Optimization of SU's Revenue Based on Price Compensation for Collision

DOI

10.2991/cset-16.2016.8How to use a DOI?

Keywords

Cognitive radio, spectrum sharing, pricing framework, sensing time

Abstract

In the cognitive radio network, when the primary user doesn't use its licensed spectrum, the secondary user can access the spectrum hole opportunistically to share the spectrum. However, if the secondary user's behaviors cause collisions with the primary user in spectrum band, which may lead to a decline of primary user's QoS, the initiative of the primary user to participate in spectrum sharing will be seriously affected. The development and promotion of cognitive radio technology will be hindered once lack the primary user's support. In our scene, in order to reduce the impact of collisions with the primary user, before the secondary user access the spectrum, spectrum sensing must be used to make sure the primary user is not using it. However, most studies about the pricing framework are based on perfect sensing. But in practical network, the result of the spectrum sensing is likely to be wrong. And the probability of sensing errors is affected by the sensing time. In our algorithm, it is taken into account that once sensing errors happen and result in collisions, the secondary user should compensate for the primary user's losses. Therefore, in this paper, we discuss the selection of the sensing time in a cognitive cycle, aiming at optimizing the secondary user's revenue based on price compensation for collision. The signal is transmitted by a frame and a frame. So we divide the spectrum usage time into cognitive cycles, which greatly reduces the complexity of the algorithm. Eventually we calculate the optimal sensing time to make the secondary user's revenue maximized.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huan Huang
AU  - Xuxi Li
AU  - Xiuxiu Zhang
AU  - Jing Luo
AU  - Fengyang Zhang
AU  - Gang Xie
PY  - 2016/08
DA  - 2016/08
TI  - Optimization of SU's Revenue Based on Price Compensation for Collision
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 32
EP  - 36
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.8
DO  - 10.2991/cset-16.2016.8
ID  - Huang2016/08
ER  -