Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118773
Bowen Jia, Pingzhi Fan, Qianli Wang
A low complexity doubly fractional orthogonal time-frequency space (OTFS) channel estimation method is proposed in this paper. In order to deal with the channel spread caused by fractional delay and Doppler frequency shift, and to make full use of channel sparsity in the delay Doppler (DD) domain, the channel response is estimated in the fractional DD domain. In the fractional DD domain, the channel state information (CSI) could be approximately represented by several impulse responses and their corresponding delay Doppler information. Thus, we do not process the whole responses corresponding to the entire DD domain, but find only several impulse responses iteratively. To alleviate the coupling effect between the fractional delay and Doppler dimension, mixed one- and two-dimensional (1&2D) fractional models are used, and then these models are combined in an optimization problem to get the final CSI. To further reduce the complexity, limited Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method is employed in this paper, thus resulting much reduced complexity, i.e., $mathcal{O}left( {lambda {M_0}{N_0}} right)$, compared with baseline schemes. Our simulation results show that, despite the quite low complexity, the NMSE performance of the proposed scheme is still superior to several classic methods.
{"title":"Low Complexity Doubly Fractional OTFS Channel Estimation Based on L-BFGS Method","authors":"Bowen Jia, Pingzhi Fan, Qianli Wang","doi":"10.1109/WCNC55385.2023.10118773","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118773","url":null,"abstract":"A low complexity doubly fractional orthogonal time-frequency space (OTFS) channel estimation method is proposed in this paper. In order to deal with the channel spread caused by fractional delay and Doppler frequency shift, and to make full use of channel sparsity in the delay Doppler (DD) domain, the channel response is estimated in the fractional DD domain. In the fractional DD domain, the channel state information (CSI) could be approximately represented by several impulse responses and their corresponding delay Doppler information. Thus, we do not process the whole responses corresponding to the entire DD domain, but find only several impulse responses iteratively. To alleviate the coupling effect between the fractional delay and Doppler dimension, mixed one- and two-dimensional (1&2D) fractional models are used, and then these models are combined in an optimization problem to get the final CSI. To further reduce the complexity, limited Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method is employed in this paper, thus resulting much reduced complexity, i.e., $mathcal{O}left( {lambda {M_0}{N_0}} right)$, compared with baseline schemes. Our simulation results show that, despite the quite low complexity, the NMSE performance of the proposed scheme is still superior to several classic methods.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124628972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10119103
Farjam Karim, S. Singh, Keshav Singh, F. Khan
Simultaneous refracting/transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) has emerged as a potential technology for future-generation wireless networks to support extremely high data rates with a broader coverage area. In this work, with an aim to provide a novel analytical framework, we investigate the performance of a STAR-RIS assisted full duplex (FD) wireless communication system under finite block length (FBL) transmission. In particular, we first derive the probability density function and cumulative distribution function of the signal-to-interference-plus-noise ratio (SINR) for the uplink and downlink users. We then analyze the system performance by deriving closed form expressions for their block error rate (BLER) and goodput. Finally, we validate the accuracy of the derived analytical expressions using Monte-Carlo simulations and show that as the number of elements in the STAR-RIS is increased the system performance also improves. Furthermore, we graphically demonstrate the impact of imperfect channel state information and compare the performance of STAR-RIS in mode switching (MS) and energy splitting (ES) protocol.
{"title":"STAR-RIS-aided Full Duplex Communications with FBL Transmission","authors":"Farjam Karim, S. Singh, Keshav Singh, F. Khan","doi":"10.1109/WCNC55385.2023.10119103","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119103","url":null,"abstract":"Simultaneous refracting/transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) has emerged as a potential technology for future-generation wireless networks to support extremely high data rates with a broader coverage area. In this work, with an aim to provide a novel analytical framework, we investigate the performance of a STAR-RIS assisted full duplex (FD) wireless communication system under finite block length (FBL) transmission. In particular, we first derive the probability density function and cumulative distribution function of the signal-to-interference-plus-noise ratio (SINR) for the uplink and downlink users. We then analyze the system performance by deriving closed form expressions for their block error rate (BLER) and goodput. Finally, we validate the accuracy of the derived analytical expressions using Monte-Carlo simulations and show that as the number of elements in the STAR-RIS is increased the system performance also improves. Furthermore, we graphically demonstrate the impact of imperfect channel state information and compare the performance of STAR-RIS in mode switching (MS) and energy splitting (ES) protocol.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123855518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118690
Qu Luo, Zeina Mheich, Gaojie Chen, Pei Xiao, Zilong Liu
Non-orthogonal multiple access (NOMA) is a promising candidate radio access technology for future wireless communication systems, which can achieve improved connectivity and spectral efficiency. Without sacrificing error rate performance, link adaptation combining with adaptive modulation and coding (AMC) and hybrid automatic repeat request (HARQ) can provide better spectral efficiency and reliable data transmission by allowing both power and rate to adapt to channel fading and enabling re-transmissions. However, current AMC or HARQ schemes may not be preferable for NOMA systems due to the imperfect channel estimation and error propagation during successive interference cancellation (SIC). To address this problem, a reinforcement learning based link adaptation scheme for downlink NOMA systems is introduced in this paper. Specifically, we first analyze the throughput and spectrum efficiency of NOMA system with AMC combined with HARQ. Then, taking into account the imperfections of channel estimation and error propagation in SIC, we propose SINR and SNR based corrections to correct the modulation and coding scheme selection. Finally, reinforcement learning (RL) is developed to optimize the SNR and SINR correction process. Comparing with a conventional fixed look-up table based scheme, the proposed solutions achieve superior performance in terms of spectral efficiency and packet error performance.
