Abstract
With the development of IP (Internet Protocol) based next generation of wireless communication, wireless capacity in the physical layer faces unprecedented challenges. Thanks to the coordinated multi-point (CoMP) networks, the performance of wireless transmission can be largely enhanced. To sufficiently explore the performance of CoMP, two key issues of resource allocation, user scheduling and power allocation, should be appropriately determined. In this chapter, we first introduce the heuristic schemes of resource allocation in CoMP based on the Nash non-cooperative game to improve the wireless capacity. Then, we further propose a novel PFM mechanism (power-fractionizing mechanism) to transform the optimization problem of resource allocation of CoMP into a SP (signomial programming) optimization model. Based on GP (geometric programming) approximation, we obtain the local optimization solution of resource allocation in CoMP, empirically, the local optimization solution is also the global optimization solution. By simulation, we verify the effectiveness of our algorithms. In this chapter, we employ Nash non-cooperative game, geometric programming and convex optimization, etc., to improve the performance of the next generation of wireless cooperative networks. All the algorithms fit for the existing framework of network. Moreover, all the algorithms we proposed in this chapter can be also used for other wireless networks for achieving better interference management and energy efficiency.
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Fu, S., Wu, J. (2019). Green IT Engineering: Green Wireless Cooperative Networks. In: Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds) Green IT Engineering: Social, Business and Industrial Applications. Studies in Systems, Decision and Control, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-030-00253-4_3
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DOI: https://doi.org/10.1007/978-3-030-00253-4_3
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