Wireless Traffic Steering For Green Cellular Networks, Softcover reprint of the original 1st ed. 2016
Langue : Anglais
Auteurs : Zhang Shan, Zhang Ning, Zhou Sheng, Niu Zhisheng, Shen Xuemin (Sherman)
This book introduces wireless traffic steering as a paradigm to realize green communication in multi-tier heterogeneous cellular networks. By matching network resources and dynamic mobile traffic demand, traffic steering helps to reduce on-grid power consumption with on-demand services provided. This book reviews existing solutions from the perspectives of energy consumption reduction and renewable energy harvesting. Specifically, it explains how traffic steering can improve energy efficiency through intelligent traffic-resource matching. Several promising traffic steering approaches for dynamic network planning and renewable energy demand-supply balancing are discussed.
This book presents an energy-aware traffic steering method for networks with energy harvesting, which optimizes the traffic allocated to each cell based on the renewable energy status. Renewable energy demand-supply balancing is a key factor in energy dynamics, aimed at enhancing renewable energy sustainability to reduce on-grid energy consumption. Dynamic network planning adjusts cell density with traffic variations to provide on-demand service, which reduces network power consumption with quality of service provisioning during off-peak hours. With intra- or inter-tier traffic steering, cell density is dynamically optimized with regards to the instant traffic load for conventional homogeneous and multi-tier heterogeneous cellular networks, respectively.
This book is beneficial for researchers and graduate students interested in traffic management and future wireless networking.
Introduction.- Literature Review on Green Communications.- Dynamic Network Planning with Intra-Tier Traffic Steering.- Dynamic Network Planning with Inter-Tier Traffic Steering.- Inter-Tier Traffic Steering with Renewable Energy Harvesting.- Concluding Remarks.
Introduces critical research on energy-efficient traffic steering for green cellular networks Presents a two-stage energy-aware traffic steering scheme Demonstrates how to optimize the traffic allocated to each cell via an energy-aware traffic steering method for networks with energy harvesting
Date de parution : 05-2018
Ouvrage de 128 p.
15.5x23.5 cm
Date de parution : 06-2016
Ouvrage de 128 p.
15.5x23.5 cm
Thème de Wireless Traffic Steering For Green Cellular Networks :
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