Optimal Channel Sensing Order for Various Applications in Cognitive Radio Networks

  • Authors:

  • Junyuan Huang;Huaibei Zhou;Yongqun Chen;Bo Chen;Xingyu Zhu;Ruoshan Kong

  • Affiliations:

  • School of physics and Technology, Wuhan University, Wuhan, China 430072;International school of software, Wuhan University, Wuhan, China 430072;School of physics and Technology, Wuhan University, Wuhan, China 430072;School of physics and Technology, Wuhan University, Wuhan, China 430072;School of physics and Technology, Wuhan University, Wuhan, China 430072;International school of software, Wuhan University, Wuhan, China 430072

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

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Abstract

In cognitive radio (CR) networks, the channel sensing order is crucial for the CR users to find an available channel as fast as possible. In this paper, besides the primary user activities, the statistics of Signal-to-Noise Ratio for each channel are explored using pilot signals. Based on the fluctuating nature of heterogeneous channels as well as the QoS requirements of various applications, two channel sensing order methods are proposed. For real-time applications, a minimum delay-based channel sensing order is proposed to find an idle channel which meets the sustainable rate constraint as fast as possible. For best-effort applications, a maximum capacity-based channel sensing order is proposed to maximize the transmission rates for the CR users, and two different stopping rules are considered. One is that a CR user should stop and transmit at the first free channel, while for the other one, a q-stage look-ahead stopping problem is considered. The simulation results show that the opportunity-discovery delay is reduced for real-time applications. For best-effort applications, the second stopping method is better than the first one when the time cost of the pilot signal is small.