Pub Date : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10012868
Dingcheng Gao, Bingrui Geng, Yiping Duan, Xiaoming Tao, Chengkang Pan
Audiovisual synchronization is an essential indicator of video quality. The degradation in the quality of experience caused by such synchronization errors is often measured using the mean opinion score (MOS). However, this method is susceptible to emotion and bias. Electroencephalography (EEG), as an objective tool, overcomes the drawbacks of subjective testing for evaluating human perception. In this work, we measure the human perception of audio and video synchronization based on the EEG approach through a series of experiments. A scoring model was developed for audio and video under multilevel synchronization errors by extracting the power spectral density (PSD) of EEG signals as features. The use of EEG signals for perceptual ability assessment of audiovisual distortion provides a potential neurally informed approach that is more objective than the high-level cognitive activity in subjective data.
{"title":"Measuring Human Perception of Audiovisual Errors using EEG","authors":"Dingcheng Gao, Bingrui Geng, Yiping Duan, Xiaoming Tao, Chengkang Pan","doi":"10.1109/VTC2022-Fall57202.2022.10012868","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012868","url":null,"abstract":"Audiovisual synchronization is an essential indicator of video quality. The degradation in the quality of experience caused by such synchronization errors is often measured using the mean opinion score (MOS). However, this method is susceptible to emotion and bias. Electroencephalography (EEG), as an objective tool, overcomes the drawbacks of subjective testing for evaluating human perception. In this work, we measure the human perception of audio and video synchronization based on the EEG approach through a series of experiments. A scoring model was developed for audio and video under multilevel synchronization errors by extracting the power spectral density (PSD) of EEG signals as features. The use of EEG signals for perceptual ability assessment of audiovisual distortion provides a potential neurally informed approach that is more objective than the high-level cognitive activity in subjective data.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"2019 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114907469","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}
Holographic multiple-input multiple-output (HMIMO) with a spatially continuous aperture is a promising solution for future radio access to handle the explosively increasing data demands. As a key enabler of HMIMO, the reconfigurable refractive surface (RRS) can serve as an antenna array with numerous programmable radiation elements. In this paper, we consider a multi-user system with an RRS-aided base station (BS) where the transmit signal is refracted by the RRS towards the users. A beamforming scheme is developed via codebook design and beam training. A larger codebook size implies more codewords, each corresponding to a directional beam. When the codebook size increases, the directivity of the refracted beam is enhanced, bringing a higher data rate. However, it also leads to an exponential growth of the training overhead. To achieve the critical tradeoff between the data rate and overhead, we evaluate the system throughput and model the relation between the codebook size of the RRS and the throughput mathematically. The optimal codebook size is then derived given different user distributions. Simulation results verify our theoretical analysis and show the influence of both codebook size and RRS size on the throughput.
{"title":"Rate-Overhead Tradeoff in Beam Training for RRS-Assisted Multi-User Communications","authors":"Shupei Zhang, Yutong Zhang, Boya Di, Hongliang Zhang","doi":"10.1109/VTC2022-Fall57202.2022.10013042","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10013042","url":null,"abstract":"Holographic multiple-input multiple-output (HMIMO) with a spatially continuous aperture is a promising solution for future radio access to handle the explosively increasing data demands. As a key enabler of HMIMO, the reconfigurable refractive surface (RRS) can serve as an antenna array with numerous programmable radiation elements. In this paper, we consider a multi-user system with an RRS-aided base station (BS) where the transmit signal is refracted by the RRS towards the users. A beamforming scheme is developed via codebook design and beam training. A larger codebook size implies more codewords, each corresponding to a directional beam. When the codebook size increases, the directivity of the refracted beam is enhanced, bringing a higher data rate. However, it also leads to an exponential growth of the training overhead. To achieve the critical tradeoff between the data rate and overhead, we evaluate the system throughput and model the relation between the codebook size of the RRS and the throughput mathematically. The optimal codebook size is then derived given different user distributions. Simulation results verify our theoretical analysis and show the influence of both codebook size and RRS size on the throughput.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116488746","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 : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10012734
Yonghong Zeng, Sumei Sun, Yuhong Wang, Yugang Ma
For massive machine type communications (mMTC), it is critical to squeeze the transmission overhead as packet length is usually short and power is limited. Reducing preamble/pilot length for channel estimation is thus very important. In this paper, we propose to use short preamble for channel estimation in generalized frequency division multiplexing (GFDM) communication. Based on the short preamble, we can estimate a short channel first. We then show that the conventional zero-padding method for extending short channel to long channel in GFDM is not accurate. A new efficient method to construct the long effective channel from the obtained short channel is proposed. The proposed new method can construct a long channel for GFDM equalization without knowing the time sync error. It is proved theoretically that the constructed channel is correct given that the length of cyclic prefix (CP) and cyclic suffix (CS) are longer than the original channel length plus the time sync error. Simulations at various situations are shown to verify the results.
