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Computationally Intelligent Techniques for Resource Management in mmWave Small Cell Networks

Munir, Hamnah, Pervaiz, Haris bin, Hassan, Syed Ali, Musavian, Leila, Ni, Qiang, Imran, Muhammad Ali and Tafazolli, Rahim (2018) Computationally Intelligent Techniques for Resource Management in mmWave Small Cell Networks IEEE Wireless Communications, 25 (4). pp. 32-39.

Computationally Intelligent Techniques for Resource Management in mmWave Small Cell Networks.pdf - Accepted version Manuscript

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Ultra densification in heterogeneous networks (HetNets) and the advent of millimeter wave (mmWave) technology for fifth generation (5G) networks have led the researchers to redesign the existing resource management techniques. A salient feature of this activity is to accentuate the importance of computationally intelligent (CI) resource allocation schemes offering less complexity and overhead. This paper overviews the existing literature on resource management in mmWave-based HetNets with a special emphasis on CI techniques and further proposes frameworks that ensure quality-of-service requirements for all network entities. More specifically, HetNets with mmWavebased small cells pose different challenges as compared to an allmicrowave- based system. Similarly, various modes of small cell access policies and operations of base stations in dual mode, i.e., operating both mmWave and microwave links simultaneously, offer unique challenges to resource allocation. Furthermore, the use of multi-slope path loss models becomes inevitable for analysis owing to irregular cell patterns and blocking characteristics of mmWave communications. This paper amalgamates the unique challenges posed because of the aforementioned recent developments and proposes various CI-based techniques including game theory and optimization routines to perform efficient resource management.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Munir, Hamnah
Pervaiz, Haris
Hassan, Syed Ali
Musavian, Leila
Ni, Qiang
Imran, Muhammad
Date : 4 September 2018
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/MWC.2018.1700400
Copyright Disclaimer : © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Uncontrolled Keywords : Heterogeneous networks; Radio resource management; Millimeter wave; Nash equilibrium; Non-cooperative game; Lagrangian dual decomposition; Optimization
Depositing User : Clive Harris
Date Deposited : 16 Mar 2018 13:56
Last Modified : 11 Dec 2018 11:24

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