%0 Journal Article %1 abassperformance %A Abass, Sahar Bashir %A Ahmed, Samah Fageer %A Makki, Shimaa Hyder %A Osman, Niemah Izzeldin %D 2021 %J International Journal of Computer Science and Information Technology (IJCSIT) %K Chain Delay Evaluation Handover Markov Performance Queue Vertical %N 1/2 %P 01 - 15 %R 10.5121/ijngn.2018.10201 %T Performance Evaluation of Vertical Hard Handovers in Cellular Mobile Systems %U http://www.airccse.org/journal/ijngn/current2018.html %V 10 %X With the rapid increase of new and diverse cellular mobile services, the overlapping of cells has become typical in the majority of the coverage area of the network. Vertical handovers occur between two layers of cells when a user is switched from one layer to the other. In this paper we investigate the influence of network parameters on vertical hard handover performance in a cell environment. The work considers two layers of cells: a layer of macrocells and a layer of microcells. Handover requests enter the macrocell from neighbor macrocells and from microcells that belong to a different layer. Using Markov chain analysis and simulation we calculate network performance parameters such as mean queue delay, handover dropping probability and channel utilization. We also compare the handover performance for the macrocell and macrocell traffic separately. Our results show the influence of total channels, maximum queue size and handover request arrival rate on handover performance. They also show that when the traffic from each layer is treated with equal priority in the system, the performance of each layer is comparable.

@article{abassperformance, abstract = {With the rapid increase of new and diverse cellular mobile services, the overlapping of cells has become typical in the majority of the coverage area of the network. Vertical handovers occur between two layers of cells when a user is switched from one layer to the other. In this paper we investigate the influence of network parameters on vertical hard handover performance in a cell environment. The work considers two layers of cells: a layer of macrocells and a layer of microcells. Handover requests enter the macrocell from neighbor macrocells and from microcells that belong to a different layer. Using Markov chain analysis and simulation we calculate network performance parameters such as mean queue delay, handover dropping probability and channel utilization. We also compare the handover performance for the macrocell and macrocell traffic separately. Our results show the influence of total channels, maximum queue size and handover request arrival rate on handover performance. They also show that when the traffic from each layer is treated with equal priority in the system, the performance of each layer is comparable. }, added-at = {2021-05-13T08:53:47.000+0200}, author = {Abass, Sahar Bashir and Ahmed, Samah Fageer and Makki, Shimaa Hyder and Osman, Niemah Izzeldin}, biburl = {https://www.bibsonomy.org/bibtex/2801485d8d3260006b980da0bcd0f15c0/josephjonse}, doi = {10.5121/ijngn.2018.10201}, interhash = {4f1d786a520fa57bf5ae625080c9b57b}, intrahash = {801485d8d3260006b980da0bcd0f15c0}, journal = { International Journal of Computer Science and Information Technology (IJCSIT)}, keywords = {Chain Delay Evaluation Handover Markov Performance Queue Vertical}, month = {June}, number = {1/2}, pages = {01 - 15}, timestamp = {2021-05-13T08:53:47.000+0200}, title = {Performance Evaluation of Vertical Hard Handovers in Cellular Mobile Systems}, url = {http://www.airccse.org/journal/ijngn/current2018.html}, volume = 10, year = 2021 }