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Channel State Information Based User Censoring in Irregular Repetition Slotted Aloha

Srivatsa, CR and Murthy, CR (2023) Channel State Information Based User Censoring in Irregular Repetition Slotted Aloha. In: 2023 IEEE International Conference on Communications, ICC 2023, 28 May 2023 - 1 June 2023, Rome, pp. 698-703.

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Official URL: https://doi.org/10.1109/ICC45041.2023.10278965


Irregular repetition slotted aloha (IRSA) is a massive random access protocol which can be used to serve a large number of users while achieving a packet loss rate (PLR) close to zero. However, if the number of users is too high, then the system is interference limited and the PLR is close to one. In this paper, we propose a variant of IRSA in the interference limited regime, namely Censored-IRSA (C-IRSA), wherein users with poor channel states censor themselves from transmitting their packets. We theoretically analyze the throughput performance of C-IRSA via density evolution. Using this, we derive closed-form expressions for the optimal choice of the censor threshold which maximizes the throughput while achieving zero PLR among uncensored users. Through extensive numerical simulations, we show that C-IRSA can achieve a 4 � improvement in the peak throughput compared to conventional IRSA. © 2023 IEEE.

Item Type: Conference Paper
Publication: IEEE International Conference on Communications
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to author.
Keywords: Packet networks, Channel state; Channel-state information; Irregular repetition slotted alohum; Machinetype communication (MTC); Massive machine-type communication; Packets loss rate; Random access; Random access protocol; Slotted Aloha; User censoring, Channel state information
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Date Deposited: 29 Feb 2024 09:26
Last Modified: 29 Feb 2024 09:26
URI: https://eprints.iisc.ac.in/id/eprint/83809

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