2013•Unpublished venueRequires access

A low complex energy saving access algorithm based on base station sleep mode

Chao Meng, Xin Li, Xiaowen Lu, Tian Liang, Yanxiang Jiang, Wei Heng

Open publisher page 9 citations

Abstract

The traffic of wireless networks changes in time and spatial distribution. When the traffic load is low, some base stations (BSs) can be sleep mode even been turned off to improve system energy efficiency, the corresponding traffic can be provided by the rest active base stations. In this paper, firstly, considering users with different locations and Quality of Service (QoS) requirements in actual cellular networks, an energy consumption problem is formulated. Secondly, a mobile station round robin base stations (MSRRBS) access algorithm is presented based on base station sleep mode when the network traffic load is low. At last, the computation complexity analysis is given compared to exhaustive search (ES) method. Simulation results show that, the MSRRBS algorithm can significantly reduce the total energy consumption of the network with low traffic load, meanwhile it almost achieves the nearly same performance with the ES method. Three sleep scenarios are considered, it is shown that the sleep scenario is also crucial for BSs sleep design.

About this research paper

What this paper is about

The traffic of wireless networks changes in time and spatial distribution. When the traffic load is low, some base stations (BSs) can be sleep mode even been turned off to improve system energy efficiency, the corresponding traffic can be provided by the rest active base stations. In this paper, firstly, considering users with different locations and Quality of Service (QoS) requirements in actual cellular networks, an energy consumption problem is formulated. Secondly, a mobile station round robin base stations (MSRRBS) access algorithm is presented based on base station sleep mode when the network traffic load is low. At last, the computation complexity analysis is given compared to exhaustive search (ES) method. Simulation results show that, the MSRRBS algorithm can significantly reduce the total energy consumption of the network with low traffic load, meanwhile it almost achieves the nearly same performance with the ES method. Three sleep scenarios are considered, it is shown that the sleep scenario is also crucial for BSs sleep design.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The traffic of wireless networks changes in time and spatial distribution. When the traffic load is low, some base stations (BSs) can be sleep mode even been turned off to improve system energy efficiency, the corresponding traffic can be provided by the rest active base stations. In this paper, firstly, considering users with different locations and Quality of Service (QoS) requirements in actual cellular networks, an energy consumption problem is formulated. Secondly, a mobile station round robin base stations (MSRRBS) access algorithm is presented based on base station sleep mode when the network traffic load is low. At last, the computation complexity analysis is given compared to exhaustive search (ES) method. Simulation results show that, the MSRRBS algorithm can significantly reduce the total energy consumption of the network with low traffic load, meanwhile it almost achieves the nearly same performance with the ES method. Three sleep scenarios are considered, it is shown that the sleep scenario is also crucial for BSs sleep design.

Key concepts: Sleep mode, Base station, Computer science, Energy consumption, Sleep (system call), Quality of service, Real-time computing, Efficient energy use

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