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International Journal of Electrical and Computer Engineering (IJECE)
Vol. 11, No. 4, August 2021, pp. 3310~3318
ISSN: 2088-8708, DOI: 10.11591/ijece.v11i4.pp3310-3318  3310
Journal homepage: http://ijece.iaescore.com
Design and development of handover simulator model in 5G
cellular network
Abdulkarem Basil Abdulkarem1
, Lukman Audah2
1,2
Wireless and Radio Science Centre (WARAS), Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
1
Department of Computer Engineering Techniques, Al-Maarif University College, Ramadi, Iraq
Article Info ABSTRACT
Article history:
Received Sep 4, 2020
Revised Dec 6, 2020
Accepted Jan 19, 2021
In the modern era of technology, the high speed internet is the most
important part of human life. The current available network is reckoned to be
slow in speed and not be up to snuff for data transmission regarding business
applications. The objective of handover mechanism is to reassign the current
session handle by internet gadget. The globe needs the next generation high
mobility and throughput performance based internet model. This research
paper explains the proposed method of design and development for handover
based 5G cellular network. In comparison to the traditional method, we
propose to control the handovers between base-stations using a concentric
method. The channel simulator is applied over the range of the frequencies
from 500 MHz to 150 GHz and radio frequency for the 700 MHz bandwidth.
The performance of the simulation system is calculated on the basis of
handover preparation and completion time regarding base station as well as
number of users. From this experiment we achieve the 7.08 ms handover
preparation time and 9.98 ms handover completion time. The author
recommended the minimum handover completion time, perform the high
speed for 5G cellular networks.
Keywords:
Handover
LTE
MANET
SDN
Simulator
This is an open access article under the CC BY-SA license.
Corresponding Author:
Lukman Audah
Wireless and Radio Science Centre (WARAS)
Universiti Tun Hussein Onn Malaysia
86400 Parit Raja, Batu Pahat, Johor, Malaysia
Email: hanif@uthm.edu.my
1. INTRODUCTION
In this age of communication technology, 5G technology is becoming a necessary revolution. To
bridge the gap between the current internet technology and its ease of use of common man is the challenging
task. The most common method to increase the current network capacity with the available speed and
frequency range is based on a re-use mechanism for the frequency level [1]. The main goal of internet
technology is that the high-speed network in an area of coverage. The partition of the frequency band within
the network is possible only with the help of the transfer mechanism [2]. The transfer mechanism is
responsible for reallocating the frequency of the current session used by one device to the other [3]. The
future use of mobile technology is expected to reach 250 times its current level in 2020. The use of internet
of technology for business and real time application reach towards more than 10 billion in 2020. The main
objective of the 5G is the flexibility, scalability, adaptability and realizable network development [4]. To
achieve high speed, reliable network researcher is using the software defined network with 5G technology.
The triangular problem is faced between the data sharing among the node because of the huge burden on the
current network. The cloud computing technology has been currently used for the minimization of weight on
Int J Elec & Comp Eng ISSN: 2088-8708 
Design and development of handover simulator model in… (Abdulkarem Basil Abdulkarem)
3311
the current network [5, 6]. For the achieving the capacity for small cell base station HetNets were used
towards the development of 5G dense networks. This network minimize the handover preparation and
activation time.
The current mobile networks are witnessing for the ongoing enhancements in traffic and newly
connected users [7]. The newly user definitely increases the exponential data traffic among the network. The
handover mechanism is a key solution for aim to satisfying the rising requirement in 5G network [8, 9]. The
uses of the high number of nodes in the networks are creating a challenge towards mobility management. The
handover mechanism is working as the partition the frequency band of the available node for the network
[10]. The numerous use of handover also makes impact on computer network. The handover needs the delay
of time for the functionality. The challenging task is to select the proper handover and implement on proper
condition. The channel coding is also a key task for the handover implementation. The performance of the
developed network is calculated on the basis of handover delay time [11]. The cellular architecture of 5G
using ultra dense network deployment (UND) has been proposed and tested by the researcher. This proposed
network has macro base station and radio transmission technology increases 10 times of current frequency.
