Abstract

Power saving is one of the key factors of emerging 4G mobile network as well as in IEEE 802.16e wireless metropolitan area networks (Wireless MAN). An efficient power saving mechanism is the heart for the guarantee of a long operating lifetime for a mobile subscriber station (MS), because MSs are normally driven by rechargeable batteries. It is a vital factor for Base Station (BS) of the same network. One of the most important features of 5G mobile is the extension of battery energy 10 times greater than the present days. In this context, the evaluation of duration of sleep mode of BS or MS based on traffic load of a network is now a new era of research work. In this paper, such analysis has been done based on two statistical models: Poisson’s pdf and Engset pdf. The concept of complete sharing and partitioning of user group of teletraffic engineering is applied to measure the possibility of getting leisure time of BS or MS. Both the traffic models used in the paper are applicable in both limited and unlimited user network, i.e. in micro and fem to cellular network of 4G and 5G.

Highlights

  • Nowadays, wireless communications play an essential role in our daily life

  • If the packet number Nth is considered as the number of threshold packets, the probability of arriving a number of packets greater than Nth over duration of k frame is expressed as: ( ) ∞ λkT i e−λkT

  • Taking T = 2 ms and Nth = 40 and the variation of probability of data accumulation against K is shown in Figure 4 where the packet arrival rate λ is taken as a parameter

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Summary

Introduction

Wireless communications play an essential role in our daily life. People’s connections with their society, culture and even one another are about to change due to wireless communications’ ease availability and newer and faster mobile devices. (2016) Load Sensitive Power Saving Technique for 4G Mobile Network under Limited User Traffic. In [2], a new energy saving mechanism is proposed where sleep interval is changed considering traffic rate for IEEE 802.16 e/m. The profile of power consumption and latency is shown against average inter-arrival time for both the methods. Another mechanism of energy saving is Discontinuous Reception Mechanism (DRX) which has been analyzed in [6]. If UL and DL traffic are asynchronous UL/DL traffic is delayed to make them synchronize with sleep interval Such concept is applied in [9]; where authors plot the energy consumption against arrival rate of UL and DL. The entire paper is organized as: section 2 deals with both limited and unlimited user’s traffic to determine probability of data accumulation, section 3 provides the results based on statistical analysis of section 2 and section 4 concludes the entire analysis

Unlimited Source Traffic Model
Limited Source Traffic Model
Result
Findings
Conclusion
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