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Network Lifetime Maximization and Penalty-Based Resource Allocation for Machine-to-Machine Communications in Long-Term Evolution (LTE) Networks


Hassan E. Al-Khateeb, Mostafa Y. Makkey and George Daoud

In this paper, we introduce uplink scheduling algorithms based on unique data to minimize energy consumption and to succeed data transmission sent by machine-type communication devices (MTCDs) on LTE networks when radio resources are limited. Important data carried by MTCDs are through a form of statistical data analysis termed statistical priority. The statistical priority is based on statistical attributes, such as exceeding a safety threshold, checking data similarity, and observing constant increasing or decreasing trends. The first suggested algorithm focuses on allocating radio resources based on a lifetime metric and controls transmission power to prolong the network lifetime. While the second suggested algorithm is based on a penalty metric. The simulation results show that the proposed algorithms achieve the highest operating lifetime extension on the network and the considerable success rate of sending important data (above 90%) in comparison to the existing MTC algorithm With Limited CSI for LTE.

Keywords: cellular IoT, m2m communications, LTE, resource allocation, statistical priority, battery lifetime.

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ABOUT THE AUTHORS

Hassan E. Al-Khateeb
received his B.Sc. degrees in electronic and communication engineering in 2008 from Baghdad University, Iraq. His research interests include energy and spectrally efficient wireless system design for 5G, Internet of Things and radio resource allocation. Hassan E. Al-Khateeb is currently a Network Engineering in COMSEC, since Jan 2010.

Mostafa Y. Makkey
received his B.Sc. and M.Sc degrees in electrical engineering in 1979 and 1982 respectively, both from Assiut University, Egypt. In 1987, he received Ph. D. degree from the University of Kent at Canterbury, UK and Assiut University (channel system). His research interests include switched-capacitor, optical and digital filters, biomedical and genomic signal processing, speech processing, and electronic systems. He has published more than 10 papers in national and international journals and conferences in the above fields. Professor Mostafa Y .Makkey is currently a Professor of Electronics and Communication Engineering, since 2005 also, he is the professor emeritus, Department of Electrical Engineering, Faculty of Engineering, Assiut University, since August 2017.

George Daoud
received his B.Sc. and M.Sc degrees in electrical engineering in 2004 and 2018 respectively, both from Assiut University, Egypt. His research interests include energy and spectrally efficient wireless system design for 5G, Internet of Things, radio resource and embedded system implementation. George Daoud is currently a Demonstrator, Department of Electrical Engineering, Faculty of Engineering, Assiut University , since 2004.


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