On-Demand Based Wireless Resources Trading for Green Communications

TL;DR

This paper introduces a novel wireless resource trading scheme for green communications that optimizes energy consumption by trading off different resources based on demand, leading to significant energy savings.

Contribution

It proposes a new wireless resource trading model and an adaptive strategy to minimize energy use while maintaining QoS in green wireless networks.

Findings

Significant reduction in energy consumption demonstrated through simulations.

Derived optimal energy-bandwidth and energy-time trading relationships.

Adaptive trading strategies improve efficiency based on transmission distance and delay bounds.

Abstract

The purpose of Green Communications is to reduce the energy consumption of the communication system as much as possible without compromising the quality of service (QoS) for users. An effective approach for Green Wireless Communications is On-Demand strategy, which scales power consumption with the volume and location of user demand. Applying the On-Demand Communications model, we propose a novel scheme -- Wireless Resource Trading, which characterizes the trading relationship among different wireless resources for a given number of performance metrics. According to wireless resource trading relationship, different wireless resources can be consumed for the same set of performance metrics. Therefore, to minimize the energy consumption for given performance metrics, we can trade the other type of wireless resources for the energy resource under the demanded performance metrics. Based on the wireless resource trading relationship, we derive the optimal energy-bandwidth and energy-time wireless resource trading relationship for green wireless communications. We also develop an adaptive trading strategy by using different bandwidths or different delays for different transmission distances with available bandwidths and acceptable delay bounds in wireless networks. Our conducted simulations show that the energy consumption of wireless networks can be significantly reduced with our proposed wireless resources trading scheme.