Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO

George Vershinin; Asaf Cohen; Omer Gurewitz

doi:10.1007/978-3-031-34671-2_15

Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO

George Vershinin, Asaf Cohen, Omer Gurewitz

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the ever-increasing demand for more per-household devices and the addition of more antennas per device, the challenge of effective scheduling and resource sharing to access the wireless shared channel for uplink communication with the base station (BS) becomes daunting. To address this issue, we devise and study a robust multiple-access protocol for massive multiple-input-multiple-output (MIMO) systems, based on sparse coding techniques originated in group testing (GT), for systems with non-cooperative self-scheduling users with reduced complexity and no scheduling overhead. In this study, we analyze our scheme’s bit-error rate, decoding error probability, scaling laws, system sum-rate, and complexity. We show that our suggested scheme is order-optimal by comparing our sum-rate with the perfect channel state information (CSI) model and numerically evaluate how our system scales with an increasing number of active devices and signal-to-noise ratio (SNR).

Original language	American English
Title of host publication	Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings
Editors	Shlomi Dolev, Ehud Gudes, Pascal Paillier
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	200-215
Number of pages	16
ISBN (Print)	9783031346705
DOIs	https://doi.org/10.1007/978-3-031-34671-2_15
State	Published - 1 Jan 2023
Event	7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023 - Be'er Sheva, Israel Duration: 29 Jun 2023 → 30 Jun 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13914 LNCS

Conference

Conference	7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023
Country/Territory	Israel
City	Be'er Sheva
Period	29/06/23 → 30/06/23

Keywords

Group Testing
Massive MIMO
Multiple-Access

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-34671-2_15

Cite this

Vershinin, G., Cohen, A., & Gurewitz, O. (2023). Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO. In S. Dolev, E. Gudes, & P. Paillier (Eds.), Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings (pp. 200-215). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13914 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-34671-2_15

Vershinin, George ; Cohen, Asaf ; Gurewitz, Omer. / Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO. Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings. editor / Shlomi Dolev ; Ehud Gudes ; Pascal Paillier. Springer Science and Business Media Deutschland GmbH, 2023. pp. 200-215 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "With the ever-increasing demand for more per-household devices and the addition of more antennas per device, the challenge of effective scheduling and resource sharing to access the wireless shared channel for uplink communication with the base station (BS) becomes daunting. To address this issue, we devise and study a robust multiple-access protocol for massive multiple-input-multiple-output (MIMO) systems, based on sparse coding techniques originated in group testing (GT), for systems with non-cooperative self-scheduling users with reduced complexity and no scheduling overhead. In this study, we analyze our scheme{\textquoteright}s bit-error rate, decoding error probability, scaling laws, system sum-rate, and complexity. We show that our suggested scheme is order-optimal by comparing our sum-rate with the perfect channel state information (CSI) model and numerically evaluate how our system scales with an increasing number of active devices and signal-to-noise ratio (SNR).",

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Vershinin, G, Cohen, A & Gurewitz, O 2023, Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO. in S Dolev, E Gudes & P Paillier (eds), Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13914 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 200-215, 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023, Be'er Sheva, Israel, 29/06/23. https://doi.org/10.1007/978-3-031-34671-2_15

Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO. / Vershinin, George; Cohen, Asaf ; Gurewitz, Omer.
Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings. ed. / Shlomi Dolev; Ehud Gudes; Pascal Paillier. Springer Science and Business Media Deutschland GmbH, 2023. p. 200-215 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13914 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - With the ever-increasing demand for more per-household devices and the addition of more antennas per device, the challenge of effective scheduling and resource sharing to access the wireless shared channel for uplink communication with the base station (BS) becomes daunting. To address this issue, we devise and study a robust multiple-access protocol for massive multiple-input-multiple-output (MIMO) systems, based on sparse coding techniques originated in group testing (GT), for systems with non-cooperative self-scheduling users with reduced complexity and no scheduling overhead. In this study, we analyze our scheme’s bit-error rate, decoding error probability, scaling laws, system sum-rate, and complexity. We show that our suggested scheme is order-optimal by comparing our sum-rate with the perfect channel state information (CSI) model and numerically evaluate how our system scales with an increasing number of active devices and signal-to-noise ratio (SNR).

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Vershinin G, Cohen A , Gurewitz O. Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO. In Dolev S, Gudes E, Paillier P, editors, Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 200-215. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-34671-2_15

Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO

Abstract

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Keywords

All Science Journal Classification (ASJC) codes

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