Super-Sparse On-Off Division Multiple Access: Replacing Repetition With Idling

Song, Guanghui; Cai, Kui; Chi, Yuhao; Guo, Jie; Cheng, Jun

doi:10.1109/tcomm.2020.2965522

Cited by 13 publications

(4 citation statements)

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“…Therefore, the higher the order of SOMA, the sparser the incidence matrix becomes. The growth in sparsity can help us to aid sparse types of NOMA schemes, as in [36].…”

Section: B Soma Designmentioning

confidence: 99%

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Design of Incidence Matrices With Limited Constellation Expansion in Massive Connectivity NOMA Systems

2023

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Non-orthogonal multiple-access (NOMA) is designed to transmit massive amounts of user communications. The incidence matrix manages the relationship between users and resources. This study focused on increasing user supportability and complexity reduction using larger incidence matrices. Our approach to optimizing the incidence matrix to improve system capacity and reduce complexity is based on two critical mathematical concepts: Parallel classes in hypergraph theory and combinatorial designs allow us to explore and extend incidence matrices. Frame theory is used to estimate matrix structures. Then, we investigate applications utilizing our incidence matrix designs-Simple Orthogonal Multi-Arrays (SOMA). The characteristics of SOMA reflect the unique Latin Square pattern, allowing us to produce a highly flexible and fair resource allocation matrix. SOMA designs let us support overload factors over 500%. The theoretical performance analysis equations of our NOMA system were established to support dynamic adaptability and optimization. We implemented and evaluated security methods for eavesdroppers. The prototype of the user hierarchy allows a higher-priority group to have a lower error rate without significantly affecting the system's performance. Finally, the Monte Carlo simulation indicated that our NOMA systems allow higher degrees of freedom and lower complexity than other NOMA schemes while maintaining graceful error rates with a maximum 33% improvement.INDEX TERMS Incidence matrix, NOMA, combinatorial design, frame theory, SOMA.

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“…Therefore, the higher the order of SOMA, the sparser the incidence matrix becomes. The growth in sparsity can help us to aid sparse types of NOMA schemes, as in [36].…”

Section: B Soma Designmentioning

confidence: 99%

“…Therefore, the higher the order of SOMA, the sparser the incidence matrix becomes. The growth in sparsity can help us to aid sparse types of NOMA schemes, as in[36].Finally, we would like to prove that SOMA designs have smaller constellation sizes per RE than STS designs…”

mentioning

confidence: 98%

Design of Incidence Matrices With Limited Constellation Expansion in Massive Connectivity NOMA Systems

2023

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“…Several practical transmission schemes are proposed to approach this bound based on dividing the transmission frame into slots [3], [4], coded compressed sensing [5], or spreading the channel-coded bits by random signatures [6], [7]. Furthermore, the on-off division multiple access (ODMA) [8] where a small fraction of the frame is utilized by each user is applied to the URA set-up in [9], [10], offering a promising performance with low complexity.…”

Section: Introductionmentioning

confidence: 99%

“…Subtract the effect of the detected indices by (8). 8: end for 9: Iterative decoding: 10: for j = 1, 2, .…”

mentioning

confidence: 99%

A Slotted Unsourced Random Access Scheme with a Massive MIMO Receiver

Ozates

Kazemi

Duman

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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We investigate the unsourced random access scheme assuming that the base station is equipped with multiple antennas, and propose a high-performing solution utilizing on-off-division multiple access. We assume that each user spreads its pilot sequence and polar codeword to the pilot and data parts of the transmission frame, respectively, based on a transmission pattern. The iterative receiver operation consists of pilot and pattern detection followed by channel vector and symbol estimation, polar decoding, and successive interference cancellation. Numerical findings demonstrate that the proposed scheme has superior performance compared to the state-of-the-art in various antenna settings.Index Terms-Unsourced random access, on-off division multiple access, massive MIMO.

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Low-Density Spreading Codes for NOMA Systems and a Gaussian Separability-Based Design

Kulhandjian

D’Amours

et al. 2021

IEEE Access

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Super-Sparse On-Off Division Multiple Access: Replacing Repetition With Idling

Cited by 13 publications

References 50 publications

Design of Incidence Matrices With Limited Constellation Expansion in Massive Connectivity NOMA Systems

Design of Incidence Matrices With Limited Constellation Expansion in Massive Connectivity NOMA Systems

A Slotted Unsourced Random Access Scheme with a Massive MIMO Receiver

Low-Density Spreading Codes for NOMA Systems and a Gaussian Separability-Based Design

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