Cognitive Radio Oriented Wireless Networks: 10th by Mark Weichold, Mounir Hamdi, Muhammad Zeeshan Shakir,

By Mark Weichold, Mounir Hamdi, Muhammad Zeeshan Shakir, Mohamed Abdallah, George K. Karagiannidis, Muhammad Ismail

This ebook constitutes the completely refereed post-conference complaints of the tenth overseas convention on Cognitive Radio orientated instant Networks, CROWNCOM 2015, held in Doha, Qatar, in April 2015.

The sixty six revised complete papers offered have been rigorously reviewed and chosen from one hundred ten submissions and canopy the evolution of cognitive radio know-how touching on 5G networks. The papers are clustered to subject matters on dynamic spectrum access/management, networking protocols for CR, modeling and concept, HW structure and implementations, subsequent iteration of cognitive networks, criteria and company types, and rising purposes for cognitive networks.

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Extra resources for Cognitive Radio Oriented Wireless Networks: 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21-23, 2015, Revised Selected Papers

Sample text

To enhance the prediction of the PU channel state, the authors in [10] proposed a feedback model, where the SU leverages the overheard primary ARQ message and uses information gleaned from the PU feedback channel to improve its sensing. It was shown, analytically, and using simulations that such side information can potentially increase the effective capacity of the SU. In essence, the scheme in [10] minimizes the probability of PU re-transmission failure. However, this does not automatically guarantee the PU’s ability to satisfy delay constraints.

Cambridge University Press (2004) 18. : A unified framework for the ergodic capacity of spectrum sharing cognitive radio systems. edu 3 Department of EECE, Faculty of Engineering, Cairo University, Giza, Egypt 4 Department of Communications, The Military Technical College, Cairo, Egypt Abstract. In this paper, we study the fundamental trade-off between delay-constrained primary and secondary users in cognitive radio networks. In particular, we characterize and optimize the trade-off between the secondary user (SU) effective capacity and the primary user (PU) average packet delay.

In the first problem, we use the spectrum sensing energy detection threshold as the optimization variable. In the second problem, we extend the problem and optimize also over the transmission powers of the SU. Interestingly, these complex non-linear problems are proven to be quasi-convex and, hence, can be solved efficiently using standard optimization tools. The numerical results reveal interesting insights about the optimal performance compared to the unconstrained PU delay baseline system. Keywords: Cognitive radios · Effective capacity Optimization · Quality of service (QoS) 1 · Delay constraints · Introduction The rapid evolution and ubiquity of wireless connectivity, as well as the wide proliferation of smartphones and powerful hand-held devices, mandate the handling of a huge amount of data in applications such as wireless multimedia.

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