Massive Unsourced Random Access Over Rician Fading Channels: Design, Analysis, and Optimization

Tian, Feiyan; Chen, Xiaoming; Liu, Lei; Ng, Derrick Wing Kwan

doi:10.1109/jiot.2022.3155670

Cited by 9 publications

(4 citation statements)

References 31 publications

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“…As Prop-MLE-Small-i and Prop-MLE-Large-i have the same detection performance, they are both referred to as Prop-MLE-i when showing detection performance. We adopt the existing methods for the synchronous case [5], [8], [11], [29],…”

Section: Estimation Methodsmentioning

confidence: 99%

“…as N, L, M → ∞, same as the one in [29] and higher than the one in [7], i.e., O(NL 2 ), as 9 It is still unknown how to analyze the number of iterations required to reach certain stopping criteria. Therefore, we provide only per-iteration computational complexity analysis to reflect the computation cost to some extent as in [5], [7]- [10], [15], [16], [23], [25].…”

Section: : Computementioning

confidence: 99%

“…In [29], the authors attempt to solve the MLE-based device activity detection problem for the synchronous case under Rician fading. Nevertheless, the two-loop iterative algorithm proposed in [29] is not computationally efficient, solves only an approximation of the block coordinate optimization problem, and cannot guarantee to obtain a stationary point. Note that massive grantfree access for the asynchronous cases under Rician fading has not been investigated yet.…”

Section: Introductionmentioning

confidence: 99%

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MLE-based Device Activity Detection for Grant-free Massive Access under Rician Fading

Liu

Cui

Yang

et al. 2022

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

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Most existing studies on massive grant-free access, proposed to support massive machine-type communications (mMTC) for the Internet of things (IoT), assume Rayleigh fading and perfect synchronization for simplicity. However, in practice, line-of-sight (LoS) components generally exist, and time and frequency synchronization are usually imperfect. This paper systematically investigates maximum likelihood estimation (MLE)-based device activity detection under Rician fading for massive grant-free access with perfect and imperfect synchronization. Specifically, we formulate device activity detection in the synchronous case and joint device activity and offset detection in three asynchronous cases (i.e., time, frequency, and time and frequency asynchronous cases) as MLE problems. In the synchronous case, we propose an iterative algorithm to obtain a stationary point of the MLE problem. In each asynchronous case, we propose two iterative algorithms with identical detection performance but different computational complexities. In particular, one is computationally efficient for small ranges of offsets, whereas the other one, relying on fast Fourier transform (FFT) and inverse FFT, is computationally efficient for large ranges of offsets. The proposed algorithms generalize the existing MLE-based methods for Rayleigh fading and perfect synchronization. Numerical results show the notable gains of the proposed algorithms over existing methods in detection accuracy and computation time.

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Section: Estimation Methodsmentioning

confidence: 99%

Section: : Computementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MLE-based Device Activity Detection for Grant-free Massive Access under Rician Fading

Liu

Cui

Yang

et al. 2022

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)

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“…Besides that, the role of channel conditions has been stated to be pivotal to MIMO-NOMA performance [15]. The characteristics of Rician fading channels create an opportunity and, at the same time, a challenge for system design and optimization [16]. There is a dominant LOS component that in fact improves the strength of the signal and therefore reduces the effects of fading but at the same time is concomitant with challenges related to attaining accurate modeling of the channel.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Enhanced Downlink Transmission in MIMO-NOMA Networks under Rician Fading Channels

Ahmmed,

Kabir,

Tarfi

et al. 2024

Preprint

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This paper investigates downlink transmission in multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) networks under Rician fading channels. An analytical framework for user signal-to-interference-plus-noise ratio (SINR) and bit error rate (BER) is developed. Numerical results are given to show that the outage probability is significantly decreased with higher transmit power, especially for cell-edge users, since NOMA is a good power allocation scheme. Furthermore, at higher SINR, the Bit-Error-Rate (BER) is reduced for all users, though such a user located far from the transmitter sees improved performance. This shows that MIMO NOMA presents an inter-user interference mitigation technique, and the closer users will benefit most. Overall, in comparison with SIMO NOMA, the MIMO NOMA will have better performance in either outage or BER reduction because of multi-antenna.

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Device Activity Detection with Low-Resolution ADC for Grant-free Access under Rician Fading

Jiang,

Liu,

Cui

et al. 2024

2024 IEEE/CIC International Conference on Communications in China (ICCC)

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Massive Unsourced Random Access Over Rician Fading Channels: Design, Analysis, and Optimization

Cited by 9 publications

References 31 publications

MLE-based Device Activity Detection for Grant-free Massive Access under Rician Fading

MLE-based Device Activity Detection for Grant-free Massive Access under Rician Fading

Performance Analysis of Enhanced Downlink Transmission in MIMO-NOMA Networks under Rician Fading Channels

Device Activity Detection with Low-Resolution ADC for Grant-free Access under Rician Fading

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