Bio-Inspired Computation in Telecommunications by Xin-She Yang

By Xin-She Yang

Bio-inspired computation, specially 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 most recent advancements in bio-inspired computation from either thought and alertness as they relate to telecommunications and snapshot processing, offering an entire source that analyzes and discusses the most recent and destiny developments in study instructions. Written by way of famous specialists, this can be a must-have consultant for researchers, telecommunication engineers, laptop scientists and PhD students.

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Therefore, there is a strong need to shift to green communications. 1 ENERGY CONSUMPTION IN WIRELESS COMMUNICATIONS According to the well-known Gartner report (Gartner, 2007), the information communication technology (ICT) market contributes 2% of global greenhouse gas (CO2) emissions. A typical mobile phone network in the United Kingdom consumes about 40-50 MW. A service provider such as Vodafone uses more than 1 million gallons of diesel per day to power up its networks. This implies that wireless communications can create a significant proportion of the total energy consumption by the ICT infrastructure.

A genetic algorithm approach for solving the routing and wavelength assignment problem in WDM networks. In: International Conference in Networks, ICN’04, Pointe-a`-Pitre, Guadeloupe. , 2005. A hybrid genetic algorithm for the weight setting problem in OSPF/IS-IS routing. Networks 46 (1), 36–56. , 1997. Parallel island-based genetic algorithm for radio network design. J. Parallel Distrib. Comput. 47 (1), 86–90. , 1995. Applications of genetic algorithms in telecommunications. In: Proceedings of the 2nd International Workshop on Applications of Neural Networks to Telecommunications (IWANNT’95), Stockholm, Sweden, pp.

1 MATHEMATICAL FORMULATION The QoS in the system guarantees the minimum required transmission rate for each subscriber. This formulation involves one BS and M users that share N subcarriers, each one of bandwidth B. The basic assumptions are given in Ting et al. (2013), Chien et al. (2013), and Zarakovitis and Ni (2013), which include 35 36 CHAPTER 2 Bio-Inspired Approaches in Telecommunications the frequency-selective Rayleigh fading with a perfect-channel state information and flat-channel shading.

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