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Performance analysis of dynamic spectrum handoff scheme with variable bandwidth demand of secondary users for cognitive radio networks

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Abstract

Cognitive radio (CR) has attracted considerable attention as a promising technology for solving the current inefficient use of spectrum. In CR networks, available sub-channels are dynamically assigned to secondary users (SUs). However, when a primary user accesses a primary channel consisting of multiple sub-channels, data transmissions of the SUs already using the sub-channels may be terminated. In this paper, we analyze the performance of dynamic spectrum handoff scheme with channel bonding, in which the number of sub-channels used by an SU are variable. We model the multichannel CR network as a multiserver priority queueing system without waiting facility, deriving the blocking probability, the forced termination probability and the throughput for SUs. In terms of the way of forced termination, we consider two policies; one is that SUs using the largest number of sub-channels are forced to terminate their transmissions, and the other is that SUs using the smallest number of sub-channels are chosen for termination. The analysis is also validated by simulation. Numerical examples show that in both forced-termination policies, the throughput of SUs that are forced to terminate their transmissions degrades as the offered load to the system increases.

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Notes

  1. The processes of spectrum occupation in [7, 8] and this paper are analyzed by continuous-time Markov chains. However, there are no specific descriptions of the calculation method for stationary probabilities in [7, 8]. In this paper, stationary probabilities are computed by a matrix analytic method [9] due to the block-tridiagonal structure of \(\user2{Q},\) which is resulting from the analytical model in the paper.

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Correspondence to Shoji Kasahara.

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Konishi, Y., Masuyama, H., Kasahara, S. et al. Performance analysis of dynamic spectrum handoff scheme with variable bandwidth demand of secondary users for cognitive radio networks. Wireless Netw 19, 607–617 (2013). https://doi.org/10.1007/s11276-012-0488-2

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