TY - GEN
T1 - On local connectivity of cognitive radio ad hoc networks with directional antennas
AU - Wang, Yuanyuan
AU - Wang, Qiu
AU - Dai, Hong-Ning
AU - Wang, Haibo
AU - Zheng, Zibin
AU - Li, Jianqing
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1
Y1 - 2017/1
N2 - In conventional cognitive radio ad hoc networks, both primary users (PUs) and secondary users (SUs) are typically equipped with omni-directional antennas, which can cause high interference. As a result, SUs usually suffer from the poor network connectivity due to the high interference caused by PUs. Different from omni-directional antennas, directional antennas can concentrate the transmission on some desired directions and reduce interference on other undesired directions. In this paper, we investigate the network connectivity of a novel cognitive radio ad hoc network with directional antennas (DIR-CRAHNs), in which both PUs and SUs are equipped with directional antennas. We derive the local connectivity (i.e., probability of node isolation) of such DIR-CRAHNs in closed form and numerical results show that the proposed DIR-CRAHNs have higher local connectivity than conventional cognitive radio ad hoc networks.
AB - In conventional cognitive radio ad hoc networks, both primary users (PUs) and secondary users (SUs) are typically equipped with omni-directional antennas, which can cause high interference. As a result, SUs usually suffer from the poor network connectivity due to the high interference caused by PUs. Different from omni-directional antennas, directional antennas can concentrate the transmission on some desired directions and reduce interference on other undesired directions. In this paper, we investigate the network connectivity of a novel cognitive radio ad hoc network with directional antennas (DIR-CRAHNs), in which both PUs and SUs are equipped with directional antennas. We derive the local connectivity (i.e., probability of node isolation) of such DIR-CRAHNs in closed form and numerical results show that the proposed DIR-CRAHNs have higher local connectivity than conventional cognitive radio ad hoc networks.
UR - http://www.scopus.com/inward/record.url?scp=85013864657&partnerID=8YFLogxK
U2 - 10.1109/ICCS.2016.7833577
DO - 10.1109/ICCS.2016.7833577
M3 - Conference proceeding
AN - SCOPUS:85013864657
SN - 9781509034246
T3 - Proceedings of IEEE International Conference on Communication Systems
BT - Proceedings of IEEE International Conference on Communication Systems, ICCS 2016
PB - IEEE
T2 - 2016 IEEE International Conference on Communication Systems, ICCS 2016
Y2 - 14 December 2016 through 16 December 2016
ER -