Throughput Analysis of PDMA/IRSA under Practical Channel Estimation

Srivatsa, CR and Murthy, CR (2019) Throughput Analysis of PDMA/IRSA under Practical Channel Estimation. In: 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, 2 July 2019 - 5 July 2019, Cannes.

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Abstract

Pattern division multiple access (PDMA) and irregular repetition slotted aloha (IRSA) are non-orthogonal multiple access (NOMA) protocols wherein packets are repeated across different resource elements. In this paper, first, the throughput of PDMA/IRSA is analyzed when common pilots are employed across users to facilitate channel estimation at the base station (BS). It is shown that the resulting pilot contamination greatly reduces the throughput compared to that obtained under the assumption of perfect channel state information (CSI). On the other hand, the use of orthogonal pilots can recover the performance loss due to pilot contamination. The analysis considers multiple antennas at the BS, and, hence, it also captures the performance of joint power-and-spatial domain random access based NOMA under estimated CSI. Thus, it is shown that it is crucial to account for practical channel estimation in the throughput analysis of PDMA/IRSA based systems. © 2019 IEEE.

Item Type:	Conference Paper
Publication:	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Channel state information, Multiple access; Multiple antenna; Perfect channel state information; Performance loss; Pilot contaminations; Resource element; Slotted Aloha; Throughput analysis, Channel estimation
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Date Deposited:	19 Dec 2022 07:22
Last Modified:	19 Dec 2022 07:22
URI:	https://eprints.iisc.ac.in/id/eprint/78506

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