This proposed model will be providing the macro and backbone channel. In this model the optimal small cell
base channel (SBS) is connected to substation for the frequency [12]. The average channel capacity is
estimated based on spread spectrum and MIMO system. The transmitted signal is extracted bandwidth [13].
Many researchers have been proposed the 5G handover simulation model for the real time
application. The system level simulation and stable performance achievement from the 5G simulation is
discussed by the researcher [14]. The motivated research has been explained in the comparative analysis of
4G and 5G simulation network was explained by the researcher [15]. Most of work has been proposed using
the open source software MANET routing protocol and simulation [16]. The researcher highlighted different
protocol for the testing of the simulation model with respective time parameter [17]. The comparative
analysis for commercial and open source simulation model and its results was explained by the researcher
[18, 19]. The researcher are used the ping pong and time based delay handover for the development of
reliable 5G network. The description of the handover mechanism is explained in the Figure 1. The Figure 1
explains the received function of receiver frequency from neighbour node of the network. The observation of
the neighbour node is transmitted to the base station. The frequency of the neighbour node is transmitted
using the downlink manner explained by the researcher [20].
Figure 1. Description of handover mechanism among the cellular network
This research devoted towards design and development of proposed approach of handover based 5G
network. The 5G network is design using the intra frequency handover mechanism. In the literature there are
various algorithm are used for handover implementation for cellular network [21]. In the proposed network
have three levels for the development. The levels are access cloud (AC), regional distributed cloud (RC), and
national centralized cloud (NC). From this level we are concentrated on AC and other plane of cloud become
unchanged. This research proposed X2 based delay handover for the 5G network simulator development. The
procedure and protocol of LTE standard has been used for this model [22]. In the cellular network frequency
of the neighbour node is observing and passed to the base station. The HO implementation and completion
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 11, No. 4, August 2021 : 3310 - 3318
3312
performance is also highlighted during this research. The researcher has proposed the model using LTE
standards and achieves the time as approximately 6.94 from the experimental observation [23]. The
traditional handover implementation considers the delay time and serving the frequency partition of the node
among converge of the network. From the literature study it is observed that the there is extent need for the
design and development of handover based 5G simulator model. The main objective of this research is to
design and implementation of 5G network based on handover mechanism.
The overall structure of the paper is ordered as given. The section 2 explained proposed research
design, and the procedure for the research implementation. The results and discussion regarding the proposed
research is described in section 3. The concluding remark followed by the references is included in section 4.
2. RESEARCH METHOD
The technology of 5G has been set the reliable and trusted network. For the business and IOT
application the role of 5G speed is important [24]. The architecture of the 5G is combination of the 3G,
GPRS and LTE. Each technology has its own server and combination of the server towards the development
of 5G is described in the Figure 2. The 5G architecture has a main terminal which has an independent and
autonomous radio terminal connected using IP link. The packet data is transferred from terminal to 5G
terminal.
Figure 2. Proposed architecture of 5G technology
The design and development of desirable 5G network and its real time application setup is the
challenging task for the researcher. The simulation model provides the facility to develop the topology,
simulated real time executed performance-based model [25, 26]. On the basis of nodes of network and
simulated results provided link between networks the simulation software used by the researcher [27].
For the simulation of the network need the information and target of the network. On the basis of
information and target the proposed steps for simulation model is described in Figure 3. From the proposed
model the information for the network is collection or gathered. The target for the simulation is set.
Time optimization of the handover mechanism among the macro cell using the velocity of the
received signal has been elaborated by the researcher [28, 29]. The time of the handover optimization in
different environment is explained by the various algorithm is explained by the researcher [30, 31]. The most
of the researcher are targeted the handover implementation in 5G network. The base station functionality and
Int J Elec & Comp Eng ISSN: 2088-8708 
Design and development of handover simulator model in… (Abdulkarem Basil Abdulkarem)
3313
minimum delay handover implementation is the challenging task. For serving this conditional problem
centralized mechanism of handover is implemented through simulation formulation.
