Handover and Call Drop Optimization

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Pa Malick Badjie
Pa Malick Badjie
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Goueye Bi Vanie
Goueye Bi Vanie

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Handover and Call Drop Optimization

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Abstract

Optimization initiatives generally include leveraging technologies and optimizing existing network systems for the purpose of quality of service (QoS) implementation, redundant data elimination, data compression, improved application delivery, traffic shaping to reduce packet loss. This article aims to meet the requirements by on-site engineers on solving handover and call drop problems. The challenges faced by telecommunications companies remains a menace and a huge problem for the Gambia and the world at large. The researchers have done some tremendous work in this branch of wireless communications, unfortunately, it still remains unraveled. Relatively, handover is closely very linked to call drop. Handover failure probably leads to call drop and therefore handover-caused call drop is arranged in handover success rate optimization. This paper describes the methods for evaluating network handover and call drop performance, testing and troubleshooting methods.

References

6 Cites in Article
  1. D Sarddar (2010). Mininization of Handoff Latency by Angular Displacement Method Using GPS Based Map.
  2. M Li,M Claypool,R Kinicki (2008). Wbest: A bandwidth estimation tool for IEEE 802.11 wireless networks.
  3. Pa Malick Badjie,K Lokesh Krishna,Sreeza Tarafder,Pappu Singha (2018). Patient Healthcare Monitoring system for Emergency Situations.
  4. S Ramanath,V Kavitha,E Altman (2010). Impact of mobility on call block, call drop and optimal cell size in small cell networks.
  5. G Harine,R Marie,R Puigjaner,K Trivedi (2001). Loss formulas and their application to optimization for cellular networks.
  6. G Boggia,P Camarda,A D'alconzo,A De Biasi,M Siviero (2005). Drop Call Probability in Established Cellular Networks: from data Analysis to Modelling.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Pa Malick Badjie. 2026. \u201cHandover and Call Drop Optimization\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 22 (GJRE Volume 22 Issue F1): .

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Smart network management for improved call quality and reduced drop rates.
Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-F Classification: FOR Code: 290901
Version of record

v1.2

Issue date

February 9, 2022

Language
en
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Published Article

Optimization initiatives generally include leveraging technologies and optimizing existing network systems for the purpose of quality of service (QoS) implementation, redundant data elimination, data compression, improved application delivery, traffic shaping to reduce packet loss. This article aims to meet the requirements by on-site engineers on solving handover and call drop problems. The challenges faced by telecommunications companies remains a menace and a huge problem for the Gambia and the world at large. The researchers have done some tremendous work in this branch of wireless communications, unfortunately, it still remains unraveled. Relatively, handover is closely very linked to call drop. Handover failure probably leads to call drop and therefore handover-caused call drop is arranged in handover success rate optimization. This paper describes the methods for evaluating network handover and call drop performance, testing and troubleshooting methods.

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Handover and Call Drop Optimization

Pa Malick Badjie
Pa Malick Badjie
Goueye Bi Vanie
Goueye Bi Vanie

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