Improving the Energy Efficiency of the Random Access Procedure of the LTE-Advanced Standard for Machine-to-Machine Communications

Project supported by TUBITAK with agreement number 115E459.

Principal Investigator: Mehmet Koseoglu


Technological advances such as Internet of things, smart home/grid/city will result in the widespread adoption of many smart devices as a part of the daily lives of people. Several studies state that there will be 50 billion smart devices connected to the Internet at the year 2020. Hence, machine-to-machine communications –communication between autonomous devices without human intervention- will become more widespread and number of machines communicating with each other will exceed the number of people communicating with each other in the near future. The traffic generated by autonomous devices has different requirements from the human generated traffic and the communication infrastructure which is already designed for human generated traffic has to be reevaluated and redesigned.

Besides, the energy consumption of these devices should be minimal. People can charge their smart phones everyday but the autonomous devices has to work without recharging for years. For that reason, their energy constraints are much more severe than the wireless devices which are currently in use. Considering that the energy consumed for wireless communications is a significant part of the whole energy consumption of these devices, it is very important to consider energy efficiency in designing new machine-to-machine communications techniques.

LTE and LTE-Advanced are becoming more and more widespread as the fourth generation communications standard; therefore, these protocols are the strongest candidates for providing the infrastructure for machine-to-machine communications.  For that reason, it is very crucial to evaluate and improve the performance of the LTE-A standard in the context of machine-to-machine communications. There is a growing interest in improving the performance of LTE-A standard under machine generated traffic among both the industrial consortiums like 3GPP and the academic community.

In this project, we will investigate the energy efficiency of the random access channel which is shared by the nodes during their first channel access in the LTE and LTE-A standard. Previous studies on this random access channel consider only the delay experienced by the nodes during their first channel access and they overlooked the energy efficiency problem. For that reason, studies conducted during this research project will contribute significantly to the literature and will improve the energy efficiency of the smart devices which are becoming more and more widespread.

In this project, we will first analyze the energy consumption of the LTE-A random access channel using mathematical tools. We will show the mathematical relationship between the energy efficiency and the other performance criteria like delay and successful channel access probability. We will evaluate the performance of the proposed analysis using the traffic models used in the machine-to-machine communications literature. Besides, we will investigate effect of different LTE random access configurations on the energy consumption.

Using these analyses, we will propose methods to improve the energy efficiency of random access channel of the LTE-A. We will compare these methods against the state-of-the-art methods and we will show that it is possible to reduce energy consumption significantly. Also, we will present a multi-dimensional evaluation of the proposed methods by assessing the proposed methods using other performance criteria such as delay.

The proposed study will contribute to the literature significantly by investigating the energy efficiency in the context of machine to machine communications. Previous studies mostly ignored the energy efficiency of the random access of the LTE-A protocol; hence, the proposed study will provide an important contribution to the literature.


M. Koseoglu, "Pricing-based Load Control of M2M Traffic for the LTE-A Random Access Channel", IEEE Transactions on Communications, vol. 65, no. 3, pp. 1353-1365, Mar. 2017. PDF

M. Koseoglu, "Lower Bounds on the LTE-A Average Random Access Delay under Massive M2M Arrivals", IEEE Transactions on Communications, vol. 64, no. 5, pp. 2104-2115, May 2016. PDF

M. Koseoglu, "Performance Analysis of Small Data Transmission Schemes for Cellular M2M Communications", 16th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), Budva, Montenegro, 2017

M. Koseoglu, “Smart Pricing for Service Differentiation and Load Control of the LTE-A IoT System,” IEEE World Forum on Internet of Things, Milan, Italy, 2015. DOI.