Iterative Collision Resolution for Slotted ALOHA With NOMA for Heterogeneous Devices

• Published in: IEEE transactions on communications Vol. 69; no. 5; pp. 2948 - 2961
• Main Authors: Huang, Yu-Chih, Shieh, Shin-Lin, Hsu, Yu-Pin, Cheng, Hao-Ping
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bipartite graph; Decoding; Density; density evolution; diversity slotted ALOHA; Evolution; Heterogeneity; Interference cancellation; NOMA; non-orthogonal multiple access; Nonorthogonal multiple access; Optimization; Protocols; Silicon carbide; Slotted ALOHA; successive interference cancellation
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2021.3059778

In this paper, the problem of using uncoordinated multiple access (UMA) to serve a massive amount of heterogeneous users is investigated. Leveraging the heterogeneity, we propose a novel UMA protocol, called iterative collision resolution for slotted ALOHA (IRSA) with non-orthogonal multiple access (NOMA), to improve the conventional IRSA. In addition to the inter-slot successive interference cancellation (SIC) technique used in existing IRSA-based schemes, the proposed protocol further employs the intra-slot SIC technique that enables collision resolution for certain configurations of collided packets. A novel multi-dimensional density evolution is then proposed to analyze and to optimize the proposed protocol. Simulation results show that the proposed IRSA with NOMA protocol can efficiently exploit the heterogeneity among users and the multi-dimensional density evolution can accurately predict the throughput performance. Last, an extension of the proposed IRSA with NOMA protocol to the frame-asynchronous setting is investigated, where a boundary effect similar to that in spatially-coupled low-density parity check codes can be observed to bootstrap the decoding process.