Figure 3. Proposed steps of 5G simulation model
3. RESULTS AND DISCUSSION
The experiment is tested for the 5G simulation model. The Figure 4 describes the graphical
representation of the selected parameter for the simulation model. The model is developed for number of
sample channel model impulse response. The response is tested on the basis of distance parameter. The
performance of the Simulator model is calculated on the basis of time factor. The experiment is tested over
the MATLAB simulator on the server system. The features of server include the Intel Xenon 2.40 GHz
processor and memory unit of 96 GB.
Figure 4. Graphical representation of 5G simulator model
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Int J Elec & Comp Eng, Vol. 11, No. 4, August 2021 : 3310 - 3318
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From the above graphical representation the total 28 input parameter are passed for the experiment.
The 28 parameter are selected from the channel parameter and Antenna properties. The channel has 16 input
parameter and 12 parameters are used for the Antenna properties. The architecture of channel parameter used
for the simulation experiment is described in Figure 5.
Figure 5. The architecture of channel parameter towards simulation model
The implemented handover implemented for the 5G network handover network is shown in the
Figure 6. The handover is implemented using the SDNC and traffic model. The performance of the simulated
network is calculated on the basis of the performance of the simulated network. The topology is the major
and challenging task for simulation model. The tested topology for the simulation of the 5G computer
network is explained in the Figure 7. The noise level and the channel model for the simulation model are
explained in the Figure 8.
Figure 6. Implemented handover for the 5G simulated network
Int J Elec & Comp Eng ISSN: 2088-8708 
Design and development of handover simulator model in… (Abdulkarem Basil Abdulkarem)
3315
Figure 7. The tested topology for the simulation model
Figure 8. Real time factor with respective to channel specification
The handover implemented and tested using the 5G simulated models. The performance of the
handover execution is calculated on the basis of execution time. The graphical representation for average rate
and number of user is explained in Figure 9. The Figure 9 explained the representation of average rate and
number of user for the transmission in the signal. From Figure 9, it observed that as increase data rate number
of user is also increases. The average rate and number of base station is represented in Figure 10.
 ISSN: 2088-8708
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Figure 9. Average rate vs number of user
The variation based representation for average rate vs number of base station such as 10, 20, 30, 40
and 50 is explained in Figure 10. From Figure 10, it is observed that the base station increases then the data
rate become decrease. The graphical representation of the handover preparation and extraction time is
explained in Figure 11. From Figure 11, observed that the handover execution time is the sum of these
contributions and the HO interruption time. The graphical representation of the data rate and delay for the
handover execution time is extracted. We assumed a constant handover interruption time of 15 ms and
observed that HO preparation and completion times are almost constant for data traffic rates per UE up to 1
Gbps. From this point on the HO, execution time increases because the backhaul network begins to exhibit
congestion. In other words, the time spent waiting in queues at BN rise. Handover interrupts time is directly
affecting the performance of the simulation network. The delay of the transmission increases, it directly
increases the failure rate of handoff in the transmission.
Figure 10. Average rate vs number of base station
From the literature experiment it is observed that the delay of handover and handover preparation is
the 8.0 ms and handover completion time is 10.78 ms [11, 15]. The proposed handover from the researcher is
used for the coverage planning and 5G development. From the above literature results it is observed that the
extracted handover preparation time like 7.08 ms and handover completion time is 9.98 ms is optimal. The
delay of the handover is 2.9 ms. The performance of the proposed 5G is extreme level because the delay time
is optimal.