{"title":"Reinforcement Learning Aided Link Adaptation for Downlink NOMA Systems With Channel Imperfections","authors":"Qu Luo, Zeina Mheich, Gaojie Chen, Pei Xiao, Zilong Liu","doi":"10.1109/WCNC55385.2023.10118690","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118690","url":null,"abstract":"Non-orthogonal multiple access (NOMA) is a promising candidate radio access technology for future wireless communication systems, which can achieve improved connectivity and spectral efficiency. Without sacrificing error rate performance, link adaptation combining with adaptive modulation and coding (AMC) and hybrid automatic repeat request (HARQ) can provide better spectral efficiency and reliable data transmission by allowing both power and rate to adapt to channel fading and enabling re-transmissions. However, current AMC or HARQ schemes may not be preferable for NOMA systems due to the imperfect channel estimation and error propagation during successive interference cancellation (SIC). To address this problem, a reinforcement learning based link adaptation scheme for downlink NOMA systems is introduced in this paper. Specifically, we first analyze the throughput and spectrum efficiency of NOMA system with AMC combined with HARQ. Then, taking into account the imperfections of channel estimation and error propagation in SIC, we propose SINR and SNR based corrections to correct the modulation and coding scheme selection. Finally, reinforcement learning (RL) is developed to optimize the SNR and SINR correction process. Comparing with a conventional fixed look-up table based scheme, the proposed solutions achieve superior performance in terms of spectral efficiency and packet error performance.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127931388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118986
Xinliang Zhang, M. Vaezi
A deep autoencoder (DAE)-based communication over the two-user Z-interference channel (ZIC) is introduced in this paper. The proposed DAE-ZIC is designed to minimize the bit error rate (BER) in the presence of interference by jointly optimizing the encoders and decoders. Effectively, this is an end-to-end communication that designs new constellations for the ZIC. Normalization layers are embedded in the proposed DAE design to realize an average power constraint so that there are no regular shape restrictions on the constellation symbols. We compare the performance of the DAE-ZIC with two baseline methods, which are ZIC with regular and rotated constellations. Simulation results show a significant gain in BER reduction. On average, in weak, moderate, and strong regimes, 31%–75% BER improvement is achieved compared to the best existing methods.
{"title":"Deep Autoencoder-based Z-Interference Channels","authors":"Xinliang Zhang, M. Vaezi","doi":"10.1109/WCNC55385.2023.10118986","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118986","url":null,"abstract":"A deep autoencoder (DAE)-based communication over the two-user Z-interference channel (ZIC) is introduced in this paper. The proposed DAE-ZIC is designed to minimize the bit error rate (BER) in the presence of interference by jointly optimizing the encoders and decoders. Effectively, this is an end-to-end communication that designs new constellations for the ZIC. Normalization layers are embedded in the proposed DAE design to realize an average power constraint so that there are no regular shape restrictions on the constellation symbols. We compare the performance of the DAE-ZIC with two baseline methods, which are ZIC with regular and rotated constellations. Simulation results show a significant gain in BER reduction. On average, in weak, moderate, and strong regimes, 31%–75% BER improvement is achieved compared to the best existing methods.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128984424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118999
Zachary Osterwisch, Alexander Mauntel, Nathanael Nisbett, Dibbya Barua, Ahmad Alsharoa
This paper proposes a novel portable prototype and self-contained Air Quality (AQ) monitoring device that utilizes Light Detection and Ranging (LiDAR) technology to take its measurements. The novel device aims to improve mining safety by collecting and analyzing the AQ inside mines and displaying the real-time conditions to personnel. The intent is to create a 3D map of the environment and display potentially hazardous Atmospheric Particulate Matter (APM). To achieve this goal, we prototype a portable, compact, and easy-to-operate system that utilizes LiDAR to detect APM. Then, we propose how the collected data can be used to calculate real-time AQ conditions. Finally, we illustrate selected results to show the importance and feasibility of our novel prototype.
