Abstract
In an ad hoc cognitive radio network, energy management is of paramount importance, as it directly determines the lifetime of the cognitive radio as well as the interferences to the licensed users for which the regulatory obligations of cognitive radios must be fulfilled. When the transmission power is fixed, this boils down to the management of the cognitive radio operation time consisting of a dedicated sensing period and a transmission period. In this chapter, different energy saving techniques that use non-coherent sensing, decision-feedback sensing, or censored sensing to reduce the amount of total energy consumption incurred by sensing will be investigated. We will also look into energy optimization techniques that minimize the energy use by taking the physical layer sensing and upper layer throughput into account. Extensive analysis and simulation will be provided to obtain useful guidance on energy management in ad hoc cognitive radio networks.
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The author would like to thank Dr. Liang Tang for providing some of the materials used in this chapter.
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Chen, Y. (2016). Cognitive Radio Energy Saving and Optimization. In: Shakir, M.Z., Imran, M.A., A. Qaraqe, K., Alouini, MS., V. Vasilakos, A. (eds) Energy Management in Wireless Cellular and Ad-hoc Networks. Studies in Systems, Decision and Control, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-27568-0_12
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DOI: https://doi.org/10.1007/978-3-319-27568-0_12
Publisher Name: Springer, Cham
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