A Power Efficiency Wireless Communication Networks by Early Detection of Wrong Decision Probability in Handover Traffic

Shweta, Patil; Bojaraj, Leena; Biradar, Pallavi; Bakhar, Mohammed; Yeshitla, Alazar

doi:https://doi.org/10.1155/2022/4612604

Wireless Communications and Mobile Computing

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Abstract Introduction Background Results and Discussion Conclusion Data Availability Conflicts of Interest References Copyright Related Articles

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Security Threats and Challenges in Future Mobile Communication Systems

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Research Article | Open Access

Volume 2022 | Article ID 4612604 | https://doi.org/10.1155/2022/4612604

A Power Efficiency Wireless Communication Networks by Early Detection of Wrong Decision Probability in Handover Traffic

Patil Shweta,¹Leena Bojaraj,²Pallavi Biradar,³Mohammed Bakhar,⁴and Alazar Yeshitla⁵

Academic Editor: Deepak Kumar Jain

Received27 Dec 2021

Revised13 Jan 2022

Accepted15 Jan 2022

Published18 Feb 2022

Abstract

This paper highlights the energy consumption due to handovers in wireless communication system. Ever-increasing demand for higher data rate for users of cellular networks and the energy consumption that results from the effective satisfaction of these demands leads to greater consumption of energy from such energy sources that depend on burning of greenhouse gas emitting fossil fuels for energy production. An evolved Node B or e-NB inside, as in equipment handling the radio frequencies, can be divided into two large categories (1) BaseBand Unit (2) Remote Radio Head or RRH. For the purpose of our current work, we will focus on mainly the Remote Radio Head part. A simple picturization of the evolved Node B and the User Equipment (UE) that are included in the power model has been discussed. The proposed framework for mobility management/security gateway protocol including wrong decision probability of handover evaluation following measurements’ procedure has been designed successfully. We have compared to other UL/UE power consumption. The lowest ISD has the largest power usage in resultant output.

1. Introduction

A seamless context-aware architecture for fourth generation wireless networks, Handoffs in fourth generation heterogeneous networks, is designed [1]. Nowadays, the mobile wireless network evolution and emerging difficulties is also highlighted in communication [2]. Deng et al. proposed a Quality of Service (QoS) system for multimedia transmission using IEEE 802.11 wireless LANs. Comparison of vertical handoff decision algorithms for heterogeneous wireless networks and vertical handoff method for cellular multihop networks which has been reviewed from the vertical handoff decision technique is presented [3–5]. In the wireless overlay networks is an adaptive technique for a vertical handoff method. Parallel and distributed dystems are two types of systems that can be used together. Optimizations for vertical handoff decision algorithms were developed by Zhu et al. in 2004 [6–8]. In the upcoming year, wireless networks will use active application-oriented vertical handoff technique. With the heterogeneous networks, handover decision with fuzzy MADM has been explained [9–11]. The Wireless Communications and Networking Conference is a gathering of people who are interested in wireless communications and networking. For next-generation networks, a network selection process is in place [12–14]. The wireless overlay network is an adaptive technique for a vertical handoff method. The large bandwidth industrial IoT has advantages due to positioning-assisted communication technology involved [15–18]. Future air traffic control communications will require the design of air-ground data linkages [19–24]. Architectural difficulties and potential for air-ground integrated mobile edge networks. A method for new computing method on the Internet of Things that integrates the air and ground as per survey of the integrated space-air-ground network [25–34].

2. Background

Ever-increasing demand for higher data rate from users of cellular networks and the energy consumption that results from successful satisfaction of these demands leads to greater consumption of energy from such energy sources that depend on burning of greenhouse gas emitting fossil fuels for energy production. In [1], the authors have highlighted that, in India, telecommunication system consumes about 2.5 billion liters of diesel at the cost of 1.4 billion U.S. dollars that causes emissions of about 5 billion tons of CO₂ annually. A significant amount of energy is lost during the process of call drops that occur largely because of inaccurate handover processes. Apart from advising mobile operators to adopt inexpensive, spotless, dependable, and sustainable power sources, the telecommunication research community can provide procedures to avoid call drops by the process of avoiding wrong handovers. In the literature, a lot of research studies have been proposed that aim to minimize the power loss due to handovers in wireless cellular networks. In the following sections, we would give a brief review of the research work that has been carried out on the topics of energy consumption related to the handover processes in wireless cellular networks. In [2], the basic material which gives a detailed explanation of the procedure of handover procedure is provided. In [3], Song et al. propose a vertical handover scheme that tries to minimize the power that is consumed during the handover procedure. In [4], Tayyab et al. explored the measurement of power consumption in LTE networks during handover procedures.

In another paper by Ghaderi and Boutaba [5], a new methodology of evaluating power consumption in LTE networks during the handover process from the network controller has been proposed, which provides an easier technique of measuring power consumed in LTE networks during handover procedures.

In [6], Tuysuz et al. presented a survey of the different algorithms and procedures that have been developed by multiple researchers for the implementation of processes of vertical handovers in long-term evolution networks or LTE networks that are efficient in terms of energy consumption during the process of handover from one network node to another network node during the movement of the user equipment across geographical distances.

The procedure of handover in 4G-LTE can be classified into different stages, namely, handover preparation (HP) andhHandover execution (HE). These stages have been described in detail in Figure 1. In Figure 1, we present the procedures that have been proposed for the management of mobility and the security gateway.

