JOURNAL ARTICLE

BS Switching for Green Cellular Networks Using Energy-Aware Dynamic Traffic Offloading Schemes

Abstract

Conventional planning and optimization of cellular networks for supporting the peak-time user demand leads to substantial wastage of electrical energy. Therefore, we propose an energy-aware dynamic network provisioning framework for realizing green mobile cellular systems by reducing energy consumption in access networks. Proposed mechanism allows base stations (BSs) to offload their entire traffic to the neighbors and thus allows some BSs to switch into sleep mode for saving energy. Four different traffic offloading schemes for redistributing users among the neighboring BSs are proposed and investigated. Flexible resource allocation is integrated in the system for maintaining quality of service (QoS) throughout the network. Furthermore, for avoiding the high complexity of the formulated generalized energy optimization problem, a heuristically guided algorithmic framework is developed. System performance is evaluated using extensive simulations demonstrating a substantial energy savings. Impact of the proposed network provisioning framework on the bandwidth utilization is also analyzed.

Keywords:
Computer science Energy consumption Quality of service Cellular network Cellular traffic Provisioning Sleep mode Computer network Base station Efficient energy use Bandwidth (computing) Resource allocation Distributed computing Engineering Power consumption

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Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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