Bio-Inspired Computation in Telecommunications by Xin-She Yang

By Xin-She Yang

Bio-inspired computation, specifically these in line with swarm intelligence, has turn into more and more well known within the final decade. Bio-Inspired Computation in Telecommunications reviews the newest advancements in bio-inspired computation from either conception and alertness as they relate to telecommunications and photo processing, delivering a whole source that analyzes and discusses the newest and destiny tendencies in learn instructions. Written by way of well-known specialists, it is a must-have consultant for researchers, telecommunication engineers, laptop scientists and PhD students.

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Some issues introduced by Kampstra et al. (2006) still remain open. , 2013). Similarly, in optical communications, key issues are the reliability issues addressed by Balazs et al. (2013), the routing and wavelength assignment problem by Rubio-Largo et al. (2012), and the traffic grooming by Rubio-Largo et al. (2013). 3 GREEN COMMUNICATIONS OFDMA wireless networks provide ubiquitous access in wide coverage with a connection speed of up to 1 Gbps, providing the required QoS to network users. OFDMA networks are packet-based and employ IP to transport various types of traffic such as voice, video, and data.

1–5. , 2010. Cellular mobile network densification utilizing micro base stations. In: 2010 IEEE International Conference on Communications (ICC), pp. 1–6. , 2009. Traffic demand and energy efficiency in heterogeneous cellular mobile radio networks. In: 2010 IEEE 71st Vehicular Technology Conference (VTC 2010-Spring), pp. 1–6. , 1994. Genetic algorithm and neural network approaches to local access network design. In: Proceedings of the 2nd International Symposium on Modelling, Analysis & Simulation of Computer & Telecommunication Systems (MASCOTS’94), Durham, NC, USA, pp.

7) m¼1 xm, n 2 f0, 1g, pm, n ! 6) bounds the radiated power from BS not to be larger than the total transmission power PT. 8) follow the principal law of OFDMA, enabling only one user on a subcarrier to avoid cochannel interference. , 2013) in a small-scale OFDMA system. To search for the power allocation values, we utilize the GA and present a characteristic simulation result. This optimization process by GA is quite efficient in a manner that only a few iterations are required to bring the solution close to the optimal value.

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