Spectrum decision for cognitive radio networks with various-bandwidth channels

Cognitive radio (CR) systems can enhance the licensed spectrum efficiency by finding and allocating the underutilized channels of the primary users to the secondary users. After scanning a wide range of spectrum. A general CR system needs to utilize all the available channels of various bandwidths. Whenever the active primary users appear, the secondary users shall return the borrowed channels, causing interruption even during a transmission period. The behavior of changing the operating channels is called hopping mode in this paper. In this paper we propose an improved preemptive resume priority (PRP) M/G/1 queueing network model for such a general CR system, aiming to characterize the impacts of hopping-mode behaviors and various bandwidth on the delay performance of the secondary users. We further propose a probability-based various-bandwidth channel selection scheme to reduce the overall system time for the hopping-mode secondary users with multiple interruptions, where the overall system time is defined as the sum of transmission time and waiting time. Our analytical results, validated by simulations, show that the proposed probability-based various-bandwidth channel selection scheme can improve the overall system time by 20% compared to the existing methods.

[1]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[2]  Fumiyuki Adachi,et al.  Load-Balancing Spectrum Decision for Cognitive Radio Networks , 2011, IEEE Journal on Selected Areas in Communications.

[3]  Yunnan Wu,et al.  Allocating dynamic time-spectrum blocks in cognitive radio networks , 2007, MobiHoc '07.

[4]  Chung-Ju Chang,et al.  Modeling and Analysis for Spectrum Handoffs in Cognitive Radio Networks , 2012, IEEE Transactions on Mobile Computing.

[5]  Li-Chun Wang,et al.  A Concurrent Transmission MAC Protocol for Enhancing Throughout and Avoiding Spectrum Sensing in Cognitive Radio , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[6]  Li-Chun Wang,et al.  Spectrum Handoff for Cognitive Radio Networks: Reactive-Sensing or Proactive-Sensins? , 2008, 2008 IEEE International Performance, Computing and Communications Conference.

[7]  Mingyan Liu,et al.  To Stay or To Switch: Multiuser Multi-Channel Dynamic Access , 2015, IEEE Transactions on Mobile Computing.

[8]  Valentin Rakovic,et al.  Medium Access Control Protocols in Cognitive Radio Networks: Overview and General Classification , 2014, IEEE Communications Surveys & Tutorials.

[9]  Min Song,et al.  DSCA: Dynamic Spectrum Co-Access Between the Primary Users and the Secondary Users , 2015, IEEE Transactions on Vehicular Technology.

[10]  Jiang Xie,et al.  Broadcast Design in Cognitive Radio Ad Hoc Networks , 2014, SpringerBriefs in Electrical and Computer Engineering.

[11]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[12]  Li-Chun Wang,et al.  Delay-bandwidth product approach for unequal-width load balancing spectrum decisions in cognitive radio networks , 2015, Wirel. Networks.