Performance Analysis of Massive MIMO Assisted Semi-Grant-Free Random Access

Ding, Jie; Feng, Mingjie; Choi, Jinho

doi:10.1109/ccnc49032.2021.9369502

Cited by 7 publications

(10 citation statements)

References 12 publications

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“…which shows that the SINR decreases with K. Here, b 1 = 1+ 1 γ and b 0 = 1 γ 2 − 1, which are independent of M and K. Note that while the SINR expression in (15) or similar ones can be found in the literature (e.g., [25] [14]), it has been (re-)derived to be used in Section V for the throughput and stability of the proposed approach.…”

Section: Sinr With Estimated Channel Vectorsmentioning

confidence: 99%

“…In Fig. 1, empirical results of SINR are shown with the average SINR in (15) for different values of K when M = 100 and γ = 10 dB. It is noteworthy that the SINR in ( 15) is dependent on K that can be seen as a random variable in random access.…”

Section: Sinr With Estimated Channel Vectorsmentioning

confidence: 99%

“…Thus, we can assume that the active devices with PC have low SINRs, while the signals from them become interfering signals that degrade the SINR of the active devices without PC as shown in (15). For convenience, the active devices without PC are referred to as PC-free (active) devices.…”

Section: A Feedback After Preamble Transmissionmentioning

confidence: 99%

“…Furthermore, no handshaking protocol is required to allocate channel resources for transmissions of data packets from active devices thanks to high spatial resolution or selectivity in massive MIMO. As a result, various grant-free random access schemes with massive MIMO are studied in [11] [12] [13] [14] [15].…”

Section: Introductionmentioning

confidence: 99%

“…As discussed in [15], with massive MIMO, the error probability of preamble detection is negligible. Thus, the BS can broadcast the outcomes of preamble detection so that active devices with PC do not transmit their data packets, which can result in a high SINR of the other active devices without PC and an improved throughput.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO

Choi¹

2020

Preprint

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To support machine-type communication (MTC), massive multiple-input multiple-output (MIMO) has been considered for grant-free random access. In general, the performance of grant-free random access with massive MIMO is limited by the number of preambles and the number of active devices. In particular, when there are a number of active devices transmitting data packets simultaneously, the signal-to-interference-plus-noise ratio (SINR) cannot be high enough for successful decoding. In this paper, in order to improve performance, we consider immediate re-transmissions for an active device that has a low SINR although it does not experience preamble collision to exploit re-transmission diversity (RTD) gain. To see the performance of the proposed approach, we perform throughput analysis with certain approximations and assumption. Since the proposed approach can be unstable due to immediate re-transmissions, conditions for stable systems are also studied. Simulations are carried out and it is shown that analysis results reasonably match simulation results.

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Section: Sinr With Estimated Channel Vectorsmentioning

confidence: 99%

Section: Sinr With Estimated Channel Vectorsmentioning

confidence: 99%

Section: A Feedback After Preamble Transmissionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO

Choi¹

2020

Preprint

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Resource Allocation for IRS Assisted SGF NOMA Transmission: A MADRL Approach

Chen

Guo

Jia

et al. 2022

IEEE J. Select. Areas Commun.

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Outage Performance Analysis of RSMA-Aided Semi-Grant-Free Transmission Systems

Xiao

Yang

et al. 2023

IEEE Open J. Commun. Soc.

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In this paper, we analyze the outage performance of a rate-splitting multiple access (RSMA)aided semi-grant-free (SGF) transmission system, in which a grant-based user (GBU) and multiple grantfree users (GFUs) access the base station by sharing the same resource blocks. In the RSMA-aided SGF (RSMA-SGF) transmission system, the GBU and admitted GFU are respectively treated as the primary and secondary users by using the cognitive radio principle. With the aid of RSMA, the admitted GFU's transmit power allocation, target rate allocation, and successive interference cancellation decoding order are jointly optimized to attain the maximum achievable rate for the admitted GFU, without deteriorating the GBU's outage performance compared to orthogonal multiple access. Taking into account the extended non-outage zone achieved by rate-splitting, a closed-form expression is derived for the outage probability of the admitted GFU in the considered RSMA-SGF system. Asymptotic analysis for the admitted GFU's outage probability is also provided. The superior outage performance and full multiuser diversity gain achieved by the RSMA-SGF transmission system are verified by the analytical and simulation results.INDEX TERMS Grant-free transmissions, multiple access, outage probability, rate-splitting.

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Performance Analysis of Massive MIMO Assisted Semi-Grant-Free Random Access

Cited by 7 publications

References 12 publications

On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO

On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO

Resource Allocation for IRS Assisted SGF NOMA Transmission: A MADRL Approach

Outage Performance Analysis of RSMA-Aided Semi-Grant-Free Transmission Systems

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