Allied Power Constraint Optimization and Optimal Beam Tracking Schemes for Mobile mmWave Massive MIMO Communications

Joydev Ghosh; In-Ho Ra; Saurabh Singh; Huseyin Haci; Khaled A. Al-Utaibi; Sadiq M. Sait

doi:10.1109/ACCESS.2021.3132383

IEEE Access (Jan 2021)

Allied Power Constraint Optimization and Optimal Beam Tracking Schemes for Mobile mmWave Massive MIMO Communications

Joydev Ghosh,
In-Ho Ra,
Saurabh Singh,
Huseyin Haci,
Khaled A. Al-Utaibi,
Sadiq M. Sait

Affiliations

Joydev Ghosh: ORCiD; School of Computer Science and Robotics, Tomsk Polytechnic University, Tomsk, Russia
In-Ho Ra: ORCiD; School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan, South Korea
Saurabh Singh: ORCiD; Department of Industrial and Systems Engineering, Dongguk University, Seoul, South Korea
Huseyin Haci: ORCiD; Department of Electrical and Electronics Engineering, Near East University, Mersin, Turkey
Khaled A. Al-Utaibi: ORCiD; Computer Science and Software Engineering Department, University of Hail, Hail, Saudi Arabia
Sadiq M. Sait: ORCiD; Department of Computer Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

DOI: https://doi.org/10.1109/ACCESS.2021.3132383
Journal volume & issue: Vol. 9
pp. 162243 – 162258

Abstract

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The fifth generation (5G) networks and internet of things (IoT) promise to transform our lives by enabling various new applications from driver-less cars to smart cities. These applications will introduce enormous amount of data traffic and number of connected devices in addition to the current wireless networks. Thus 5G networks require many researches to develop novel telecommunication technologies to accommodate these increase in data traffic and connected devices. In this paper, novel power constraint optimization and optimal beam tracking schemes are proposed for mobile mmWave massive MIMO communications. A recently published novel channel model that is different from other widely used ones is considered. The channel model considers the number of clusters and number of rays within each cluster as varying due to user mobility. The proposed power constraint optimization scheme harmonizes conventional total power constraint (TPC) and uniform power constraint (UPC) schemes into a new one called allied power constraint (APC) that can significantly improve the system performance in 5G networks while achieving fairness among users. TPC and UPC have major drawbacks with respect to fairness and achieving quality-of-service (QoS) for users in dense networks. Thus APC aims to harmonize TPC and UPC by adjusting each antenna element’s constraint to adapt for some power resilience to a specific antenna element, hence proposing an intermediate solution between the two extreme case power constraint optimization schemes. Three optimal beam tracking schemes: (i) conventional exhaustive search (CES), (ii) multiobjective joint optimization codebook (MJOC), and (iii) linear hybrid combiner (LHS) scheme, have been provided for the mobile mmWave massive MIMO system with the proposed APC scheme. For the proposed APC scheme a comprehensive performance analysis is provided and compared with TPC and UPC. Spectral efficiency (SE), bit-error-rate (BER), Jain’s fairness index, channel occupancy ratio (COR) and instantaneous interfering power metrics are investigated. It has been shown that the proposed scheme can significantly outperform conventional schemes.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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