A Joint PHY and MAC Layer Design for Coded Random Access with Massive MIMO

Valentini, Lorenzo; Chiani, Marco

doi:10.1109/globecom48099.2022.10001488

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…The analysis conducted in this section, not only provides system design guidelines, but can be relevant to jointly optimize PHY and MAC layer. For example, in [39] an optimization is proposed based on density evolution recursion under realistic channel and PHY layer processing relying on (22).…”

Section: B Theoretical Analysis Of the Interference Effectsmentioning

confidence: 99%

“…For example, we can use the error probability vs. E s /N 0 derived for LDPC or Turbo codes, with QPSK modulation. This generalization can be useful to construct analytical designing tools for CRA schemes in realistic scenario, as done in [39]. Note that, if some activity detection algorithm is employed, the decoder will work with the knowledge of the signal-tonoise ratio E s /N 0 , as this is related to the actual number of active users, |A|.…”

Section: Appendix a Interference Analysis On General Modulation And C...mentioning

confidence: 99%

“…Although part of the literature on CRA tends to model the PHY layer signal processing (including packet detection, channel estimation, and interference cancellation) as ideal, signal processing in a realistic setting may introduce considerable losses with respect to the performance under idealized conditions, especially in terrestrial scenarios characterized by fading. For instance, the often employed collision or multi-packet reception (MPR) channel models [37], [38] may sometimes turn inaccurate, jeopardizing effective system design and optimization [39].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of Interference Subtraction on Grant-Free Multiple Access with Massive MIMO

Valentini

Faedi

Chiani

2022

ICC 2022 - IEEE International Conference on Communications

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In next generation Internet-of-Things, the overhead introduced by grant-based multiple access protocols may engulf the access network as a consequence of the unprecedented number of connected devices. Grant-free access protocols are therefore gaining an increasing interest to support massive access from machine-type devices with intermittent activity. In this paper, coded random access (CRA) with massive multiple input multiple output (MIMO) is investigated as a solution to design highly-scalable massive multiple access protocols, taking into account stringent requirements on latency and reliability. With a focus on signal processing aspects at the physical layer and their impact on the overall system performance, critical issues of successive interference cancellation (SIC) over fading channels are first analyzed. Then, SIC algorithms and a scheduler are proposed that can overcome some of the limitations of the current access protocols. The effectiveness of the proposed processing algorithms is validated by Monte Carlo simulation, for different CRA protocols and by comparisons with developed benchmarks.

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Section: B Theoretical Analysis Of the Interference Effectsmentioning

confidence: 99%

Section: Appendix a Interference Analysis On General Modulation And C...mentioning

confidence: 99%