%0 Journal Article %1 khatri2020performance %A Khatri, Bir Bahadur %A Ahammad, Bulbul %A Islam, Md. Mezbahul %A Rubaiat, Rahmina %A Islam, Md. Imdadul %D 2020 %J International Journal of Computer Science & Information Technology (IJCSIT) %K Aggregate RB and blocking channel graph offered probability traffic weighted %N 4 %P 68 - 79 %R 10.5121/ijcsit.2020.12406 67 %T Performance Evaluation of LTE Network using Maximum Flow Algorithm %U http://airccse.org/journal/ijcsit2020_curr.html %V 12 %X In this paper, we propose a new traffic flow model of the Long Term Evaluation (LTE) network for the Evolved Universal Terrestrial Radio Access Network (E-UTRAN). Here only one Evolve Node B (eNB) nearest to the Mobility Management Entity (MME) and Serving Gateway (S-GW) will use the S1 link to bridge the E-UTRAN and Evolved Packet Core (EPC). All the eNBs of a tracking area will be connected to each other by the X2 link. Determination of capacity of a links of such a network is a challenging job since each node offers its own traffic and at the same time conveys traffic of other nodes. In this paper, we apply maximum flow algorithm including superposition theorem to solve the traffic flow of radio network. Using the total flow per subcarrier, a new traffic model is also developed in the paper. The relation among the traffic parameters: ‘blocking probability’, ‘offered traffic’, ‘instantaneous capacity’, ‘average holding time’, and ‘number of users’ are shown graphically under both QPSK and 16-QAM. The concept of the network will be helpful to improve the SINR of the received signal ofeNBslocated long distance relative to MME/S-GW.

@article{khatri2020performance, abstract = {In this paper, we propose a new traffic flow model of the Long Term Evaluation (LTE) network for the Evolved Universal Terrestrial Radio Access Network (E-UTRAN). Here only one Evolve Node B (eNB) nearest to the Mobility Management Entity (MME) and Serving Gateway (S-GW) will use the S1 link to bridge the E-UTRAN and Evolved Packet Core (EPC). All the eNBs of a tracking area will be connected to each other by the X2 link. Determination of capacity of a links of such a network is a challenging job since each node offers its own traffic and at the same time conveys traffic of other nodes. In this paper, we apply maximum flow algorithm including superposition theorem to solve the traffic flow of radio network. Using the total flow per subcarrier, a new traffic model is also developed in the paper. The relation among the traffic parameters: ‘blocking probability’, ‘offered traffic’, ‘instantaneous capacity’, ‘average holding time’, and ‘number of users’ are shown graphically under both QPSK and 16-QAM. The concept of the network will be helpful to improve the SINR of the received signal ofeNBslocated long distance relative to MME/S-GW. }, added-at = {2020-10-06T09:06:57.000+0200}, author = {Khatri, Bir Bahadur and Ahammad, Bulbul and Islam, Md. Mezbahul and Rubaiat, Rahmina and Islam, Md. Imdadul}, biburl = {https://www.bibsonomy.org/bibtex/2c9755760fb3597deedd4a2384f69d557/shamerjose}, doi = {10.5121/ijcsit.2020.12406 67}, interhash = {7a93acff43d5edbebf2d1b79ef1d5a47}, intrahash = {c9755760fb3597deedd4a2384f69d557}, journal = {International Journal of Computer Science & Information Technology (IJCSIT) }, keywords = {Aggregate RB and blocking channel graph offered probability traffic weighted}, month = {August}, number = 4, pages = {68 - 79}, timestamp = {2020-10-06T09:06:57.000+0200}, title = {Performance Evaluation of LTE Network using Maximum Flow Algorithm}, url = {http://airccse.org/journal/ijcsit2020_curr.html}, volume = 12, year = 2020 }