How To Set Up A Base Station – Chapter 6 User

How can a base station save energy?

A significant saving of energy (from both environmental and economic point of view) can be obtained by implementing the energy efficiency measures like improving transmitter efficiency, upgrading system features and using alternative sources and energy saving during low traffic of base stations [15 ].

Does a green wireless network reduce the energy consumption of base stations?

The measured results revealed that the proposed model reduces the energy consumption of base stations by up to 18.8% as compared with the traditional static BSs, which is a step forward towards the implementation of green wireless communication. 1. Introduction

How can a radio network save energy?

The energy saving can be achieved by adapting the actual traffic demand by switching off unnecessary cells, modifying the radio topology and reducing the radiated power methods, such as cell micro sleep and bandwidth shrinking, but the challenge is to maintain the quality of service and the coverage area [16 ].

What are the different energy saving techniques in cellular networks?

The different energy saving techniques in cellular networks are the efficient hardware design, hybrid energy sources, network planning & management and energy- aware radio technology. In this study, DTST has been studied critically which is a promising technique to save energy and is the main theme of this research.

How to monitor energy consumption of Base Transceiver system during low traffic?

Energy consumption of base transceiver system during low traffic is monitored. Wastage of energy consumption is monitored during low traffic. An algorithm for dynamic transmitter shutdown technique is proposed. Pilot test is conducted on dynamic transmitter shut down technique by using proposed algorithm.

Why is the number of radio base stations increasing?

Due to the increasing demand of wireless communication, the number of radio base stations has been growing excessively. The wireless network is designed for maximum traffic load, but the traffic load is unevenly distributed resulting in wastage of energy consumption most of the time during low traffic.