# Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells: An Optimization Approach

Naqvi, Syed Ahsan Raza and Hassan, Syed Ali and Pervaiz, Haris and Ni, Qiang and Musavian, Leila (2016) Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells: An Optimization Approach. In: 2016 IEEE Globecom Workshops (GC Wkshps), 2016-12-04 - 2016-12-08.

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## Abstract

Millimeter wave (mmWave) and Device-to-Device (D2D) communications have been considered as the key enablers of the next generation networks. We consider a D2D-enabled hybrid cellular network compromising of $\mu W$ macro-cells coexisting with mmWave small cells. We investigate the dynamic resource sharing in downlink transmission to maximize the energy efficiency (EE) of the priority, or cellular users (CUs), that are opportunistically served by either macrocells or mmWave small cells, while satisfying a minimum quality-of-service (QoS) level for the D2D pairs. In order to solve this problem, we first formulate a self-adaptive power control mechanism for the D2D pairs subject to the interference threshold constraint set for the CUs, while maintaining its minimum QoS level. Subsequently, the original EE optimization problem, which aimed at maximizing the EE for both CUs and D2D pairs, has been broken up into two subproblems that manage the radio resource allocation for D2D pairs and maximize EE exclusively for CUs, in that order. We then propose an iterative algorithm to provide a near-optimal EE solution for CUs.

Item Type: Conference or Workshop Item (Paper) Published proceedings: 2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings Q Science > QA Mathematics > QA75 Electronic computers. Computer science Faculty of Science and HealthFaculty of Science and Health > Computer Science and Electronic Engineering, School of Elements Elements 20 Jan 2017 11:21 23 Sep 2022 18:49 http://repository.essex.ac.uk/id/eprint/18862

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