An Adaptive User Scheduling Algorithm for 6G
Massive MIMO Systems
Robin Chataut*, Robert Akl***School of Computing and Engineering, Quinnipiac University, Hamden, CT, 06518, USA**College of Engineering, University of North Texas, Denton, Texas, 76207, USA
robin.chataut@quinnipiac.edu, Robert.Akl@unt.edu

Abstract— Massive MIMO (Multiple-Input Multiple-Output) is a promising wireless access technology that has emerged as asolution to the ever-increasing demand for network capacity. Massive MIMO is expected to play a crucial role in the deployment of5G and upcoming 6G networks, enabling the realization of their full potential capacity. Despite the numerous benefits, userscheduling during downlink communication in Massive MIMO systems is a challenging task due to the large number of antenna
terminals. In this paper, we propose a novel scheduling algorithm aimed at improving the area throughput, sum capacity, error
performance, and ensuring fairness among all users. The proposed algorithm uses the average channel rate as the scheduling criteria,
which is calculated from the channel state information obtained from the users during uplink transmission. To evaluate theperformance of our proposed algorithm, we conducted simulations using Matlab. Our results demonstrate that our proposed channel
rate-based scheduling algorithm is superior to conventional scheduling algorithms in terms of sumrate, throughput, and bit error
performance while also ensuring fairness among all users. The proposed algorithm can address the challenge of user scheduling in
Massive
MIMO systems and contribute to the efficient deployment of 5G and 6G networks. The ability to improve system capacity, area
throughput, and provide fairness in communication is of great importance in meeting the high demands of future wireless networks.
Our approach could pave the way for further research in improving the performance of Massive MIMO systems, thereby advancing
the potential of 5G and 6G networks.
Keywords—Massive MIMO, 5G, 6G, user scheduling, sumrate, fairness
Robin Chataut is an assistant professor in the School of Computing and Engineering at Quinnipiac University, USA. He obtained his
undergraduate degree in Electronics and Communication Engineering from Pulchowk Campus, Tribhuvan University, Nepal in 2014, and hisPh.D. in Computer Science and Engineering from the University of North Texas, Texas, USA, in 2020. Prior to completing his Ph.D., heworked in software industry as senior software developer.
His research interests are in the areas of wireless communication and networks, cybersecurity, 5G, 6G, and beyond networks, vehicularcommunication, smart cities, Internet of Things, wireless sensor networks, and network security. He has designed, implemented, andoptimized several algorithms and hardware architectures for precoding, detection, user scheduling, channel estimation, and pilot
contamination mitigation for massive MIMO systems for 5G and beyond networks. He has authored and co-authored several research articles.
He is an active reviewer in several international scientific journals and conferences.

Robert Akl received his B.S. in Computer Science and B.S. in Electrical Engineering in 1994, his M.S. in Electrical Engineering in 1996,
and his D.Sc. in Electrical Engineering in 2000, all from Washington University in Saint Louis. He is currently a Tenured Associate
Professor at the University of North Texas and a Senior Member of IEEE. He has designed, implemented, and optimized both hardware andsoftware aspects of several wireless communication systems for cellular, Wi-Fi, and sensor networks.
Dr. Akl has broad expertise in wireless communication, Bluetooth, Cellular, Wi-Fi, VoIP, telephony, computer architecture, and computernetworks. He has been awarded many research grants by leading companies in the industry and the National Science Foundation. He hasdeveloped and taught over 100 courses in his field. Dr. Akl has received several awards and commendation for his work, including the 2008
IEEE Professionalism Award and was the winner of the 2010 Tech Titan of the Future Award.