Abstract
In recent years, due to the ever-increasing traffic demands and the limited spectrum resources, it is very likely that several cognitive radio ad hoc networks (CRAHNs) will coexist and opportunistically use the same primary user (PU) resources. In such scenarios, the ability to distinguish whether a licensed channel is occupied by a PU or by another CRAHN can significantly improve the spectrum efficiency of the network, while the contention among the CRAHNs already operating on the licensed channels with no PU activity, may further affect the performance of the network. Therefore, the proper selection of the frequency bands, already being used by other CRAHNs, could result in notable throughput and energy efficiency gains for the network under study. In this chapter, we propose a novel contention-aware channel selection algorithm, that: i) initially locates the spectrum holes by exploiting cooperative spectrum sensing, ii) categorizes the idle licensed channels based on their contention level (i.e., number of secondary users (SUs) belonging to other non-cooperating CRAHNs that are operating on the licensed channels), and iii) selects the less contended licensed channel to be accessed first by the CRAHN under study. The proposed algorithm is evaluated by means of simulations and it is shown that it can present gains up to 70% in throughput and up to 68% in energy efficiency.
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Mesodiakaki, A., Adelantado, F., Alonso, L., Verikoukis, C. (2014). An Energy-Efficient Contention-Aware Algorithm for Channel Selection in Cognitive Radio Networks. In: Resource Management in Mobile Computing Environments. Modeling and Optimization in Science and Technologies, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-06704-9_19
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DOI: https://doi.org/10.1007/978-3-319-06704-9_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06703-2
Online ISBN: 978-3-319-06704-9
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