scholarly journals Some New Results on the GaussianWiretap Feedback Channel

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 817 ◽  
Author(s):  
Wei ◽  
Yu ◽  
Dai

In this paper, the Gaussian wiretap feedback channel is revisited, and some new resultson its secrecy capacity are obtained. To be specific, first, we show that the Schalkwijk–Kailath (SK)feedback scheme, which achieves the secrecy capacity of the degraded Gaussian wiretap feedbackchannel, also achieves the secrecy capacity of the non-degraded Gaussian wiretap feedback channel.Second, applying the existing secret key-based feedback schemes to Gaussian wiretap feedbackchannels, we derive some new lower bounds on the secrecy capacities of these models. Finally,we compare the performances of the above feedback schemes in the degraded and non-degradedGaussian wiretap feedback channels and show which feedback scheme performs better for thesechannel models.

Entropy ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 278 ◽  
Author(s):  
Haonan Zhang ◽  
Linman Yu ◽  
Bin Dai

In this paper, we propose two feedback coding schemes for the action-dependent wiretap channel with noncausal state at the transmitter. The first scheme follows from the already existing secret key based feedback coding scheme for the wiretap channel. The second one follows from our recently proposed hybrid feedback scheme for the wiretap channel. We show that, for the action-dependent wiretap channel with noncausal state at the transmitter, the second feedback scheme performs better than the first one, and the capacity results of this paper are further explained via a Gaussian example, which we call the action-dependent dirty paper wiretap channel with noiseless feedback.


Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 929
Author(s):  
Guangfen Xie ◽  
Bin Dai

The Gaussian wiretap channel with noncausal state interference available at the transmitter, which is also called the dirty paper wiretap channel (DP-WTC), has been extensively studied in the literature. Recently, it has been shown that taking actions on the corrupted state interference of the DP-WTC (also called the action-dependent DP-WTC) helps to increase the secrecy capacity of the DP-WTC. Subsequently, it has been shown that channel feedback further increases the secrecy capacity of the action-dependent DP-WTC (AD-DP-WTC), and a sub-optimal feedback scheme is proposed for this feedback model. In this paper, a two-step hybrid scheme and a corresponding new lower bound on the secrecy capacity of the AD-DP-WTC with noiseless feedback are proposed. The proposed new lower bound is shown to be optimal (achieving the secrecy capacity) and tighter than the existing one in the literature for some cases, and the results of this paper are further explained via numerical examples.


2020 ◽  
Vol 19 (03) ◽  
pp. 2050015
Author(s):  
Olufemi Muibi Omisakin ◽  
Chanaka Bandara ◽  
Indrapriya Kularatne

This study examines the impact of customer feedback channels on customer satisfaction, the need to design a new feedback channel using artificial intelligence (AI) as a goods locator map and internal survey model in the supermarket industry. A self-administered questionnaire was used to collect data from customers in supermarkets. Descriptive statistics and correlations were used to analyse the collected data sets to attain a statistically supported conclusion. The research found customer feedback service channels impacted on customers’ satisfaction. Customers were not satisfied with the rate of responsiveness to their feedback. The study designed and proposed a customer feedback service channel with AI as an alternative to existing feedback channels. It concluded that an AI designed system should be developed and implemented in supermarkets to test the intended outcome of the feedback channels and to design a robust system as a goods locator map and internal survey model.


Author(s):  
Parinya CHALERMSOOK ◽  
Hiroshi IMAI ◽  
Vorapong SUPPAKITPAISARN

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