Int J Elec & Comp Eng ISSN: 2088-8708 
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Figure 11. Performance of the handover simulation model on the basis of execution time
4. CONCLUSION
In this research the design and development of 5G handover implementation has been carried out. In
this experiment the MATLAB software are used for the simulation network development. The channel model
and Antenna mode are used for the development. The 28 parameters are passed for the experimental analysis
in which 16 are for channel parameter. Twelve parameters are used for the Antenna properties. The system
level simulator model is developed from this experiment. From the simulator we have developed the
topology and handover implementation. The simulator is tested over the frequency range of 500 MHz to
150 GHz and radio frequency for the 700 MHz bandwidth. The design model is compared with the 3G and
4G simulator model. The performance of the simulation system is calculated on the basis of handover
preparation and completion time. This experiment achieves the 7.08 ms handover preparation time and 9.98
ms handover completion time. The delay time for the handover is 2.9 ms. The author recommended that to
perform the future work regarding to minimize the delay of to improve the performance of the 5G cellular
technology.
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Design and development of handover simulator model in 5G cellular network

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 11, No. 4, August 2021, pp. 3310~3318 ISSN: 2088-8708, DOI: 10.11591/ijece.v11i4.pp3310-3318  3310 Journal homepage: http://ijece.iaescore.com Design and development of handover simulator model in 5G cellular network Abdulkarem Basil Abdulkarem1 , Lukman Audah2 1,2 Wireless and Radio Science Centre (WARAS), Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia 1 Department of Computer Engineering Techniques, Al-Maarif University College, Ramadi, Iraq Article Info ABSTRACT Article history: Received Sep 4, 2020 Revised Dec 6, 2020 Accepted Jan 19, 2021 In the modern era of technology, the high speed internet is the most important part of human life. The current available network is reckoned to be slow in speed and not be up to snuff for data transmission regarding business applications. The objective of handover mechanism is to reassign the current session handle by internet gadget. The globe needs the next generation high mobility and throughput performance based internet model. This research paper explains the proposed method of design and development for handover based 5G cellular network. In comparison to the traditional method, we propose to control the handovers between base-stations using a concentric method. The channel simulator is applied over the range of the frequencies from 500 MHz to 150 GHz and radio frequency for the 700 MHz bandwidth. The performance of the simulation system is calculated on the basis of handover preparation and completion time regarding base station as well as number of users. From this experiment we achieve the 7.08 ms handover preparation time and 9.98 ms handover completion time. The author recommended the minimum handover completion time, perform the high speed for 5G cellular networks. Keywords: Handover LTE MANET SDN Simulator This is an open access article under the CC BY-SA license. Corresponding Author: Lukman Audah Wireless and Radio Science Centre (WARAS) Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, Malaysia Email: hanif@uthm.edu.my 1. INTRODUCTION In this age of communication technology, 5G technology is becoming a necessary revolution. To bridge the gap between the current internet technology and its ease of use of common man is the challenging task. The most common method to increase the current network capacity with the available speed and frequency range is based on a re-use mechanism for the frequency level [1]. The main goal of internet technology is that the high-speed network in an area of coverage. The partition of the frequency band within the network is possible only with the help of the transfer mechanism [2]. The transfer mechanism is responsible for reallocating the frequency of the current session used by one device to the other [3]. The future use of mobile technology is expected to reach 250 times its current level in 2020. The use of internet of technology for business and real time application reach towards more than 10 billion in 2020. The main objective of the 5G is the flexibility, scalability, adaptability and realizable network development [4]. To achieve high speed, reliable network researcher is using the software defined network with 5G technology. The triangular problem is faced between the data sharing among the node because of the huge burden on the current network. The cloud computing technology has been currently used for the minimization of weight on
