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

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, the authors 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.

• Record URL:
  https://doi.org/10.1109/MVT.2018.2871740
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15566072
• Supplemental Notes:
  • Copyright © 2018, IEEE.
• Authors:
  • Pervaiz, Haris
  • Onireti, Oluwakayode
  • Mohamed, Abdelrahim
  • Imran, Muhammad Ali
  • Tafazolli, Rahim
  • Ni, Qiang
• Publication Date: 2018-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 51-59
• Serial:
  • IEEE Vehicular Technology Magazine
  • Volume: 13
  • Issue Number: 4
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1556-6072
  • Serial URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=34840

Subject/Index Terms

• TRT Terms: Cellular radio; Energy conservation; Energy consumption; Satellite communication; Standards
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01687775
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 5 2018 4:29PM