{"title":"Particulate Matter Detection in Mines Using 3D Light Detection and Ranging Technology","authors":"Zachary Osterwisch, Alexander Mauntel, Nathanael Nisbett, Dibbya Barua, Ahmad Alsharoa","doi":"10.1109/WCNC55385.2023.10118999","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118999","url":null,"abstract":"This paper proposes a novel portable prototype and self-contained Air Quality (AQ) monitoring device that utilizes Light Detection and Ranging (LiDAR) technology to take its measurements. The novel device aims to improve mining safety by collecting and analyzing the AQ inside mines and displaying the real-time conditions to personnel. The intent is to create a 3D map of the environment and display potentially hazardous Atmospheric Particulate Matter (APM). To achieve this goal, we prototype a portable, compact, and easy-to-operate system that utilizes LiDAR to detect APM. Then, we propose how the collected data can be used to calculate real-time AQ conditions. Finally, we illustrate selected results to show the importance and feasibility of our novel prototype.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128785410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10119058
Torge Mewes, Stephan Zeitz, Peter Neuhaus, Meik Dörpinghaus, G. Fettweis
Utilizing 1-bit quantization at the analog-to-digital converter (ADC) is a promising approach to reduce the problematically high power consumption of high resolution ADCs in millimeter-wave (mmWave) and sub-terahertz (THz) communications. However, as 1-bit quantization is a highly nonlinear operation standard channel estimation algorithms cannot be applied. Therefore, we study algorithms for channel estimation in receivers with 1-bit quantization under consideration of a two-wave with diffuse power (TWDP) fading channel model, which was shown to be a realistic model for indoor communications in the mmWave regime. We combine maximum-likelihood (ML) amplitude estimation with a least-squares (LS) phase estimation approach known from literature to estimate the fading channel based on blocks of pilot symbols periodically inserted into the transmit symbol sequence. Furthermore, we apply Wiener filtering for interpolation of the channel estimates at the data blocks. The estimation performance of the proposed algorithms is evaluated numerically in terms of the mean squared error (MSE) and the suitability of the approach is demonstrated by evaluating the coded block error rate (BLER) for an exemplary system in comparison to the case with perfect channel knowledge. Our results show that almost the same BLER can be achieved by utilizing the derived estimation approach as compared to a system with perfect channel knowledge.
{"title":"Channel Estimation for Two-Wave with Diffuse Power Fading Channels under 1-bit Quantization","authors":"Torge Mewes, Stephan Zeitz, Peter Neuhaus, Meik Dörpinghaus, G. Fettweis","doi":"10.1109/WCNC55385.2023.10119058","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119058","url":null,"abstract":"Utilizing 1-bit quantization at the analog-to-digital converter (ADC) is a promising approach to reduce the problematically high power consumption of high resolution ADCs in millimeter-wave (mmWave) and sub-terahertz (THz) communications. However, as 1-bit quantization is a highly nonlinear operation standard channel estimation algorithms cannot be applied. Therefore, we study algorithms for channel estimation in receivers with 1-bit quantization under consideration of a two-wave with diffuse power (TWDP) fading channel model, which was shown to be a realistic model for indoor communications in the mmWave regime. We combine maximum-likelihood (ML) amplitude estimation with a least-squares (LS) phase estimation approach known from literature to estimate the fading channel based on blocks of pilot symbols periodically inserted into the transmit symbol sequence. Furthermore, we apply Wiener filtering for interpolation of the channel estimates at the data blocks. The estimation performance of the proposed algorithms is evaluated numerically in terms of the mean squared error (MSE) and the suitability of the approach is demonstrated by evaluating the coded block error rate (BLER) for an exemplary system in comparison to the case with perfect channel knowledge. Our results show that almost the same BLER can be achieved by utilizing the derived estimation approach as compared to a system with perfect channel knowledge.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129957401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118803
Omesh A. Fernando, Hannan Xiao, Joseph Spring
This paper presents a new Intrusion Detection System (IDS) using a 3 layer Convolutional Neural Network (CNN), capable of identifying malicious network traffic. We employ a new injective algorithm to encode network traffic without loss of information. We also include a new algorithm to decode, encoded RGB images back into network traffic. We evaluate the proposed IDS in terms of its computational complexity in for example: time, memory and CPU utilisation for the encoding and decoding algorithms, and its accuracy and loss during training and detection. Lastly, we compare the proposed IDS against a significant IDS algorithm that uses a different approach for encoding, decoding and CNN detection.
