New Trends in the Practical Deployment of Industrial Wireless: From Noncritical to Critical Use Cases

Huang, Victor; Pang, Zhibo; Chen, Cheng-Jen Allen; Tsang, Kim Fung

doi:10.1109/mie.2018.2825480

Cited by 71 publications

(44 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in Fig. 4, the FER curves of N = 1024, K = [1/8, 7/8] Polar codes with quantization bits = [6,8,12] are almost the same under SC decoding. Accordingly, 6-bits or 8-bits quantization is sufficient for SC decoders.…”

Section: B Asymmetric Quantizationmentioning

confidence: 85%

An Asymmetric Adaptive SCL Decoder Hardware for Ultra-Low-Error-Rate Polar Codes

Tong

Zhang

Huang

et al. 2019

2019 16th International Symposium on Wireless Communication Systems (ISWCS)

View full text Add to dashboard Cite

In theory, Polar codes do not exhibit an error floor under successive-cancellation (SC) decoding. In practice, frame error rate (FER) down to 10 −12 has not been reported with a real SC list (SCL) decoder hardware. This paper presents an asymmetric adaptive SCL (A2SCL) decoder, implemented in real hardware, for high-throughput and ultra-reliable communications. We propose to concatenate multiple SC decoders with an SCL decoder, in which the numbers of SC/SCL decoders are balanced with respect to their area and latency. In addition, a novel unequal-quantization technique is adopted. The two optimizations are crucial for improving SCL throughput within limited chip area. As an application, we build a link-level FPGA emulation platform to measure ultra-low FERs of 3GPP NR Polar codes (with parity-check and CRC bits). It is flexible to support all list sizes up to 8, code lengths up to 1024 and arbitrary code rates. With the proposed hardware, decoding speed is 7000 times faster than a CPU core. For the first time, FER as low as 10 −12 is measured and quantization effect is analyzed.

show abstract

Section: B Asymmetric Quantizationmentioning

confidence: 85%

An Asymmetric Adaptive SCL Decoder Hardware for Ultra-Low-Error-Rate Polar Codes

Tong

Zhang

Huang

et al. 2019

2019 16th International Symposium on Wireless Communication Systems (ISWCS)

View full text Add to dashboard Cite

show abstract

“…As we can see from (4), the PDF of the received signal conditioned on the input signal, f (y|x), is completely characterized by the sufficient channel statistic function c(x). Furthermore, c(x) involves the summation of elements drawn from the sets A k , k = 1, 2.…”

Section: A Noncoherent Maximum-likelihood Detectormentioning

confidence: 99%

“…Critical industrial use cases normally involve real-time closed-loop control, where a failure of communication may lead to serious economic losses and safety accidents [4]. Such applications pose stringent performance requirements on the industrial communication networks, with high reliability of packet error rate down to 10 −9 and ultra-low latency at the level of sub-microsecond [5].…”

Section: Introductionmentioning

confidence: 99%

Noncoherent and Non-orthogonal Massive SIMO for Critical Industrial IoT Communications

Chen

Dong

Vucetic

2019

2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)

View full text Add to dashboard Cite

Towards the realization of ultra-reliable low-latency wireless communications required in critical industrial Internet of Things (IIoT) applications, this paper presents a new noncoherent and non-orthogonal massive single-input multiple-output (SIMO) framework, in which a large number of antennas are deployed to provide high spatial diversity so as to enable ultra-reliable communications, and noncoherent transmission and non-orthogonal multiple access techniques are applied to effectively reduce the latency at the physical and data link layers, respectively. A two-user IIoT system is considered to elaborate the key design principle of our framework, in which two controlled nodes (CNs) transmit their data to a common managing node (MN) on the same time-frequency resource block, and the MN implements the noncoherent maximum likelihood detector to recover the transmitted symbols of both CNs from the received sum signal. We analyze the error performance of the considered system and then minimize the system error probability by jointly designing the constellations of both CNs. Simulation results show that our design has lower error probability than existing designs.

show abstract

“…Connectivity in factories has until now been dominated by wired systems, which has been preferred for its real-time capability and reliability. Wireless systems are mainly applied in noncritical use cases such as monitoring of conditions, which poses comparatively low communication performance requirements since communication failure will not lead to serious accidents (e.g., economic losses and safety problems) [2]. The main reason behind this is that stringent performance in terms of relibility and latency required by critical use cases are several orders of magnitude better than what is achievable by todays wireless technologies [3].…”

Section: Introductionmentioning

confidence: 99%

Noncoherent Multiuser Massive SIMO for Low-Latency Industrial IoT Communications

Dong

Chen

Zhang

et al. 2019

2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)

View full text Add to dashboard Cite

In this paper, we consider a multiuser massive single-input multiple-output (SIMO) enabled Industrial Internet of Things (IIoT) communication system. To reduce the latency and overhead caused by channel estimation, we assume that only the large-scale fading coefficients are available. We employ a noncoherent maximum-likelihood (ML) detector at the receiver side which does not need the instantaneous channel state information (CSI). For such a massive SIMO system, we present a new design framework to assure that each transmitted signal matrix can be uniquely determined in the noise-free case and be reliably estimated in noisy cases. The key idea is to utilize a new concept called the uniquely decomposable constellation group (UDCG) based on the practically used quadrature amplitude modulation (QAM) constellation. To improve the average error performance when the antenna array size is scaled up, we propose a max-min Kullback-Leibler (KL) distance design by carrying out optimization over the transmitted power and the sub-constellation assignment. Finally, simulation results show that the proposed design outperforms significantly the existing max-min Euclidean distance based method in terms of error performance. Moreover, our proposed approach also has a better error performance than the conventional coherent zero-forcing (ZF) receiver with orthogonal training for cell edge users.

show abstract

New Trends in the Practical Deployment of Industrial Wireless: From Noncritical to Critical Use Cases

Cited by 71 publications

References 23 publications

An Asymmetric Adaptive SCL Decoder Hardware for Ultra-Low-Error-Rate Polar Codes

An Asymmetric Adaptive SCL Decoder Hardware for Ultra-Low-Error-Rate Polar Codes

Noncoherent and Non-orthogonal Massive SIMO for Critical Industrial IoT Communications

Noncoherent Multiuser Massive SIMO for Low-Latency Industrial IoT Communications

Contact Info

Product

Resources

About