Institute of Telecommunications and the NCTU Information Theory Laboratory. His research interests are in the area of information theory, communication and coding theory, and signal processing techniques with applications to wireless and nano-molecular networks. Dr. Asyhari is a Fellow with the Higher Education Academy, U.K. He received the Best Paper Award at the 11th IEEE–ISWCS in 2014, the Starting Grant from the National Science Council of Taiwan in 2013, and funding from the Cambridge Trust (Yousef Jameel Scholarship) in 2008–2011.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Channel availability probability (CAP) and channel quality (CQ) are two key metrics that can be used to efficiently design a channel selection strategy in cognitive radio networks. For static scenarios, i.e., where all the users are immobile, the CAP metric depends only on the primary users' activity whereas the CQ metric remains relatively constant. In contrast, for mobile scenarios, the values of both metrics fluctuate not only with time (time-variant) but also over different links between users (link-variant) due to the dynamic variation of primary- and secondary-users' relative positions. As an attempt to address this dynamic fluctuation, this paper proposes L-CAQ: a link-oriented channel-availability and channel-quality based channel selection strategy that aims to maximize the link throughput. The L-CAQ scheme considers accurate estimation of the aforementioned two channel selection metrics, which are governed by the mobility-induced non-stationary network topology, and endeavors to select a channel that jointly maximizes the CAP and CQ. The benefits of the proposed scheme are demonstrated through numerical simulation for mobile cognitive radio networks.
AB - Channel availability probability (CAP) and channel quality (CQ) are two key metrics that can be used to efficiently design a channel selection strategy in cognitive radio networks. For static scenarios, i.e., where all the users are immobile, the CAP metric depends only on the primary users' activity whereas the CQ metric remains relatively constant. In contrast, for mobile scenarios, the values of both metrics fluctuate not only with time (time-variant) but also over different links between users (link-variant) due to the dynamic variation of primary- and secondary-users' relative positions. As an attempt to address this dynamic fluctuation, this paper proposes L-CAQ: a link-oriented channel-availability and channel-quality based channel selection strategy that aims to maximize the link throughput. The L-CAQ scheme considers accurate estimation of the aforementioned two channel selection metrics, which are governed by the mobility-induced non-stationary network topology, and endeavors to select a channel that jointly maximizes the CAP and CQ. The benefits of the proposed scheme are demonstrated through numerical simulation for mobile cognitive radio networks.
KW - Channel availability
KW - Channel quality
KW - Channel selection
KW - Cognitive radio
KW - Mobile networks
KW - Mobility
UR - http://www.scopus.com/inward/record.url?scp=85045048962&partnerID=8YFLogxK
U2 - 10.1016/j.jnca.2018.03.022
DO - 10.1016/j.jnca.2018.03.022
M3 - Article
AN - SCOPUS:85045048962
SN - 1084-8045
VL - 113
SP - 26
EP - 35
JO - Journal of Network and Computer Applications
JF - Journal of Network and Computer Applications
ER -