Improved Resource Scheduler using Kalman Filter in Wireless Communication

Improved Resource Scheduler using Kalman Filter in Wireless Communication
  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-2
Year of Publication : 2023
Author : Anita Kulkarni, K. Sridevi
DOI : 10.14445/22315381/IJETT-V71I2P216

How to Cite?

Anita Kulkarni, K. Sridevi, "Improved Resource Scheduler using Kalman Filter in Wireless Communication," International Journal of Engineering Trends and Technology, vol. 71, no. 2, pp. 129-136, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I2P216

Abstract
Adaptive resource allocation is a major part of the current wireless communication system. Resource allocation in Communication means data rate allocation, Power allocation, Bandwidth allocation and so on to the user. Resource Allocation controls the offered service and dynamically supports multiple resources based on the traffic model, service demand and mode of communication. The optimal allocation of resources offers maximization of system performance and less resource wastage. If all the users in the network communicate with the maximum data rate, there is a probability of high collision in the channel. Based on the volume of the data exchanged over the channel, interference may be effective; hence, to overcome this, resource or data rate or bandwidth is allocated based on the interference. The current filtration-based approach shows a significant improvement in data accuracy and delays minimization. However, dynamic interference due to channel variation is not considered. The time-variant nature of the channel has a greater impact on the allocation of resources. Hence, a new allocation approach based on the Kalman filter with interference governance is proposed. The presented approach, called Improved Kalman Control, is the controlling of data rate under multiple users scenario and illustrates an improvement in the system performance under dynamic channel conditions.

Keywords
Improved resource scheduler, Kalman filter, Wireless communication, Resource allocation.

