Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks:A Multilevel Sleep Strategy Mechanism

Pervaiz, Haris and Onireti, Oluwakayode and Mohamed, Abdelrahim and Imran, Muhammad Ali and Tafazolli, Rahim and Ni, Qiang (2018) Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks:A Multilevel Sleep Strategy Mechanism. IEEE Vehicular Technology Magazine, 13 (4). pp. 51-59. ISSN 1556-6072

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Abstract

Today, dense network deployment is being considered as one of the effective strategies to meet the capacity and connectivity demands of the fifth-generation (5G) cellular system. Among several challenges, energy consumption will be a critical consideration in the 5G era. In this direction, base station (BS) on/off operation (sleep mode) is an effective technique for mitigating the excessive energy consumption in ultradense cellular networks. However, the current implementation of this technique is unsuitable for dynamic networks with fluctuating traffic profiles because of coverage constraints, quality-of-service (QoS) requirements, and hardware switching latency. To address this, we propose an energy/load proportional approach for 5G BSs with control/data plane separation. The proposed approach depends on a multistep sleep mode profiling and predicts the BS vacation time in advance. Such a prediction enables selecting the best sleep mode strategy while minimizing the effect of BS activation/reactivation latency, resulting in significant energy savings.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Vehicular Technology Magazine
Additional Information:
©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2203
Subjects:
ID Code:
131784
Deposited By:
Deposited On:
14 Mar 2019 11:10
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Oct 2020 03:05