Optimization Algorithms for Big Data with Application in Wireless Networks

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2016-03-01
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Liao, Wei-Cheng
Sun, Ruoyu
Luo, Zhi-Quan
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Hong, Mingyi
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Industrial and Manufacturing Systems Engineering
The Department of Industrial and Manufacturing Systems Engineering teaches the design, analysis, and improvement of the systems and processes in manufacturing, consulting, and service industries by application of the principles of engineering. The Department of General Engineering was formed in 1929. In 1956 its name changed to Department of Industrial Engineering. In 1989 its name changed to the Department of Industrial and Manufacturing Systems Engineering.
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This chapter proposes the use of modern first-order large-scale optimization techniques to manage a cloud-based densely deployed next-generation wireless network. In the first part of the chapter we survey a few popular first-order methods for large-scale optimization, including the block coordinate descent (BCD) method, the block successive upper-bound minimization (BSUM) method and the alternating direction method of multipliers (ADMM). In the second part of the chapter, we show that many difficult problems in managing large wireless networks can be solved efficiently and in a parallel manner, by modern first-order optimization methods. Extensive numerical results are provided to demonstrate the benefit of the proposed approach.

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This book chapter published as Mingyi Hong, Wei-Cheng Liao, Ruoyu Sun and Zhi-Quan Luo "Optimization Algorithms for Big Data with Application in Wireless Networks," in Big Data over Networks, ed. Shuguang Cui, Alfred O. Hero III, Zhi-quan Luo, and Jose M. F. Moura (Cambridge: Cambridge University Press, 2016), pp. 66-100. Posted with permission.

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Fri Jan 01 00:00:00 UTC 2016
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