References
[1] Haeyoung Lee, Seiamak Vahid, and Klaus Moessner, "Traffic-Aware Carrier Allocation with Aggregation for Load Balancing," 2017 European Conference on Networks and Communications (EUCNC), pp. 1-6, 2017. Crossref, https://doi.org/10.1109/EuCNC.2017.798074
[2] Franceso Gringoli, and Douglas J. Leith, "Low Delay Rate Allocation in WLANs Using Aggregation,” Arxiv Preprint Arxiv:1806.07761 2018.
[3] Binnan Zhuang et al., “Scalable Spectrum Allocation and User Association in Networks with Many Small Cells,” IEEE Transactions on Communications, vol. 65, no. 7, pp. 2931-2942, 2017. Crossref, https://doi.org/10.1109/TCOMM.2017.2692220
[4] David Miras et al., “A High Data Rate Lifi Integrated System with Inter-Cell Interference Management,” 2018 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6, 2018. Crossref, https://doi.org/10.1109/WCNC.2018.8377249
[5] Xiaoda Jiang, and Hancheng Lu, “Joint Rate and Resource Allocation in Hybrid Digital–Analog Transmission Over Fading Channels,” IEEE Transactions on Vehicular Technology, vol. 67, no. 10, pp. 9528-9541, 2018.
[6] Yashuang Guo et al., “Dynamic Quality Adaptation and Bandwidth Allocation for Adaptive Streaming Over Time-Varying Wireless Networks,” IEEE Transactions on Wireless Communications, vol.16, no. 12, pp. 8077-8091, 2017. Crossref, https://doi.org/10.1109/TWC.2017.2756887
[7] Hammad Hassan et al., “H. 264 Encoder Parameter Optimization for Encoded Wireless Multimedia Transmissions,” IEEE Access, vol. 6, pp. 22046-22053, 2018.
[8] Lei Chen et al., “A Lightweight End-Side User Experience Data Collection System for Quality Evaluation of Multimedia Communications,” IEEE Access, vol. 6, pp. 15408-15419, 2018. Crossref, https://doi.org/10.1109/ACCESS.2018.2794354
[9] Ketulkumar Chaudhari Govindbhai, “Analysis on Transport Layer Protocols and Its Developments,” International Journal of Innovative Research in Computer and Communication Engineering, vol. 6, no. 9, pp. 7707-7712, 2018. Crossref, https://dx.doi.org/10.2139/ssrn.3729064
[10] Yurino Sato, Hiroyuki Koga, and Takeshi Ikenaga, “Improving TCP Throughput Using Forward Error Correction,” IEICE Communications Express, vol. 6, no. 1, pp. 28-33, 2017. Crossref, https://doi.org/10.1587/comex.2016XBL0158
[11] Marco Berghoff, and Ivan Kondov, “Noncollective Scalable Global Network Based on Local Communications,” 2018 IEEE/ACM 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), pp. 25-32, 2018. Crossref, https://doi.org/10.1109/ScalA.2018.00007
[12] Ashish Patil et al., “Transmit Data Rate Control Based Decentralized Congestion Control Mechanism for VANETs,” 2019 International Conference on Data Science and Communication (IconDSC), pp. 1-5, 2019. Crossref, https://doi.org/10.1109/IconDSC.2019.8816902
[13] Huong T.M. Nguyen, "Using Extended Kalman Filter To Observe State Parameters of the Twin Rotor MIMO System in Order to Install Model Predictive Control Algorithm Based Phisical Model," SSRG International Journal of Electrical and Electronics Engineering, vol. 4, no. 12, pp. 1-7, 2017. Crossref, https://doi.org/10.14445/23488379/IJEEE-V4I12P101
[14] Mohammad Lari, “Transmission Delay Minimization in Wireless Powered Communication Systems,” Wireless Networks, vol. 25, no. 3, pp. 1415-1430, 2019. Crossref, https://doi.org/10.1007/s11276-018-1778-0
[15] Feng Shan et al., “Delay Minimization for Data Transmission in Wireless Power Transfer Systems,” IEEE Journal on Selected Areas in Communications, vol. 37, no. 2, pp. 298-312, 2019. Crossref, https://doi.org/10.1109/JSAC.2018.2872395
[16] Qian Wang, “Qos-Based Optimal Resource Allocation for Multimedia Transmission in Wireless Networks,” International Journal of Communications, Network and System Sciences, vol. 10, no. 05, pp. 292, 2017. Crossref, https://doi.org/10.4236/ijcns.2017.105B029
[17] Songyang Zhang et al., “Congestion Control and Packet Scheduling for Multipath Real Time Video Streaming,” IEEE Access, vol. 7 pp. 59758-59770, 2019. Crossref,https://doi.org/10.1109/ACCESS.2019.2913902
[18] Nishant Jakhar, and Rainu Nandal, "Load and Delay Effective Based Resource Allocation and Scheduling Model to Optimize Power Distribution in Smart Grid Network," International Journal of Engineering Trends and Technology, vol. 70, no. 12, pp. 67-75, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I12P208
[19] Michal Yemini, Elza Erkip, and Andrea J. Goldsmith, “Interference Reduction in Virtual Cell Optimization,” 55th Asilomar Conference on Signals, Systems, and Computers, 2021. Crossref, https://doi.org/10.1109/IEEECONF53345.2021.9723136
[20] Shirani, Farhad, and S. Sandeep Pradhan, “A New Achievable Rate-Distortion Region for Distributed Source Coding,” Arxiv Preprint, 2019. Crossref, https://doi.org/10.48550/arXiv.1906.08810
[21] Márcio José Teixeira, and Varese Salvador Timóteo, “Using a Kalman Filter to Improve Schedulers Performance in Mobile Networks,” 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 853-858, 2019. Crossref, https://doi.org/10.1109/IWCMC.2019.8766610
[22] Lindong Zhao et al., “Radio Resource Allocation for Integrated Sensing, Communication, and Computation Networks,” IEEE Transactions on Wireless Communications, vol. 21, no. 10, pp. 8675 – 8687, 2022. Crossref, https://doi.org/10.1109/TWC.2022.3168348
[23] P.Ganeshan, and D.Prasanna, “An Intelligent Scheduling for Network Traffic Management System in Congestion Control Using GA,” SSRG International Journal of Electronics and Communication Engineering, vol. 1, no. 1, pp. 15-16, 2014. Crossref, https://doi.org/10.14445/23488549/IJECE-V1I1P104
[24] Shahzeb Hussain, Namrata Bhadri, and Md. Shaayan Hussain, "Advancements in Wireless Communication," SSRG International Journal of Electronics and Communication Engineering, vol. 7, no. 9, pp. 1-4, 2020. Crossref, https://doi.org/10.14445/23488549/IJECE-V7I9P101
[25] G. G. Md. Nawaz Ali et al., “Victor CS Lee, Peter HJ Chong, Yong Liang Guan, and Jun Chen, “Towards Efficient and Scalable Implementation for Coding-Based on-Demand Data Broadcast,” Computer Networks, vol. 154, pp. 88-104, 2019. Crossref, https://doi.org/10.1016/j.comnet.2019.02.012
[26] Mick V Koch, and Joseph A. Downey, “Interference Mitigation Using Cyclic Autocorrelation and Multi-Objective Optimization,” 2019.