Noncoherent Detection for Physical-Layer Network Coding

Wang, Zhaorui; Liew, Soung Chang; Lu, Lu

doi:10.1109/twc.2018.2864981

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…e proposed method is compared with other DoS attack detection methods. From Table 3, we can see that the detection performance of this method is very close to that of the rank-dependent DDoS detection method [21] and parameter-dependent frequency-domain LDoS attack detection method [38]. By comparing this method with the normalized cumulative amplitude spectral density method (NCAS) [16], the detection rate of the coherent detection method used in this paper increases by about 5% and the detection error rate increases by about 2%.…”

Section: Analysis Of Experimental Resultsmentioning

confidence: 75%

Coherent Detection of Synchronous Low-Rate DoS Attacks

Yin

2021

Security and Communication Networks

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Low-rate denial-of-service (LDoS) attacks are characterized by low average rate and periodicity. Under certain conditions, the high concealment of LDoS attacks enables them to transfer the attack stream to the network without being detected at all before the end. In this article, plenty of LDoS attack traffic is spread to the victim end to detect LDoS attacks. Through experimental analysis, it is found that the attack pulses at the victim end have sequence correlation, so the coherence detection technology in spread spectrum communication is proposed to detect LDoS attacks. Therefore, this paper proposes an attack detection method based on coherent detection, which adopts bivariate cyclic convolution algorithm. Similar to the generation of receiving terminal phase dry detection code in spread spectrum communication, we construct a local detection sequence to complete the extraction of LDoS attack stream from the background traffic of the victim terminal, that is, the coherent detection of LDoS attacks. When predicting the features of an LDoS attack, how to construct the parameters of the detection sequence (such as period, pulse duration, amplitude, and so on) is very important. In this paper, we observe the correlation of LDoS attacks and use coherence detection to detect LDoS attacks. By comparing calculated cross-correlation values with designed double threshold rules, the existence of attacks can be determined. The simulation platform and experiments show that this method has high detection performance.

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Section: Analysis Of Experimental Resultsmentioning

confidence: 75%

Coherent Detection of Synchronous Low-Rate DoS Attacks

Yin

2021

Security and Communication Networks

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“…There have been prior investigations on FSK-PNC detection. Specifically, [24] studied coherent detection and [25] [26] [27] [28] studied noncoherent detection. A coherent detector has access to the magnitude and the phase of the received signals, whereas a noncoherent detector only has access to the magnitude of the received signals.…”

Section: Related Workmentioning

confidence: 99%

“…2) comparison of the performance of the new BPCD and the noncoherent detector in [25] (both do not have knowledge of a priori channel and CFO distributions) under the same set-up. In particular, we assume in the set-up that the CFO could fully characterize the symbol-to-symbol relative phase rotation between the local oscillators of user u and relay R.…”

Section: Detector Design Without Prior Distributions Of Channel Pamentioning

confidence: 99%

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Coherent Detection for Short-Packet Physical-Layer Network Coding With Binary FSK Modulation

Wang

Liew

2020

IEEE Trans. Wireless Commun.

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This paper investigates coherent detection for physical-layer network coding (PNC) with short packet transmissions in a two-way relay channel (TWRC). PNC turns superimposed EM waves into network-coded messages to improve throughput in a relay system. To achieve this, accurate channel information at the relay is a necessity. Much prior work applies preambles to estimate the channel.For long packets, the preamble overhead is low because of the large data payload. For short packets, that is not the case. To avoid excessive overhead, we consider a set-up in which short packets do not have preambles. A key challenge is how the relay can estimate the channel and detect the networkcoded messages jointly based on the received signals from the two end users. We design a coherent detector that makes use of a belief propagation (BP) algorithm to do so. For concreteness, we focus on frequency-shift-keying (FSK) modulation. We show how the BP algorithm can be simplified and made practical with Gaussian-mixture passing. In addition, we demonstrate that prior knowledge on the channel distribution is not needed with our framework. Benchmarked against the detector with prior knowledge of the channel distribution, numerical results show that our detector can have nearly the same performance without such prior knowledge. Index TermsPhysical-layer network coding, short packet, message passing, frequency shift keying, M2M communications.

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“…around the robot. In the most of current PNC studies, the uplink of PNC requires that the robot and controller transmit the same length of information even in the case where the channel power between the controller and relay is stronger than that between the robot and relay [8]- [10]. In this case, the controller should find another time slot to transmit the rest of information separately.…”

Section: Introductionmentioning

confidence: 99%

PNC Enabled IIoT: A General Framework for Channel-Coded Asymmetric Physical-Layer Network Coding

Wang¹,

Liu²,

Zhang³

et al. 2021

Preprint

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This paper investigates the application of physical-layer network coding (PNC) to Industrial Internet of Things (IIoT) in which a controller and a robot are out of each other's transmission range, and they exchange messages with the assistance of a relay. We particularly focus on a scenario where the controller has more information to transmit, and the channel of the controller is stronger than that of the robot. To reduce the communication latency, we put forth an asymmetric PNC transmission scheme in which the controller and robot transmit different amount of information in the uplink of PNC simultaneously. The asymmetric transmission scheme is achieved through a way where the controller chooses a higher order modulation since the channel of the controller is stronger than that of the robot. To guarantee the transmission reliability, both users apply channel error correcting codes. A problem of the asymmetric transmission scheme is that a superimposed symbol at the relay contains different amount of source information from the controller and robot. It is thus hard for the relay to deduce meaningful network-coded messages by applying the current PNC decoding techniques which require the end users to transmit the same amount of information in the uplink of PNC. Currently, it still remains an open problem on the channel coding and modulation scheme design. To solve this problem, we propose a lattice based scheme in which the robot and controller encode and modulate their information in lattices with different lattice construction levels. Our design is versatile enough on that the controller and robot can freely choose their modulation orders based on their channel power, and the design is applicable for arbitrary channel error correcting codes, not just for one particular channel error correcting code. In addition, to make every dimension of the lattice power constrained, we apply hypercube power shaping. However, the hypercube power shaping causes decoding failures at the relay

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Noncoherent Detection for Physical-Layer Network Coding

Cited by 7 publications

References 13 publications

Coherent Detection of Synchronous Low-Rate DoS Attacks

Coherent Detection of Synchronous Low-Rate DoS Attacks

Coherent Detection for Short-Packet Physical-Layer Network Coding With Binary FSK Modulation

PNC Enabled IIoT: A General Framework for Channel-Coded Asymmetric Physical-Layer Network Coding

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