The user equipment measures and identifies which of the nearby cells will be best for it for the process of transmission of signals. After this, the user equipment sends a report to the evolved Node B or e-NB that is currently serving it. Basically, the user equipment performs a measuring of signal powers by sending a reference signal and measuring the received power from both the current e-NB and also from adjacent e-NBs. After these measurements have been completed a measurement report is generated that is transferred to the e-NB that is currently serving it. During the transferring of this measurement report, it is checked whether the received power from the reference signal is of higher quality than the signals received from the currently serving e-NB. Figure 2 shows mobility management entity and security gateway handover procedure.

If it is found that the signal quality from the adjacent e-NB is higher than that received from the e-NB that is currently serving the user equipment, then preparation of the handover process from the serving e-NB to the adjacent e-NB is initiated.

This process takes place in the following steps:(1)A formal request is sent to the neighboring e-NB from the currently serving e-NB to initiate the handover procedure(2)After this, a command is generated that is transferred to the concerned user eEquipment from the serving e-NB to get prepared for the handover process(3)Following this, the concerned user equipment transfers the messages to the newly targeted e-NB(4)After the reception of this message from the user equipment, the targeted e-NB is sent a handover confirmation message through the transmission of a random access channel transmission(5)After this, the targeted e-NB sends a confirmation message to the previous supporting e-NB about the success of the handover process

It is at this point we want to bring in our innovation regarding the transmission of the handover message.

3. Proposed Methodology

3.1. Model of Energy Consumption between the User Equipment and e-NB

Inside an evolved node B or e-NB, as in [8], equipment handling the radio frequencies can be divided into two large categories: (1) BaseBand Unit and (2) Remote Radio Head or RRH. For the purpose of our current work, we will focus on mainly the Remote Radio Head part. An illustration of the considered engagement between the e-NB and the User Equipment has been presented in Figure 1.

In Figure 1, we represent as the supply power to generate the signal output power , where . In the current problem, we are mainly interested about the contribution of the handover procedure to .

The power distribution algorithm for both the e-NB and the user equipment (UE) will fine-tune the power level that has been allocated for every subcarrier and resource segments:where is the numerical count of the resource segments in the DownLink represented as DL in a system with bandwidth .

Allocated transmitted power measured in Watts in each message is expressed aswhere and the number of Downlink and Uplink messages in .

In particular, e-NB transmitting signalling, , can be written as follows:where is the output transmitted power given by equation (3).

Here, time-mean supply power iswhere in which is the supply power represented in equations (3) and (4) and expresses the total duty cycle or percentage of time where the signalling is actually transmitted; we can rewrite it as

is referred as the messaging rate.

Table 1 represents the power usage data.

3.2. Proposed Solution

In this section, we combine the concept of missing handovers and unnecessary handovers with , the supply power at the user equipments or at the evolved Node B (e-NB). By this procedure, we are able to find out how much the energy varied.

Generally, in conventional handover initiation procedure in long-term evolution networks or LTE networks, measurements are conducted, and then, after that, the handover request transmission starts from the end of the e-NB that is supporting the user equipment.

Now, we propose a new framework that will first evaluate the wrong decision probability of handover procedure following the technique proposed in Section 4 based on the measurement report that has been generated.

We will measure the wrong decision probability of the handover procedure by equation (6) presented below:

After the evaluation of the probability value , we would relate it to the power consumption value presented via equation (5) in this section.

After doing this, we obtained the result presented in Figure 3, where we found that compared to the conventional procedure presented in Figure 1 by following the new methodology (see Figure 3) of first evaluating the wrong decision probability and then including that the value (as evaluated using equation (6)) in the handover decision process reduces the energy consumed in the handover process by avoiding unnecessary handovers in the network.

4. Results and Discussion

This section contains numerical data on the signalling rate during the HO procedure. The influence of intersite distance (ISD) and UE speed on an aggregate signalling rate is depicted in Figure 4. This is the issue because higher UE speeds for microcells cause movement away from the source cell, which might cause problems during HO and hence increase signalling overhead.

The average supply power consumption as a result of the numerous HO signalling broadcasts is calculated in this section. The values for constant speed, offset, and TTT are shown in Figure 5. Because we can eliminate the UL impairment problems that arise for small and large ISDs, we can attain the lowest power consumption for ISD 500m, which is under the simulated assumptions provided.

According to Figures 4 and 5, the performance of the power consumption and the speed of UEs is analyzed for investigating the performance to handover. In this work, the handover by means of mobility management and security gateway protocol achieves the better performance.

5. Conclusion and Future Scope

To obtain the simple picturization of the evolved node B and the user equipments that are included in the power model has been discussed effectively. The proposed framework for mobility management/security gateway protocol including wrong decision probability of hand over evaluation following measurements’ procedure has designed successfully. The power consumption of HO command transmission (DL/eNB power consumption) is significantly higher as compared to others (UL/UE power consumption). The lowest ISD has the largest power usage, as can be seen in both graphs. Result of the handover from the enodeB to the user equipment is 0.5 milliseconds. It is possible to transport messages in a reasonable amount of time. The massage transfer durations will be extended in the near future.

Data Availability

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

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Copyright © 2022 Patil Shweta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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