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Parameter estimation using relay feedback

REVIEWS IN CHEMICAL ENGINEERING 2019年第4期35卷 505-529页

作者： Dharmalingam, Kalpana Thangavelu, Thyagarajan Anna Univ Dept Instrumentat Engn Madras Inst Technol Campus Chennai 44 Tamil Nadu India

In process industries, closed-loop step and closed-loop relay feedback tests are popularly used for estimating model parameters. In this paper, different methods available in the literature for parameter estimation using conventional techniques and techniques based on relay feedback test are surveyed by reviewing around 152 research articles published during the past three decades. Through a comprehensive survey of available literature, the parameter estimation methods are classified into two broad groups, namely conventional techniques and relay-based parametric estimation techniques. These relay-based techniques are further classified into two subgroups, namely single-input-single-output (SISO) systems and multi-input-multi-output systems (both square and nonsquare), and are revealed in a lucid manner with the help of benchmark examples and case studies. For the above categorized methods, the procedural steps involved in relay-based parametric estimation methods are also presented. To facilitate the readers, comparison tables are included to comprehend the results of different parametric estimation techniques available in the literature. The incorporation of quantitative and qualitative analysis of papers published in various journals in the above area with the help of pie charts and graphs would enable the readers to grasp the overview of the research activity being carried out in the relay feedback domain. At the end, the challenging issues in relay-based parametric estimation methods and the directions for future investigations that can be explored are also highlighted.

关键词： multi-input-multi-output parameter estimation relay feedback single-input-single-output

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Deep Learning Based Over-the-Air Channel Estimation Using a ZYNQ SDR Platform

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IEEE ACCESS 2022年 10卷 60610-60621页

作者： Banerjee, Bhaskar Khan, Zaheer Lehtomaki, Janne J. Juntti, Markku Univ Oulu Fac Informat Technol & Elect Engn Oulu 90570 Finland

Deep learning based channel estimation techniques have recently found an overwhelming interest owing to data-driven learning-based adaptability compared to conventional estimation techniques which rely on model-based approach. This paper exploits the availability of low cost software defined radio (SDR) devices to implement and test over-the-air (OTA) deep learning driven channel estimation solutions in realistic settings for 5G and beyond wireless communications. We have designed and implemented a ZYNQ SDR-based deep learning driven channel estimation platform which utilises real-world 5G new radio (NR) signals to develop and test the performance of a deep learning solution for wireless channel estimators. To this end, we have considered the time-frequency response of an OTA communication channel for single-input-single-output (SISO) and single-input-multiple-output (SIMO) networks under various line-of-sight and non-line-of-sight scenarios as a two-dimensional image. We have utilised convolutional deep learning technique for channel estimation. The main purpose is to use OTA samples obtained via the SDR platform to determine the unknown values of the channel response using known values at the pilot locations and evaluate performance compared to conventional technique. Our results show that the performance of the deep learning channel estimator using OTA data is as good as that of conventional methods with the flexibility to adapt based on data analytics of the time-varying nature of the channel.

关键词： Channel estimation Symbols OFDM Wireless communication Deep learning Convolutional neural networks 5G mobile communication Channel estimation single-input-single-output single-input-multiple-output convolutional neural networks deep learning OTA transmission Zynq FPGA

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New beamforming and space-time coding for two-path successive decode and forward relaying

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IET COMMUNICATIONS 2018年第13期12卷 1573-1588页

作者： Gilan, Mahsa Shirzadian Olfat, Ali Univ Tehran Sch Elect & Comp Engn Signal Proc & Commun Syst Lab Tehran Iran

Successive relaying is a bandwidth-efficient scheme in cooperative networks. In this study, a novel distributed space-time coding (DSTC) transmission scheme for a two-path successive relay network is proposed that enjoys threshold-based selection relaying protocol. A new beamforming method is also employed alongside the proposed DSTC transmission scheme. Three scenarios are considered in this study. In the first scenario, single-input-single-output (SISO) relays are considered. In the second and third scenarios, multiple-input-multiple-output (MIMO) relays are used, but in the second case a transmission scheme named as quasi-DSTC scheme alongside employing space-time coding at each relay is proposed. A closed-form expression for the end-to-end bit error rate (BER) of the system is derived and it is shown that regardless of the fading in inter-relay channel, the proposed scheme achieves full diversity order even when there are decoding errors at the relay nodes. Simulation results show a significant saving in power of about 2.5, 3, and 4dB at BER compared with other conventional methods in the case of using SISO relays, MIMO relays in the second and third scenarios, respectively.

