Energy efficient ultra‐dense networks based on multi‐objective optimisation framework. Issue 6 (1st November 2018)

• Record Type: Journal Article
• Authors: Salem, Ahmed Abdelaziz; El‐Rabaie, Sayed; Shokair, Mona
• Is Part Of: IET networks. Volume 7:Issue 6(2018)
• Page Start: 398
• Page End: 405
• Publication Date: 2018-11-01
• Subjects: Pareto optimisation -- channel estimation -- energy conservation -- evolutionary computation -- telecommunication power management -- 5G mobile communication -- interference suppression -- Monte Carlo methods -- mathematical analysis -- energy consumption -- radiofrequency interference -- antenna arrays; pilot reuse -- Monte‐Carlo simulation -- dense deployment -- preservation service quality -- energy efficient ultra‐dense networks -- multiobjective optimisation framework -- energy efficiency -- pivotal uplink performance metrics -- 5G dense networks -- conflicting objectives -- benefit–cost ratio -- energy consumption -- network design tradeoff -- EE objectives -- service quality criteria -- minimum target rate -- UL power policy -- equipped BS antennas number -- signal‐to‐noise power ratio -- exhausted power -- deployed hardware elements -- evolutionary multiobjective optimisation -- single objective scheme -- intercell interference reduction -- power consumption minimisation -- operational parameters -- network spectral efficiency maximisation -- base station density -- Pareto optimality concept -- channel estimation -- mathematical analysis; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/iet-net.2017.0215
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract : Energy efficiency (EE) is considered as one of the pivotal uplink (UL) performance metrics for 5G dense networks. It consists of two conflicting objectives that are recognised as benefit–cost ratio: spectral efficiency and energy consumption. Accordingly, network design tradeoff is the key challenge for future networks. In this paper, we aim to jointly maximise network spectral efficiency and minimise power consumption with respect to the following design parameters: base station (BS) density, users' number, equipped antennas' number, and signal‐to‐noise power ratio without losing service quality. The performance of the ultra‐dense network is characterised on the basis of the Pareto optimality concept through the following benchmarks: (i) studying impact of exhausted power on the deployed hardware elements. (ii) Validating the total EE performance through Monte‐Carlo simulation within a low cost of processing time. (iii) The proposed approach is compared against single objective scheme to show the significance of the design tradeoff. Furthermore, we will introduce a detailed mathematical analysis for UL power policy and channel estimation for reliable pilot reusing. Simulation results will show that our proposed solution guarantee remarkable EE performance via reducing the number of deployed BSs without scarificing service quality.