Data aggregation is a promising approach to enable massive machine-type communication. This paper focuses on the aggregation phase where a massive number of machinetype devices (MTDs) transmit to aggregators. By using nonorthogonal multiple access (NOMA) principles, we allow several MTDs to share the same orthogonal channel in our proposed hybrid access scheme. We develop an analytical framework based on stochastic geometry to investigate the system performance in terms of average success probability and average number of simultaneously served MTDs, under imperfect successive interference cancellation (SIC) at the aggregators, for two scheduling schemes: random resource scheduling and channel-aware resource scheduling (CRS). We identify the power constraints on the MTDs sharing the same channel to attain a fair coexistence with purely orthogonal multiple access (OMA) setups. Then, power control coefficients are found, so that these MTDs perform with similar reliability. We show that under high access demand, the hybrid scheme with CRS outperforms the OMA setup by simultaneously serving more MTDs with reduced power consumption. From 2013 to 2015, he served as a Specialist in telematics with Cuban telecommunication company ETECSA. His research interests are on wireless communications, specifically in ultra-reliable, low latency communications for future networks, energy harvesting setups, and efficient access techniques for massive machine-type communications. Hirley Alves received the B.Sc. and M.Sc. degrees in electrical engineering from the Federal University of Technology-Paraná (UTFPR), Brazil, in 2010 and 2011, respectively, and the dual D.Sc. degree from the University of Oulu and UTFPR in 2015. He has been an Adjunct Professor of machine-type wireless communications with the Centre for Wireless Communications, University of Oulu, Oulu, Finland, since 2017. He is actively involved in massive connectivity and ultra-reliable low latency communications. His research interests include wireless and cooperative communications, wireless full-duplex communications, PHY-security and ultra-reliable communications mechanisms for future machine type wireless networks. He has acted as an organizer, the chair, and serves a TPC member and a tutorial lecturer for several renowned international conferences. and also an Adjunct Professor (docent) in information processing and communication strategies for energy systems with the Centre for Wireless Communications, University of Oulu. Matti Latva-aho was born in Kuivaniemi, Finland, in 1968. He received the M.Sc., Lic.Tech., and Dr. Tech (Hons.) degrees in electrical engineering from the University
Additionally, authors in REF proposes and evaluate NOMA as a massive-MTC enabler technology in data aggregation networks, while identifying the power constraints on the devices sharing the same channel in order to attain a fair coexistence with purely OMA setups.
Aggregation and Resource Scheduling in Machine-Type Communication Networks: A Stochastic Geometry Approach
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Mathematics Computer Science