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.