关键词： diversity reception channel coding amplify and forward communication array signal processing protocols decoding space-time codes relay networks (telecommunication) cooperative communication error statistics MIMO communication decode and forward communication noise figure 4 0 dB noise figure 3 0 dB noise figure 2 5 dB MIMO relays SISO relays relay nodes inter-relay channel end-to-end bit error rate quasiDSTC scheme multiple-input-multiple-output relays single-input-single-output DSTC transmission scheme beamforming method selection relaying protocol enjoys threshold two-path successive relay network novel distributed space-time coding transmission scheme bandwidth-efficient scheme successive relaying new beamforming

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Capacity of a Modulo-Sum Arbitrary SISO Relay Network

Capacity of a Modulo-Sum Arbitrary SISO Relay Network

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IEEE 75th Vehicular Technology Conference (VTC Spring)

作者： Sagar, Youvaraj T. Yang, Jie Kwon, Hyuck M. Wichita State Univ Dept Elect Engn & Comp Sci Wichita KS 67260 USA

ISBN: (纸本)9781467309905;9781467309882

This paper shows how to obtain the capacity of modular additive noise of an arbitrary single-input-single-output (SISO) relay network. The arbitrary SISO relay network is a network where the relays are interconnected with each other in various combinations. Its capacity is obtained by using a quantize-and-forward (QAF) strategy at each relay node. This paper considers all channels as discrete memoryless channels. In order to obtain the capacity of an arbitrary SISO relay network, this paper simplifies the network in terms of a parallel and serial relay network and finds the capacity. First, the capacity expression for a parallel relay network is obtained. In a parallel relay network, the source is transmitted to all relays;then each relay, using a QAF strategy, forwards the source to the destination. Second, the capacity expression for a serial relay network where the relays are interconnected serially is obtained. Finally, after expressing the capacities for parallel and serial relay networks, this paper explains how to obtain the capacity for any arbitrary SISO relay network.

关键词： channel capacity relay network modulo-sum channel quantize-and-forward single-input-single-output

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Outage probability of multiple-IRS-assisted SISO wireless communications over Rician fading

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PHYSICAL COMMUNICATION 2023年第1期59卷

作者： Hindustani, R. K. Dixit, Dharmendra Sharma, Sanjeev Bhatia, Vimal Indian Inst Technol BHU Varanasi Dept Elect Engn Varanasi India Rajkiya Engn Coll Dept Elect Engn Sonbhadra Uttar Pradesh India Indian Inst Technol Indore Discipline Elect Engn Indore India

Outage probability (OP) performance of multiple-intelligent reflecting surface (IRS)-assisted is pre-sented for a practically important single-input-single-output (SISO) wireless communication system over Rician fading channels where the IRS panel selection is considered. We investigate the SISO wireless communication scenario in which a single antenna transmitting node is sending its message to the receiving node with the aid of the best IRS panel selection. This wireless communication scenario model is a typical application of the uplink scenarios for future cellular wireless systems. We derive approximate OP expressions in the closed form using both the central limit theorem and the Laguerre series expansion. Further, we also derive a simple asymptotic OP to get diversity order and coding gain. The influence of each system parameter on OP performance is thoroughly investigated. In addition, the analytical OP results are corroborated with simulated OP results to confirm the accuracy of our presented analytical results. & COPY;2023 Elsevier B.V. All rights reserved.

关键词： Intelligent reflecting surface Outage probability Rician fading channel Diversity order Coding gain single-input-single-output

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Capacity of a Modulo-Sum Arbitrary SISO Relay Network

Capacity of a Modulo-Sum Arbitrary SISO Relay Network

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IEEE Vehicular Technology Conference

作者： Youvaraj T. Sagar Jie Yang Hyuck M. Kwon Department of Electrical Engineering and Computer Science Wichita State University Wichita Kansas 67260 USA

ISBN: (纸本)9781467309899

关键词： channel capacity relay network modulo-sum channel quantize-and-forward single-input-single-output Relay networks relay Parallel Lines Arbitrary Trunk Node

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