  • 2. Int J Elec & Comp Eng ISSN: 2088-8708  Design and development of handover simulator model in… (Abdulkarem Basil Abdulkarem) 3311 the current network [5, 6]. For the achieving the capacity for small cell base station HetNets were used towards the development of 5G dense networks. This network minimize the handover preparation and activation time. The current mobile networks are witnessing for the ongoing enhancements in traffic and newly connected users [7]. The newly user definitely increases the exponential data traffic among the network. The handover mechanism is a key solution for aim to satisfying the rising requirement in 5G network [8, 9]. The uses of the high number of nodes in the networks are creating a challenge towards mobility management. The handover mechanism is working as the partition the frequency band of the available node for the network [10]. The numerous use of handover also makes impact on computer network. The handover needs the delay of time for the functionality. The challenging task is to select the proper handover and implement on proper condition. The channel coding is also a key task for the handover implementation. The performance of the developed network is calculated on the basis of handover delay time [11]. The cellular architecture of 5G using ultra dense network deployment (UND) has been proposed and tested by the researcher. This proposed network has macro base station and radio transmission technology increases 10 times of current frequency. This proposed model will be providing the macro and backbone channel. In this model the optimal small cell base channel (SBS) is connected to substation for the frequency [12]. The average channel capacity is estimated based on spread spectrum and MIMO system. The transmitted signal is extracted bandwidth [13]. Many researchers have been proposed the 5G handover simulation model for the real time application. The system level simulation and stable performance achievement from the 5G simulation is discussed by the researcher [14]. The motivated research has been explained in the comparative analysis of 4G and 5G simulation network was explained by the researcher [15]. Most of work has been proposed using the open source software MANET routing protocol and simulation [16]. The researcher highlighted different protocol for the testing of the simulation model with respective time parameter [17]. The comparative analysis for commercial and open source simulation model and its results was explained by the researcher [18, 19]. The researcher are used the ping pong and time based delay handover for the development of reliable 5G network. The description of the handover mechanism is explained in the Figure 1. The Figure 1 explains the received function of receiver frequency from neighbour node of the network. The observation of the neighbour node is transmitted to the base station. The frequency of the neighbour node is transmitted using the downlink manner explained by the researcher [20]. Figure 1. Description of handover mechanism among the cellular network This research devoted towards design and development of proposed approach of handover based 5G network. The 5G network is design using the intra frequency handover mechanism. In the literature there are various algorithm are used for handover implementation for cellular network [21]. In the proposed network have three levels for the development. The levels are access cloud (AC), regional distributed cloud (RC), and national centralized cloud (NC). From this level we are concentrated on AC and other plane of cloud become unchanged. This research proposed X2 based delay handover for the 5G network simulator development. The procedure and protocol of LTE standard has been used for this model [22]. In the cellular network frequency of the neighbour node is observing and passed to the base station. The HO implementation and completion
  • 3.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 11, No. 4, August 2021 : 3310 - 3318 3312 performance is also highlighted during this research. The researcher has proposed the model using LTE standards and achieves the time as approximately 6.94 from the experimental observation [23]. The traditional handover implementation considers the delay time and serving the frequency partition of the node among converge of the network. From the literature study it is observed that the there is extent need for the design and development of handover based 5G simulator model. The main objective of this research is to design and implementation of 5G network based on handover mechanism. The overall structure of the paper is ordered as given. The section 2 explained proposed research design, and the procedure for the research implementation. The results and discussion regarding the proposed research is described in section 3. The concluding remark followed by the references is included in section 4. 2. RESEARCH METHOD The technology of 5G has been set the reliable and trusted network. For the business and IOT application the role of 5G speed is important [24]. The architecture of the 5G is combination of the 3G, GPRS and LTE. Each technology has its own server and combination of the server towards the development of 5G is described in the Figure 2. The 5G architecture has a main terminal which has an independent and autonomous radio terminal connected using IP link. The packet data is transferred from terminal to 5G terminal. Figure 2. Proposed architecture of 5G technology The design and development of desirable 5G network and its real time application setup is the challenging task for the researcher. The simulation model provides the facility to develop the topology, simulated real time executed performance-based model [25, 26]. On the basis of nodes of network and simulated results provided link between networks the simulation software used by the researcher [27]. For the simulation of the network need the information and target of the network. On the basis of information and target the proposed steps for simulation model is described in Figure 3. From the proposed model the information for the network is collection or gathered. The target for the simulation is set. Time optimization of the handover mechanism among the macro cell using the velocity of the received signal has been elaborated by the researcher [28, 29]. The time of the handover optimization in different environment is explained by the various algorithm is explained by the researcher [30, 31]. The most of the researcher are targeted the handover implementation in 5G network. The base station functionality and
