A Dynamic Spectrum Access Approach in Energy-efficient Cognitive Wireless Networks

DOI

10.2991/fmsmt-17.2017.282How to use a DOI?

Keywords

Spectrum sharing, Dynamic spectrum access, Cognitive networking, Energy efficiency, Optimal model.

Abstract

Dynamic spectrum access can effectively improve network frequency resource utilization in current wireless networks. However, for energy-efficient cognitive wireless access networks, traditional dynamic spectrum access technologies face new challenges. This paper proposes a new dynamic spectrum access approach to improve both frequency resource utilization and network energy efficiency. We model this problem as an optimal model. In such a case, network frequency resource sharing and energy efficiency are combined into the optimal process to solve our model. Based on theory analysis, we propose our dynamic spectrum access algorithm to build highly energy-efficient cognitive wireless networks. Finally, we conduct a large amount of tests to validate our approach. Simulation results show that the proposed approach is effective and feasible.

Copyright

© 2017, 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  - Weisong He
PY  - 2017/04
DA  - 2017/04
TI  - A Dynamic Spectrum Access Approach in Energy-efficient Cognitive Wireless Networks
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1447
EP  - 1453
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.282
DO  - 10.2991/fmsmt-17.2017.282
ID  - He2017/04
ER  -