KRAFT: Kalman Filter based Energy-aware LTE and Wi-Fi Joint Throughput Optimization
S. Suganya1, Sumit Maheshwari2, C. Ramesh3

1S. Suganya, Department of Electronics and Communication Engineering, CMR Institute of Technology, Bangalore (Karnataka), India.
2Sumit Maheshwari, Department of Electrical and Computer Engineering, Rutgers University, New Jersey, USA.
3C. Ramesh, Department of Electronics and Communication Engineering, CMR Institute of Technology, Bangalore (Karnataka), India.
Manuscript received on 10 October 2019 | Revised Manuscript received on 19 October 2019 | Manuscript Published on 02 November 2019 | PP: 24-30 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B10050982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1005.0982S1119
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Abstract: Resource block allocation in LTE is a complex metric consisting of available bandwidth, required data rate and channel state conditions. A Wi-Fi access point, co-operating with LTE eNB can service a single User Equipment (UE) through multiple interfaces (multihoming) for improving throughput. The challenge is to inter-operate the greedy LTE scheduler with deferral-based Wi-Fi band allocation. A joint scheduling therefore is a complex problem requiring a robust estimation method which not only optimize per-user throughput but also can support a minimum average system throughput condition. Kalman filter provides resource prediction while minimizing the mean square error. In this paper, we propose KRAFT, a novel LTE and Wi-Fi joint scheduler using Kalman filter. We periodically measure the discrete SINR values, available bandwidth and resource requirements to predict the system throughput optimized scheduling among Wi-Fi and LTE networks. Also, an energy-aware scheduling algorithm is proposed as a tie breaker between all the other approaches.
Keywords: Kalman Filter, Wi-Fi, LTE, Throughput Optimization.
Scope of the Article: Cross Layer Design and Optimization