  • 4. Int J Elec & Comp Eng ISSN: 2088-8708  Design and development of handover simulator model in… (Abdulkarem Basil Abdulkarem) 3313 minimum delay handover implementation is the challenging task. For serving this conditional problem centralized mechanism of handover is implemented through simulation formulation. Figure 3. Proposed steps of 5G simulation model 3. RESULTS AND DISCUSSION The experiment is tested for the 5G simulation model. The Figure 4 describes the graphical representation of the selected parameter for the simulation model. The model is developed for number of sample channel model impulse response. The response is tested on the basis of distance parameter. The performance of the Simulator model is calculated on the basis of time factor. The experiment is tested over the MATLAB simulator on the server system. The features of server include the Intel Xenon 2.40 GHz processor and memory unit of 96 GB. Figure 4. Graphical representation of 5G simulator model
  • 5.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 11, No. 4, August 2021 : 3310 - 3318 3314 From the above graphical representation the total 28 input parameter are passed for the experiment. The 28 parameter are selected from the channel parameter and Antenna properties. The channel has 16 input parameter and 12 parameters are used for the Antenna properties. The architecture of channel parameter used for the simulation experiment is described in Figure 5. Figure 5. The architecture of channel parameter towards simulation model The implemented handover implemented for the 5G network handover network is shown in the Figure 6. The handover is implemented using the SDNC and traffic model. The performance of the simulated network is calculated on the basis of the performance of the simulated network. The topology is the major and challenging task for simulation model. The tested topology for the simulation of the 5G computer network is explained in the Figure 7. The noise level and the channel model for the simulation model are explained in the Figure 8. Figure 6. Implemented handover for the 5G simulated network
  • 6. Int J Elec & Comp Eng ISSN: 2088-8708  Design and development of handover simulator model in… (Abdulkarem Basil Abdulkarem) 3315 Figure 7. The tested topology for the simulation model Figure 8. Real time factor with respective to channel specification The handover implemented and tested using the 5G simulated models. The performance of the handover execution is calculated on the basis of execution time. The graphical representation for average rate and number of user is explained in Figure 9. The Figure 9 explained the representation of average rate and number of user for the transmission in the signal. From Figure 9, it observed that as increase data rate number of user is also increases. The average rate and number of base station is represented in Figure 10.
  • 7.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 11, No. 4, August 2021 : 3310 - 3318 3316 Figure 9. Average rate vs number of user The variation based representation for average rate vs number of base station such as 10, 20, 30, 40 and 50 is explained in Figure 10. From Figure 10, it is observed that the base station increases then the data rate become decrease. The graphical representation of the handover preparation and extraction time is explained in Figure 11. From Figure 11, observed that the handover execution time is the sum of these contributions and the HO interruption time. The graphical representation of the data rate and delay for the handover execution time is extracted. We assumed a constant handover interruption time of 15 ms and observed that HO preparation and completion times are almost constant for data traffic rates per UE up to 1 Gbps. From this point on the HO, execution time increases because the backhaul network begins to exhibit congestion. In other words, the time spent waiting in queues at BN rise. Handover interrupts time is directly affecting the performance of the simulation network. The delay of the transmission increases, it directly increases the failure rate of handoff in the transmission. Figure 10. Average rate vs number of base station From the literature experiment it is observed that the delay of handover and handover preparation is the 8.0 ms and handover completion time is 10.78 ms [11, 15]. The proposed handover from the researcher is used for the coverage planning and 5G development. From the above literature results it is observed that the extracted handover preparation time like 7.08 ms and handover completion time is 9.98 ms is optimal. The delay of the handover is 2.9 ms. The performance of the proposed 5G is extreme level because the delay time is optimal.
