On the Fundamental Limits of Random Non-orthogonal Multiple Access in Cellular Massive IoT

Abstract

Machine-to-machine (M2M) constitutes the communication paradigm at the basis of Internet of Things (IoT) vision. M2M solutions allow billions of multi-role devices to communicate with each other or with the underlying data transport infrastructure without, or with minimal, human intervention. Current solutions for wireless transmissions originally designed for human-based applications thus require a substantial shift to cope with the capacity issues in managing a huge amount of M2M devices. In this paper, we consider the multiple access techniques as promising solutions to support a large number of devices in cellular systems with limited radio resources. We focus on non-orthogonal multiple access (NOMA) where, with the aim to increase the channel efficiency, the devices share the same radio resources for their data transmission. This has been shown to provide optimal throughput from an information theoretic point of view.We consider a realistic system model and characterise the system performance in terms of throughput and energy efficiency in a NOMA scenario with a random packet arrival model, where we also derive the stability condition for the system to guarantee the performance.

arXiv commentTo appear in IEEE JSAC Special Issue on Non-Orthogonal Multiple Access for 5G Systems

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Cited by in corpus (6)

• Short-Packet Downlink Transmission with Non-Orthogonal Multiple Access
• Energy Efficient Resource Allocation in Machine-to-Machine Communications with Multiple Access and Energy Harvesting for IoT
• Energy-Efficient Joint User-RB Association and Power Allocation for Uplink Hybrid NOMA-OMA
• Modeling, Analysis, and Optimization of Grant-Free NOMA in Massive MTC via Stochastic Geometry
• Design of Non-Orthogonal Beamspace Multiple Access for Cellular Internet-of-Things
• Performance of Non-orthogonal Multiple Access under Finite Blocklength