Publications by the members of CSE Department :Page: 1 of 1 »
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- pL4S: Design and Evaluation of Pluggable L4S to Enhance the Real-Time Network Performance.
Madhan Raj Kanagarathinam,
Jayendra Reddy Kovvuri,
Sandeep Irlanki,
Ankit Vakil,
Jong-Mu Choi,
Junhak Lim,
Krishna Moorthy Sivalingam
Appeared in
22nd IEEE Consumer Communications & Networking Conference, CCNC 2025, Las Vegas, NV, USA, January 10-13, 2025 (CCNC 2025),
Vol , No., pp.1-6, Jan 2025.
- Performance Evaluation of 5G Core Network Control-Plane Using Open5GS and Kubernetes.
Sooraj Subramanian M. S,
Madhan Raj Kanagarathinam,
Krishna Moorthy Sivalingam
Appeared in
17th International Conference on COMmunication Systems and NETworks, COMSNETS 2025, Bengaluru, India, January 6-10, 2025 (COMSNETS 2025),
Vol , No., pp.584-592, Jan 2025.
- Sparse Recurrent Neural Network Architecture for Turbo Decoding in NextGen Communication Systems.
Madhan Raj Kanagarathinam,
Swaraj Kumar,
Krishna Moorthy Sivalingam,
Richa Gaba
Appeared in
100th IEEE Vehicular Technology Conference, VTC Fall 2024, Washington, DC, USA, October 7-10, 2024,
Vol , No., pp.1-7, Oct 2024.
- Game Stabilizer: Enhancing Mobile Gaming with Intelligent Bandwidth Optimization.
Jayendra Reddy Kovvuri,
Madhan Raj Kanagarathinam,
Krishna Moorthy Sivalingam,
Sunghee Lee
Appeared in
IEEE International Conference on Communications, ICC 2024, Denver, CO, USA, June 9-13, 2024 (ICC 2024),
Vol , No., pp.764-769, Jun 2024.
- Stickyless: An Intelligent Method for Solving Sticky Client Problem in Wi-Fi Networks.
Kavin Kumar Thangadorai,
Krishna Moorthy Sivalingam,
Hari Prabhat Gupta,
Madhan Raj Kanagarathinam
Appeared in
IEEE Wireless Communications and Networking Conference, WCNC 2024, Dubai, United Arab Emirates, April 21-24, 2024 (WCNC 2024),
Vol , No., pp.1-6, Apr 2024.
- A Neural Network-Based Network Selection for QUIC to Enrich Gaming in NextGen Wireless Network.
- Application Prioritization Engine for Enhancing Real-Time Performance in Smartphones.
- QBOX - Policing Smartphone App Experience with Dynamic QoS Enhancement.
- The Band Selection Decision for 6GHz Using RSSI and Channel Utilization.
- Neural network Based tuning of the Initial Congestion Window of Thin-streamed Application Traffic.
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