A Self-Optimizing Technique Based on Vertical Handover for Load Balancing in Heterogeneous Wireless Networks Using Big Data Analytics
Abstract
:1. Introduction
1.1. Background and Problem Statement
1.2. Motivation
1.3. Our Contributions
- The problem of ensuring the effective functioning of a heterogeneous radio access network is formalized;
- The method of increasing the efficiency of functioning of heterogeneous mobile communication networks based on big data technology is developed;
- The realization of technologies for processing big data volumes, obtained by simulating the process of functioning of a heterogeneous network is carried out;
- The assessment of the effectiveness of the proposed solutions in relation to the optimization problem of the resources of a heterogeneous network of mobile communication is carried out.
2. Related Work
3. Proposed Solution
3.1. A Future Generation Heterogeneous Wireless Network Based on Big Data Analytics
- The network may redirect the UE to another network that has sufficient capacity to process its current communications;
- The network can also coordinate the mobility of all UEs so that total traffic is evenly distributed across all resources, congestion is minimized, and total bandwidth is maximized.
3.2. Radio Access Network Selection Optimization in Heterogeneous Wireless Networks
- Conditions on the mobile device side are required, that is, a number of conditions, constraints, and criteria are imposed on the choice of devices to perform and assign work operations. We denote all these requirements by the following:
- A number of requirements are imposed on the quality of functioning of a work operation:
3.3. A Self-Optimizing Technique Based on Vertical Handover for Load Balancing in HWN Using BD Analytics
- Calls as voice transmission over IP networks (Voice over IP);
- Digital Interactive Television (IPTV);
- Internet data (I), which includes uploading and downloading data from internet resources;
- Video conferencing (Conf);
- WEB.
- Throughputs (C);
- Probability of losses (Pv);
- Delay time (T);
- Jitter (dt).
4. Experimental Results
- Dynamic reservation of the number of sessions, which allows to evenly distribute the load from users (proposed method 1);
- Rejection of non-priority sessions to provide guaranteed quality of service to priority users (proposed method 2).
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Technology/Service | 2G | 3G | 4G | Wi-Fi | Cloud-RAN |
---|---|---|---|---|---|
Call | 1000 | 500 | 500 | 200 | 500 |
Conference | 0 | 100 | 200 | 150 | 400 |
IPTV | 0 | 50 | 100 | 150 | 200 |
Web | 0 | 50 | 100 | 100 | 200 |
Internet (download) | 0 | 50 | 100 | 150 | 200 |
Internet (upload) | 0 | 100 | 200 | 250 | 400 |
Service | Throughput (kbps) |
---|---|
Call | 64 |
Conference | 2048 |
IPTV | 4096 |
Web | 10,240 |
Internet (download) | 2048 |
Internet (upload) | 2048 |
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Beshley, M.; Kryvinska, N.; Yaremko, O.; Beshley, H. A Self-Optimizing Technique Based on Vertical Handover for Load Balancing in Heterogeneous Wireless Networks Using Big Data Analytics. Appl. Sci. 2021, 11, 4737. https://doi.org/10.3390/app11114737
Beshley M, Kryvinska N, Yaremko O, Beshley H. A Self-Optimizing Technique Based on Vertical Handover for Load Balancing in Heterogeneous Wireless Networks Using Big Data Analytics. Applied Sciences. 2021; 11(11):4737. https://doi.org/10.3390/app11114737
Chicago/Turabian StyleBeshley, Mykola, Natalia Kryvinska, Oleg Yaremko, and Halyna Beshley. 2021. "A Self-Optimizing Technique Based on Vertical Handover for Load Balancing in Heterogeneous Wireless Networks Using Big Data Analytics" Applied Sciences 11, no. 11: 4737. https://doi.org/10.3390/app11114737