Yun Ai
Norwegian University of Science and Technology
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Publication
Featured researches published by Yun Ai.
Sensors | 2017
Yun Ai; Michael Cheffena
Wireless sensor networks (WSNs) will play a fundamental role in the realization of Internet of Things and Industry 4.0. Arising from the presence of spatially distributed sensor nodes in a sensor network, cooperative diversity can be achieved by using the sensor nodes between a given source-destination pair as intermediate relay stations. In this paper, we investigate the end-to-end average bit error rate (BER) and the channel capacity of a multi-hop relay network in the presence of impulsive noise modeled by the well-known Middleton’s class-A model. Specifically, we consider a multi-hop decode-and-forward (DF) relay network over Nakagami-m fading channel due to its generality, but also due to the absence of reported works in this area. Closed-form analytical expressions for the end-to-end average BER and the statistical properties of the end-to-end channel capacity are obtained. The impacts of the channel parameters on these performance quantities are evaluated and discussed.
vehicular technology conference | 2016
Yun Ai; Michael Cheffena
This paper investigates the performance of cooperative relay networks in the presence of hybrid automatic repeat request (ARQ) with delay constraint. It analyzes the scenarios where the relay channels are asymmetric (i.e., the links of the wireless relay network follow different fading distributions) due to relaying position and/or due to time varying channel fading. The analytical expressions for the outage probability and throughput are derived for different asymmetric fading channels. The benefit of combined implementation of relaying and hybrid-ARQ is illustrated. Our results show that the performance in terms of outage probability and delay-limited throughput is better when the relay node is in line-of-sight (LoS) with respect to the source node compared to being close to the destination node. This performance difference is quantified and can be as large as several dB depending on the specific configuration. This difference in performance narrows when the maximum hybrid-ARQ transmission rounds increase or when the information transmission rate decreases.
vehicular technology conference | 2016
Yun Ai; Michael Cheffena
Power line communication (PLC) is an emerging technology for the realization of smart grid and home automation. It utilizes existing power line infrastructure for data communication in addition to the transmission of power. The PLC channel behaves significantly different from the wireless channel; and it is characterized by signal attenuation as well as by additive noise and multiplicative noise effects. The additive noise consists of background noise and impulsive noise; while the multiplicative noise results in fading of the received signal power. This paper investigates the impact of the channel characteristics on the capacity performance of a PLC system over Rayleigh fading channel with frequency-distance dependent attenuation and colored Nakagami-m distributed additive noise. We derive the exact closed-form expressions for the distribution of the instantaneous signal-to-noise ratio (SNR). Since closed-form expression of the capacity for channels with non-Gaussian noise is extremely difficult to obtain, we choose to use the lower limit of the PLC capacity to facilitate our analysis. Monte Carlo simulation results are used to verify the derived analytical expressions.
IEEE Communications Letters | 2018
Aashish Mathur; Yun Ai; Manav R. Bhatnagar; Michael Cheffena; Tomoaki Ohtsuki
In this letter, we study the secrecy performance of the classic Wyner’s wiretap model, where the main and eavesdropper channels are modeled by a general and versatile
vehicular technology conference | 2017
Yun Ai; Tomoaki Ohtsuki; Michael Cheffena
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decision and game theory for security | 2017
Yun Ai; Manav R. Bhatnagar; Michael Cheffena; Aashish Mathur; Artem Sedakov
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IEEE Transactions on Antennas and Propagation | 2017
Yun Ai; Jørgen Bach Andersen; Michael Cheffena
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conference of the industrial electronics society | 2015
Yun Ai; Bjørn Olav Hogstad; Michael Cheffena; Matthias Pätzold
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european conference on antennas and propagation | 2015
Yun Ai; Michael Cheffena; Qihao Li
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european conference on antennas and propagation | 2015
Yun Ai; Michael Cheffena; Qihao Li
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