Electrical and Electronic Engineering - Research Publications

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    Knowledge Distillation for Feature Extraction in Underwater VSLAM
    Yang, J ; Gong, M ; Nair, G ; Lee, JH ; Monty, J ; Pu, Y (IEEE, 2023-01-01)
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    Zero-Error Feedback Capacity for Bounded Stabilization and Finite-State Additive Noise Channels
    Saberi, A ; Farokhi, F ; Nair, GN (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-10)
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    Bounded Estimation Over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity
    Saberi, A ; Farokhi, F ; Nair, GN (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-08)
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    Granger causality from quantized measurements
    Ahmadi, S ; Nair, GN ; Weyer, E (Elsevier BV, 2022-08-01)
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    On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT
    Liu, W ; Nair, G ; Li, Y ; Nesic, D ; Vucetic, B ; Poor, HV ( 2020-07-01)
    Wireless networked control systems (WNCSs) provide a key enabling technique for Industry Internet of Things (IIoT). However, in the literature of WNCSs, most of the research focuses on the control perspective, and has considered oversimplified models of wireless communications which do not capture the key parameters of a practical wireless communication system, such as latency, data rate and reliability. In this paper, we focus on a WNCS, where a controller transmits quantized and encoded control codewords to a remote actuator through a wireless channel, and adopt a detailed model of the wireless communication system, which jointly considers the inter-related communication parameters. We derive the stability region of the WNCS. If and only if the tuple of the communication parameters lies in the region, the average cost function, i.e., a performance metric of the WNCS, is bounded. We further obtain a necessary and sufficient condition under which the stability region is n-bounded, where n is the control codeword blocklength. We also analyze the average cost function of the WNCS. Such analysis is non-trivial because the finite-bit control-signal quantizer introduces a non-linear and discontinuous quantization function which makes the performance analysis very difficult. We derive tight upper and lower bounds on the average cost function in terms of latency, data rate and reliability. Our analytical results provide important insights into the design of the optimal parameters to minimize the average cost within the stability region.
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    On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT
    Liu, W ; Nair, G ; Li, Y ; Nesic, D ; Vucetic, B ; Poor, HV (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Wireless networked control systems (WNCSs) provide a key enabling technique for Industry Internet of Things (IIoT). However, in the literature of WNCSs, most of the research focuses on the control perspective, and has considered oversimplified models of wireless communications which do not capture the key parameters of a practical wireless communication system, such as latency, data rate and reliability. In this paper, we focus on a WNCS, where a controller transmits quantized and encoded control codewords to a remote actuator through a wireless channel, and adopt a detailed model of the wireless communication system, which jointly considers the inter-related communication parameters. We derive the stability region of the WNCS. If and only if the tuple of the communication parameters lies in the region, the average cost function, i.e., a performance metric of the WNCS, is bounded. We further obtain a necessary and sufficient condition under which the stability region is n-bounded, where n is the control codeword blocklength. We also analyze the average cost function of the WNCS. Such analysis is non-trivial because the finite-bit control-signal quantizer introduces a non-linear and discontinuous quantization function which makes the performance analysis very difficult. We derive tight upper and lower bounds on the average cost function in terms of latency, data rate and reliability. Our analytical results provide important insights into the design of the optimal parameters to minimize the average cost within the stability region.
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    Two extensions of topological feedback entropy
    Hagihara, R ; Nair, GN (SPRINGER LONDON LTD, 2013-12)
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    Granger causality of Gaussian signals from noisy or filtered measurements
    Ahmadi, S ; Nair, GN ; Weyer, E (Elsevier BV, 2020-01-01)
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    Non-Stochastic Private Function Evaluation
    Farokhi, F ; Nair, G (IEEE, 2021-04-11)
    We consider private function evaluation to provide query responses based on private data of multiple untrusted entities in such a way that each cannot learn something substantially new about the data of others. First, we introduce perfect non-stochastic privacy in a two-party scenario. Perfect privacy amounts to conditional unrelatedness of the query response and the private uncertain variable of other individuals conditioned on the uncertain variable of a given entity. We show that perfect privacy can be achieved for queries that are functions of the common uncertain variable, a generalization of the common random variable. We compute the closest approximation of the queries that do not take this form. To provide a trade-off between privacy and utility, we relax the notion of perfect privacy. We define almost perfect privacy and show that this new definition equates to using conditional disassociation instead of conditional unrelatedness in the definition of perfect privacy. Then, we generalize the definitions to multi-party function evaluation (more than two data entities). We prove that uniform quantization of query responses, where the quantization resolution is a function of privacy budget and sensitivity of the query (cf., differential privacy), achieves function evaluation privacy.