An Enhanced Random Access Scheme With Spatial Group Based Reusable Preamble Allocation in Cellular M2M Networks

Kim, Taehoon; Jang, Han Seung; Sung, Dan Keun

doi:10.1109/lcomm.2015.2473860

Cited by 63 publications

(32 citation statements)

References 5 publications

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“…However, the occurrence of erroneous detection increases due to the noise-rise among ZC sequences with different root indices. 2 Considering a Poisson arrival model, N I = NλT P 1−pc [8], where N , λ, T P , and pc denote the number of IoT devices within a cell, a packet arrival rate, a period of RA slot, and a collision probability, respectively. As pc increases, collision events cause an increasing of the load per RA slot due to backlogging [9] in the upcoming slots.…”

Section: System Modelmentioning

confidence: 99%

An Enhanced Random Access With Preamble-Assisted Short-Packet Transmissions for Cellular IoT Communications

Kim

Bang

2019

IEEE Commun. Lett.

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We propose an enhanced random access (RA) with preamble-assisted short-packet transmissions to support cellular Internet-of-things (IoT) communications. A key feature of the proposed scheme is that the base station (e.g., eNodeB in LTE networks) utilizes the RA preambles as uplink reference signals to estimate uplink channel state information of IoT devices, which subsequently provides additional opportunities to transmit short-packets during the RA procedure without extra signaling (e.g., connection and scheduling requests). Through simulations, we evaluate the performance of the proposed scheme in terms of a channel estimation mean squared error, a bit error rate, a preamble collision probability, and a success probability of short-packet transmissions. The results show that the proposed scheme can support reliable and low-latency featured shortpacket transmissions during the RA procedure by efficiently incorporating both multiple antenna and detection techniques.

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Section: System Modelmentioning

confidence: 99%

An Enhanced Random Access With Preamble-Assisted Short-Packet Transmissions for Cellular IoT Communications

Kim

Bang

2019

IEEE Commun. Lett.

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“…The preamble collision issue is also dealt with from different perspectives. For example, the preamble shortage is addressed either by increasing the number of available preambles [8] or by preamble reusing [9]. Early preamble collision detection schemes were proposed to avoid RB wastage [10], [11].…”

Section: B Related Workmentioning

confidence: 99%

“…Then the nodes in hidden layer D i serve as the input for the next hidden layer A i+1 . It should be noted that, according to (9), the input for subsequent hidden layers A also includes the nodes in the input layer. However, for the clarity of presentation in Fig.…”

Section: Neural Network Structure For Dnn-mp-ad Algorithmmentioning

confidence: 99%

Fixed-Symbol Aided Random Access Scheme for Machine-to-Machine Communications

Zhang

Liu

et al. 2019

IEEE Access

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The massiveness of devices in crowded Machineto-Machine (M2M) communications brings new challenges to existing random-access (RA) schemes, such as heavy signaling overhead and severe access collisions. In order to reduce the signaling overhead, we propose a fixed-symbol aided RA scheme where active devices access the network in a grant-free method, i.e., data packets are directly transmitted in randomly chosen slots. To further address the access collision which impedes the activity detection, one fixed symbol is inserted into each transmitted data packet in the proposed scheme. An iterative message passing based activity detection (MP-AD) algorithm is performed upon the received signal of this fixed symbol to detect the device activity in each slot. In addition, the deep neural network-aided MP-AD (DNN-MP-AD) algorithm is further designed to alleviate the correlation problem of the iterative message passing process. In the DNN-MP-AD algorithm, the iterative message passing process is transferred from a factor graph to a DNN. Weights are imposed on the messages in the DNN and further trained to improve the accuracy of the device activity detection. Finally, numerical simulations are provided for the throughput of the proposed RA scheme, the accuracy of the proposed MP-AD algorithm, as well as the improvement brought by the DNN-MP-AD algorithm.Index Terms-M2M communications, random access, message passing detection, deep neural network.

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“…The message passing from an active CN processor to a positive VN is derived by the incoming messages from N p − 1 negative VNs. Therefore, according to (15) and (16), we have…”

Section: B Analysis For Check Node Processorsmentioning

confidence: 99%

Sparse Message Passing Based Preamble Estimation for Crowded M2M Communications

Zhang

Liu

et al. 2018

2018 IEEE International Conference on Communications (ICC)

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Due to the massive number of devices in the M2M communication era, new challenges have been brought to the existing random-access (RA) mechanism, such as severe preamble collisions and resource block (RB) wastes. To address these problems, a novel sparse message passing (SMP) algorithm is proposed, based on a factor graph on which Bernoulli messages are updated. The SMP enables an accurate estimation on the activity of the devices and the identity of the preamble chosen by each active device. Aided by the estimation, the RB efficiency for the uplink data transmission can be improved, especially among the collided devices. In addition, an analytical tool is derived to analyze the iterative evolution and convergence of the SMP algorithm. Finally, numerical simulations are provided to verify the validity of our analytical results and the significant improvement of the proposed SMP on estimation error rate even when preamble collision occurs.

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An Enhanced Random Access Scheme With Spatial Group Based Reusable Preamble Allocation in Cellular M2M Networks

Cited by 63 publications

References 5 publications

An Enhanced Random Access With Preamble-Assisted Short-Packet Transmissions for Cellular IoT Communications

An Enhanced Random Access With Preamble-Assisted Short-Packet Transmissions for Cellular IoT Communications

Fixed-Symbol Aided Random Access Scheme for Machine-to-Machine Communications

Sparse Message Passing Based Preamble Estimation for Crowded M2M Communications

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