Congestion Control In Cellular Network Using Dynamic Channel Allocation Technique For Improved Performance

AKUNNA KENNETH CHIDOZIE | 35 pages (15123 words) | Theses

ABSTRACT

The great challenge of the remarkably growing demand for personal communication mobile service has actively motivated different Telephone Telecommunication Company to adopt various techniques in order to substantially improve its network capacity. An efficient allocation strategy of communication channels that could ensure good performance of the cellular network is critically needed, given the limited spectrum currently available that uses the Fixed Channel Allocation (FCA) strategy. Therefore, the aim of this research work is congestion control in cellular network using Distributed Dynamic Channel Allocation technique for improved performance. In this study, experimental investigations were conducted to improve a particular site in the choice of environment (9Mobile) by proposing the evaluation of the adoption of the Channel Allocator Distributed Dynamic Channel Allocation (CA – DDCA) technique. The main reasons for proposing the adoption of the CA – DDCA technique are; to minimize the call blocking probability, to minimize call dropping probability, enhancing the network performance and increasing the number of network subscribers. This work has been done by applying actual data from an existing cellular network of 9Mobile network Company formally known as Etisalat in to the experimental simulation program known as model using MATLAB R2007b. The results demonstrated clearly that the more number of Channel Allocator used in a particular network the higher congestion control that occurs in that network. The results got from the developed SIMULINK model shows clearly that when 1 CA is used the maximum or peak value of congestion is 0.5, when 2 CAs are used the congestion peak reduced to 0.25 which also reduced further to 0.17 when 3 CAs are used. This shows very clearly that the congestion in the developed model was reduced by more than 50%, of which the impact of the reduced traffic in the network will increase the quality of service of that network

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APA

AKUNNA, C (2022). Congestion Control In Cellular Network Using Dynamic Channel Allocation Technique For Improved Performance. Mouau.afribary.org: Retrieved Nov 23, 2024, from https://repository.mouau.edu.ng/work/view/congestion-control-in-cellular-network-using-dynamic-channel-allocation-technique-for-improved-performance-7-2

MLA 8th

CHIDOZIE, AKUNNA. "Congestion Control In Cellular Network Using Dynamic Channel Allocation Technique For Improved Performance" Mouau.afribary.org. Mouau.afribary.org, 17 Nov. 2022, https://repository.mouau.edu.ng/work/view/congestion-control-in-cellular-network-using-dynamic-channel-allocation-technique-for-improved-performance-7-2. Accessed 23 Nov. 2024.

MLA7

CHIDOZIE, AKUNNA. "Congestion Control In Cellular Network Using Dynamic Channel Allocation Technique For Improved Performance". Mouau.afribary.org, Mouau.afribary.org, 17 Nov. 2022. Web. 23 Nov. 2024. < https://repository.mouau.edu.ng/work/view/congestion-control-in-cellular-network-using-dynamic-channel-allocation-technique-for-improved-performance-7-2 >.

Chicago

CHIDOZIE, AKUNNA. "Congestion Control In Cellular Network Using Dynamic Channel Allocation Technique For Improved Performance" Mouau.afribary.org (2022). Accessed 23 Nov. 2024. https://repository.mouau.edu.ng/work/view/congestion-control-in-cellular-network-using-dynamic-channel-allocation-technique-for-improved-performance-7-2

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