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Incremental massive random access exploiting the nested Reed-Muller sequences

Incremental massive random access exploiting the nested Reed-Muller sequences
Incremental massive random access exploiting the nested Reed-Muller sequences
Massive machine-type communication (mMTC) is expected to provide reliable and low-latency connectivity for an enormous number of devices, which turn active sporadically or frequently. In this highly dynamic situation, it is crucial to designefficient random access (RA) procedures to cope both with the flood of simultaneous access requests and with the potential access failures. In this paper, by exploiting the large sequence space, the excellent correlation property and especially the elegant nested structure of Reed-Muller (RM) sequences, we propose a new RA scheme, which facilitates both instantaneous access for newly active users and incremental access for existing users who suffer from detection failures. In particular, when a failure occurs, the user continues accessing the channel employing an expanded RM sequence, which is combined with the previously received ones at the access point (AP) to form a longer sequence so as to attain potentially better detection probability. Furthermore, a
recursive detection algorithm is designed for jointly detecting the resultant RM sequences and the channel coefficients of both the newly active users and the existing ones. The performance of the proposed algorithm is analyzed in detail. Our simulation
results validate the analysis and show the scheme’s superior access probability, access latency and computational complexity
1536-1276
Wang, Jue
e3b89b63-81d2-49b2-a668-a3c54bc2090f
Zhang, Zhaoyang
5951d239-6a4e-41d1-a2e3-033e7696a939
Zhong, Caijun
ec150f86-eb08-4765-a642-23f2c94f1920
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Jue
e3b89b63-81d2-49b2-a668-a3c54bc2090f
Zhang, Zhaoyang
5951d239-6a4e-41d1-a2e3-033e7696a939
Zhong, Caijun
ec150f86-eb08-4765-a642-23f2c94f1920
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Jue, Zhang, Zhaoyang, Zhong, Caijun and Hanzo, Lajos (2020) Incremental massive random access exploiting the nested Reed-Muller sequences. IEEE Transactions on Wireless Communications. (doi:10.1109/TWC.2020.3045321).

Record type: Article

Abstract

Massive machine-type communication (mMTC) is expected to provide reliable and low-latency connectivity for an enormous number of devices, which turn active sporadically or frequently. In this highly dynamic situation, it is crucial to designefficient random access (RA) procedures to cope both with the flood of simultaneous access requests and with the potential access failures. In this paper, by exploiting the large sequence space, the excellent correlation property and especially the elegant nested structure of Reed-Muller (RM) sequences, we propose a new RA scheme, which facilitates both instantaneous access for newly active users and incremental access for existing users who suffer from detection failures. In particular, when a failure occurs, the user continues accessing the channel employing an expanded RM sequence, which is combined with the previously received ones at the access point (AP) to form a longer sequence so as to attain potentially better detection probability. Furthermore, a
recursive detection algorithm is designed for jointly detecting the resultant RM sequences and the channel coefficients of both the newly active users and the existing ones. The performance of the proposed algorithm is analyzed in detail. Our simulation
results validate the analysis and show the scheme’s superior access probability, access latency and computational complexity

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Accepted/In Press date: 8 December 2020
e-pub ahead of print date: 23 December 2020

Identifiers

Local EPrints ID: 445960
URI: http://eprints.soton.ac.uk/id/eprint/445960
ISSN: 1536-1276
PURE UUID: 9f9329d6-d42a-4917-bca4-6ea33694f85c
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 15 Jan 2021 17:31
Last modified: 18 Mar 2024 05:14

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Contributors

Author: Jue Wang
Author: Zhaoyang Zhang
Author: Caijun Zhong
Author: Lajos Hanzo ORCID iD

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