{"title":"New Algorithms for the Detection of Malicious Traffic in 5G-MEC","authors":"Omesh A. Fernando, Hannan Xiao, Joseph Spring","doi":"10.1109/WCNC55385.2023.10118803","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118803","url":null,"abstract":"This paper presents a new Intrusion Detection System (IDS) using a 3 layer Convolutional Neural Network (CNN), capable of identifying malicious network traffic. We employ a new injective algorithm to encode network traffic without loss of information. We also include a new algorithm to decode, encoded RGB images back into network traffic. We evaluate the proposed IDS in terms of its computational complexity in for example: time, memory and CPU utilisation for the encoding and decoding algorithms, and its accuracy and loss during training and detection. Lastly, we compare the proposed IDS against a significant IDS algorithm that uses a different approach for encoding, decoding and CNN detection.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130628709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118751
Aleksandar Ichkov, P. Mähönen, L. Simić
We study the problem of joint user association and beam pair link (BPL) allocation in millimeter-wave (mm-wave) cellular networks. We propose two interference-aware strategies – a centralized and a distributed one – and evaluate their performance based on site-specific directional channel data and realistic antenna models. Our results show that using idealized sectored antenna models severely underestimates the spatial interference, considering the non-negligible sidelobes of realistic antenna arrays which strongly limit the achievable spatial separation of the allocated BPLs in mm-wave networks using beam codebooks. We also show that intra-cell interference is the dominant interference component for all allocated users, in contrast to assumptions in the prior literature. By exploiting non line-of-sight BPLs, our interference-aware strategies achieve significant performance gains over interference-agnostic 5G-NR default user association to the strongest base station and BPL, as well as outperforming a centralized, load-balancing literature benchmark. Our proposed strategies rely solely on downlink 5G-NR reference signals for channel state information updates, making them attractive for practical codebook-based mm-wave cellular networks.
{"title":"Interference-Aware User Association and Beam Pair Link Allocation in mm-Wave Cellular Networks","authors":"Aleksandar Ichkov, P. Mähönen, L. Simić","doi":"10.1109/WCNC55385.2023.10118751","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118751","url":null,"abstract":"We study the problem of joint user association and beam pair link (BPL) allocation in millimeter-wave (mm-wave) cellular networks. We propose two interference-aware strategies – a centralized and a distributed one – and evaluate their performance based on site-specific directional channel data and realistic antenna models. Our results show that using idealized sectored antenna models severely underestimates the spatial interference, considering the non-negligible sidelobes of realistic antenna arrays which strongly limit the achievable spatial separation of the allocated BPLs in mm-wave networks using beam codebooks. We also show that intra-cell interference is the dominant interference component for all allocated users, in contrast to assumptions in the prior literature. By exploiting non line-of-sight BPLs, our interference-aware strategies achieve significant performance gains over interference-agnostic 5G-NR default user association to the strongest base station and BPL, as well as outperforming a centralized, load-balancing literature benchmark. Our proposed strategies rely solely on downlink 5G-NR reference signals for channel state information updates, making them attractive for practical codebook-based mm-wave cellular networks.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130376326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10119113
Jörn Jochims, Jianshuang Xu, J. Klein, R. Kays
For short range data transmission, Visible Light Communication (VLC), in which data is transmitted in the visible light spectrum, is a very interesting alternative to classical radio frequency transmission. Display-camera communication is one variant of such VLC systems, using displays as transmitters and cameras as receivers. The properties and possibilities of these channels are currently subject to research. In this paper, a model for the display-camera channel is presented. The model is then adapted to differential display-camera communication, which enables an imperceptible data transmission while still using the transmitting display for image content presentation. With this model, the available channel capacity is derived and determined for a selection of measured display-camera combinations. Knowledge of the available channel capacity will help designing and optimizing forward error correction procedures for the differential display-camera channel.
{"title":"Channel Model and Capacity for Differential Display-Camera Communication","authors":"Jörn Jochims, Jianshuang Xu, J. Klein, R. Kays","doi":"10.1109/WCNC55385.2023.10119113","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119113","url":null,"abstract":"For short range data transmission, Visible Light Communication (VLC), in which data is transmitted in the visible light spectrum, is a very interesting alternative to classical radio frequency transmission. Display-camera communication is one variant of such VLC systems, using displays as transmitters and cameras as receivers. The properties and possibilities of these channels are currently subject to research. In this paper, a model for the display-camera channel is presented. The model is then adapted to differential display-camera communication, which enables an imperceptible data transmission while still using the transmitting display for image content presentation. With this model, the available channel capacity is derived and determined for a selection of measured display-camera combinations. Knowledge of the available channel capacity will help designing and optimizing forward error correction procedures for the differential display-camera channel.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131078019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/wcnc55385.2023.10118665
{"title":"Welcome from the General Co-Chair","authors":"","doi":"10.1109/wcnc55385.2023.10118665","DOIUrl":"https://doi.org/10.1109/wcnc55385.2023.10118665","url":null,"abstract":"","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130306581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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