TY - GEN
T1 - SDN Based Mobile Data Offloading Scheme Using LTE and WiFi Networks
AU - Kamath, Santhosh
AU - Singh, Sanjay
AU - Kumar, M. Sathish
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The exponential growth of the smartphone and new applications are significant challenges for the network provider to maintain the user's QoS. With the availability of multiple radio interfaces in the smartphone, simultaneous data transmission on both LTE and WiFi gained attention for cost-effective data offloading, which aggregates the spectrum from both LTE and WiFi called Heterogeneous network (HetNet). To further explore the advantages of data offloading in HetNet, we propose a multipath-based algorithm to maintain a minimum data rate for a given application. Accurately predicting wireless channel quality and its variations is necessary for several networking applications, such as improved video streaming over LTE networks and scheduling. We also consider the effect of channel quality by using LSTM considering Received signal strength indicator (RSSI) as a parameter in maintaining minimum required throughput of video application. We take advantage of Software-Defined Networking (SDN) in the data offloading scheme for multipath in LTE-WiFi integrated network. The performance is compared with the state-of-the-art method for average throughput, and overall 78% improved result in overall throughput is observed using our approach.
AB - The exponential growth of the smartphone and new applications are significant challenges for the network provider to maintain the user's QoS. With the availability of multiple radio interfaces in the smartphone, simultaneous data transmission on both LTE and WiFi gained attention for cost-effective data offloading, which aggregates the spectrum from both LTE and WiFi called Heterogeneous network (HetNet). To further explore the advantages of data offloading in HetNet, we propose a multipath-based algorithm to maintain a minimum data rate for a given application. Accurately predicting wireless channel quality and its variations is necessary for several networking applications, such as improved video streaming over LTE networks and scheduling. We also consider the effect of channel quality by using LSTM considering Received signal strength indicator (RSSI) as a parameter in maintaining minimum required throughput of video application. We take advantage of Software-Defined Networking (SDN) in the data offloading scheme for multipath in LTE-WiFi integrated network. The performance is compared with the state-of-the-art method for average throughput, and overall 78% improved result in overall throughput is observed using our approach.
UR - http://www.scopus.com/inward/record.url?scp=85142362249&partnerID=8YFLogxK
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U2 - 10.1109/ANTS52808.2021.9936935
DO - 10.1109/ANTS52808.2021.9936935
M3 - Conference contribution
AN - SCOPUS:85142362249
T3 - International Symposium on Advanced Networks and Telecommunication Systems, ANTS
SP - 1
EP - 6
BT - 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2021
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2021
Y2 - 13 December 2021 through 16 December 2021
ER -