Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Abstract

Abstract-Energy efficient (EE) communication has earnedtremendous interest in recent years due to ever increasing number of wireless devices operating in shrinking cells, while demanding high data rates with high Quality of Services (QoS) and Quality of Expectation (QoE). To support these objectives, energy is consumed in every protocol layer. Establishing and maintaining a successful wireless communication link to simultaneously achieve all these objectives becomes challenging since the energy consumption requirements of the user and network are different for different objectives. Thus, there is a need for tradeoff techniques to achieve energy efficiency in each protocol layer. In this paper, we provide a survey of different tradeoff mechanisms proposed in the literature. The EE tradeoffs have been classified based on each protocol layer and discussed its affect in the network energy efficiency. These other QoS parameters include spectral efficiency, deployment, delay, routing, scheduling, bandwidth and coding etc. This survey also discusses the various EE techniques to improve energy-efficiency in infrastructure mode. Finally, the work provides an discussion, where impact of EE tradeoffs have been presented based on different wireless architecture towards realizing a green wireless communication network.

Energy-Efficient On–Off Power Control of Femto-Cell Base Stations for Cooperative Cellular Networks

“…As a consequence, various methods have been devised to improve the EE of MCSs [4][5][6][7][8][9][10]. The energy harvesting (EH) from radio frequency (RF) signals has recently been investigated, in which RF signals are converted into energy that can be used for data processing and transmission [11,12].…”

Energy efficient routing protocols for wireless sensor networks: comparison and future directions

“…Even though the components that assemble the sensor node save energy, inefficient protocols may lead to early death of the nodes. Energy efficiency can be achieved in WSN through implementation of efficient algorithms and protocols at various network stack level [3].…”

Energy efficient power allocation strategy for 5G carrier aggregation scenario

“…In addition, due to that multiple component carriers are used by the UE simultaneously, more transmission power will be consumed by the eNodeB as well as by the UE [5]. Therefore, energy-saving problem cannot be ignored for carrier aggregation and it is necessary to reduce the extra energy consumed by CA operation, thus reduce the carbon emission and contribute to green communication.…”