  • 8. Int J Elec & Comp Eng ISSN: 2088-8708  Design and development of handover simulator model in… (Abdulkarem Basil Abdulkarem) 3317 Figure 11. Performance of the handover simulation model on the basis of execution time 4. CONCLUSION In this research the design and development of 5G handover implementation has been carried out. In this experiment the MATLAB software are used for the simulation network development. The channel model and Antenna mode are used for the development. The 28 parameters are passed for the experimental analysis in which 16 are for channel parameter. Twelve parameters are used for the Antenna properties. The system level simulator model is developed from this experiment. From the simulator we have developed the topology and handover implementation. The simulator is tested over the frequency range of 500 MHz to 150 GHz and radio frequency for the 700 MHz bandwidth. The design model is compared with the 3G and 4G simulator model. The performance of the simulation system is calculated on the basis of handover preparation and completion time. This experiment achieves the 7.08 ms handover preparation time and 9.98 ms handover completion time. The delay time for the handover is 2.9 ms. The author recommended that to perform the future work regarding to minimize the delay of to improve the performance of the 5G cellular technology. REFERENCES [1] Gharsallah, Amina, Zarai, “MIH/SDN-Based Vertical Handover Approach For 5G Mobile Networks,” Journal of Information Science and Engineering,vol. 35, no. 5, pp. 1161–1172, Sep. 2019. [2] X. Jiangwei et al., “Method and apparatus for handover in mobile content centric network,” US Patent, Jan. 2018. [3] G. Liu and D. Jiang, “5G: Vision and requirements for mobile communication system towards year 2020,” Chinese Journal of Engineering, 2016. [4] P. Tayyaba, S. Khan, and M. A. Shah, “5G cellular network integration with SDN: Challenges, issues and beyond,” 2017 International Conference on Communication, Computing and Digital Systems (C-CODE), 2017, doi: 10.1109/C-CODE.2017.7918900. [5] Costa-Requena, J., Santos, J. L., Guasch, V. F., Ahokas, K., Premsankar, G., Luukkainen, S. et al., “SDN and NFV integration in generalized mobile network architecture,” in 2015 European Conf. on. IEEE Networks and Commun. (EuCNC), 2015, pp. 154–158, doi: 10.1109/EuCNC.2015.7194059. [6] M. Dighriri, G. M. Lee, and T. Baker, “Applying scheduling mechanisms over 5G cellular network packets traffic,” Third International Congress on Information and Communication Technology, Singapore, 2019, doi: 10.1007/978-981-13-1165-9_11. [7] Vasudeva, K., Dikmese, S., Güvenç, I., Mehbodniya, A., Saad, W., and Adachi, F., “Fuzzy logic game-theoretic approach for energy efficient operation in hetnets,” 2017 IEEE International Conference on Communications Workshops (ICC Workshops), 2017, doi: 10.1109/ICCW.2017.7962716. [8] K. Alghamdi and R. Braun, “Software defined network (SDN) and OpenFlow protocol in 5G network,” Communications and Network, vol. 12, no. 01, 2020, Art. no. 28. [9] M. Joud, M. García-Lozano, and S. Ruiz, “User specific cell clustering to improve mobility robustness in 5G ultra- dense cellular networks,” in Proceeding of 14th Annual Conference on Wireless On-demand Network Systems and Services (WONS), Isola, 2018, pp. 45–50. [10] Lu, Y., Zhang, M., Song, C., Guan, L., Wang, D., Li, S., and Zhan, Y., “A Multi-Migration Seamless Handover Scheme for Vehicular Networks in Fog-based 5G Optical Front haul,” 24th Optoelectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), Fukuoka, Japan, 2019, pp.1–3, doi: 10.23919/PS.2019.8817683. [11] M. Tayyab, X. Gelabert, and R. Jäntti, “A Simulation Study on Handover in LTE Ultra-Small Cell Deployment: A 5G Challenge,” IEEE 2nd 5G World Forum (5GWF), Dresden, Germany, 2019, pp. 388–392. doi: 10.1109/5GWF.2019.8911616.
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