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• W2914644003 abstract "The two major challenges for future wireless networks are the ever-growing data traffic and the increasing energy consumption. This chapter discusses the fractional programs and the methods that can be used to solve these, including Dinkelbach's methods, parameter-free equivalent transformation, and successive convex approximation. The alternating direction method of multipliers (ADMM) is introduced as a powerful approach for parallel optimization algorithms. The chapter illustrates the applications of these tools in two specific scenarios of dense networks. It presents a case study in which optimization tools are applied to optimize the energy efficiency of a dense network where multiple radio access technologies (RATs) coexist. In an ultra-dense network, it is reasonable to assume that there are many geographic areas covered by multiple radio access networks (RANs). The chapter investigates resource allocation in a multi-RAT scenario where users can simultaneously receive data from multiple RANs using multiple air interface." @default.
• W2914644003 created "2019-02-21" @default.
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• W2914644003 date "2019-02-01" @default.
• W2914644003 modified "2023-10-12" @default.
• W2914644003 title "Energy Efficiency Optimization for Dense Networks" @default.
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• W2914644003 doi "https://doi.org/10.1002/9781119473756.ch8" @default.
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