Numerical Optimization Based Efficient Beam Switching for 60GHz Millimeter-wave Communications

Bin Li*, Zheng Zhou, Haijun Zhang, A. Nallanathan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

Beam-forming training (or beam-steering) in the 60GHz millimeter-wave system is formulated as a numerical optimization problem. Although numerical search is of special promise to this problem, as the objective function (i.e, the signal-to-noise ratio) involves many local optimums, search failures cannot be avoided due to the greedy essence of classical Rosenbrock method. In order to address the great challenge, we develop an appealing direct numerical algorithm inspired by a probabilistic search mechanic. In contrast to classical schemes, numerical probes leading to reward improvement are always accepted, while search moves towards worse solution are permitted with a probability that is associated with an external temperature parameter. In order to enhance search performance of discrete space and exclude the exhaustive search-based neighbor exploitation, we further design a promising two-level annealing schedule. With the new probabilistic framework, the permission of movements to worse solutions is progressively restricted, which is controlled by two iterative parameters respectively corresponding to pattern probe and pattern move processes. Consequently, it may basically escape from local optimums. We then apply the new numerical search to 60GHz beam-switching. Experimental simulations validate this developed beam-switching scheme.

Original languageEnglish
Title of host publication2013 2nd IEEE/CIC International Conference on Communications in China (ICCC)
Subtitle of host publicationWireless Communication Systems (WCS)
Place of PublicationNEW YORK
PublisherIEEE
Number of pages6
ISBN (Print)9781467328159
Publication statusPublished - 2013

Keywords

  • NETWORKS

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