Abstract
ABSTRACT The energy efficiency is considered as a major issue due to large power consumption of eNBs in heterogeneous cellular networks. In this paper, a novel relay station (RS) deployment scheme and base station (BS) sleep mode algorithm is proposed to minimize the power consumption of eNBs. Initially, the RSs are deployed to cover the entire area of a cell. It is due to the purpose of providing service when the BS is in sleep mode. Then the network traffic of each cell is measured with Erlang B and C probability measure. If the network traffic is low, then the BS is decided to put into sleep mode which reduces the power consumption. For that, the corresponding RS are selected to handover the active mobile users (MUs). Then, the network traffic is estimated for each RS and the RS without MU becomes sleep mode in order to reduce power consumption further. The proposed model of cellular network reduces the power consumption by applying sleep mode algorithm for both BS and RS based on the measured network traffic. The power consumed by the entire network is measured and compared with the network without sleep mode. The evaluation results show the efficiency of our proposed work.
Highlights
In recent years, the uses of communication and information technologies are developed to enhance the economy of the world
The blocking probability of each base station (BS) is estimated based on the number of users
The estimated probability is compared with the network traffic threshold for enabling sleep mode for BS
Summary
The uses of communication and information technologies are developed to enhance the economy of the world. The high data rate services are enabled in wireless communication technologies with the key factor of saving energy consumption. When modelling the cellular network, it mainly focuses on lower latency, increased number of active users, enhanced cell edge performance, high data rate and energy efficiency[3]. The trade-off between power saving and high performance is provided with the design of cellular network. The deployment of cellular network based on smaller cells such as pico, micro and femto cells provides benefits in terms of energy reduction, high data rate and cost efficiency [9]. The power consumption model is considered as a function of network traffic load which is developed for the macro cell BS.
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