{"title":"Fast Channel Estimation for Massive Machine Type Communications1","authors":"Yonghong Zeng, Sumei Sun, Yuhong Wang, Yugang Ma","doi":"10.1109/VTC2022-Fall57202.2022.10012734","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012734","url":null,"abstract":"For massive machine type communications (mMTC), it is critical to squeeze the transmission overhead as packet length is usually short and power is limited. Reducing preamble/pilot length for channel estimation is thus very important. In this paper, we propose to use short preamble for channel estimation in generalized frequency division multiplexing (GFDM) communication. Based on the short preamble, we can estimate a short channel first. We then show that the conventional zero-padding method for extending short channel to long channel in GFDM is not accurate. A new efficient method to construct the long effective channel from the obtained short channel is proposed. The proposed new method can construct a long channel for GFDM equalization without knowing the time sync error. It is proved theoretically that the constructed channel is correct given that the length of cyclic prefix (CP) and cyclic suffix (CS) are longer than the original channel length plus the time sync error. Simulations at various situations are shown to verify the results.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123731859","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 : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10012710
Makhmoor Fiza Murk, Noman Zahid, Ali Hassan Sodhro, Bilal Zahid
Smart grid is a two-way communication technology power system that sends information between the control server and consumer. It consists of different IoTs connected to a smart meter, creating a network known as the HAN home area network, and collections of these smart meters form a NAN neighbor area network. This data has been transferred to a WAN-wide area network, where the control server will share and analyze the information. The information shared in all layers has been secured in order to maintain this infrastructure. Traditional systems like firewalls’ general cryptographic techniques can detect anomalies for known attacks, but they sometimes fail to provide efficient security for unknown or real-time attacks. There should be a complete framework to detect real-time intruders and attacks. Here, NIDS using machine learning approach has been discussed in this survey report. Most ML techniques are able to detect real-time attacks with less time overhead and higher accuracy. On the basis of accuracy, detection rate, and F1 score, ten different types of datasets were evaluated and analyzed.
{"title":"Decentralized Smart Grid System:A Survey On Machine Learning-Based Intrusion Detection Approaches","authors":"Makhmoor Fiza Murk, Noman Zahid, Ali Hassan Sodhro, Bilal Zahid","doi":"10.1109/VTC2022-Fall57202.2022.10012710","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012710","url":null,"abstract":"Smart grid is a two-way communication technology power system that sends information between the control server and consumer. It consists of different IoTs connected to a smart meter, creating a network known as the HAN home area network, and collections of these smart meters form a NAN neighbor area network. This data has been transferred to a WAN-wide area network, where the control server will share and analyze the information. The information shared in all layers has been secured in order to maintain this infrastructure. Traditional systems like firewalls’ general cryptographic techniques can detect anomalies for known attacks, but they sometimes fail to provide efficient security for unknown or real-time attacks. There should be a complete framework to detect real-time intruders and attacks. Here, NIDS using machine learning approach has been discussed in this survey report. Most ML techniques are able to detect real-time attacks with less time overhead and higher accuracy. On the basis of accuracy, detection rate, and F1 score, ten different types of datasets were evaluated and analyzed.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121887881","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 : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10012886
Hao Sun, Xiaohang Yang, Ying Zhu, Zhiqin Wang
Over-the-Air (OTA) testing, due to its capacity of reproducing the desired radio channels in lab environments, is considered as the promising testing solution for 5G multi-input-multi-output (MIMO) devices, especially for 5G massive MIMO base station (BS). A sectored multi-probe anechoic chamber (MPAC) OTA system for 5G massive MIMO BS testing has been proposed and discussed in many literatures. The probe selection is essential for 5G BS OTA testing, since the MPAC system cost is determined by the ports of channel emulator, i.e., the number of OTA probes. However, the classical convex-optimization-based probe selection method becomes complexity-prohibitive compared with the 2D MPAC system, due to the large amount of candidate probes. This paper proposes a novel probe selection for 5G BS OTA testing with MPAC setup based on the compressed sensing theory. The simulation results indicate that the proposed method can achieve high performance over single-cluster and multi-cluster channel models, in terms of high emulation accuracy and low computational complexity.
{"title":"An Efficient Probe Selection Method for 5G Base Station OTA Testing with MPAC Setup","authors":"Hao Sun, Xiaohang Yang, Ying Zhu, Zhiqin Wang","doi":"10.1109/VTC2022-Fall57202.2022.10012886","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012886","url":null,"abstract":"Over-the-Air (OTA) testing, due to its capacity of reproducing the desired radio channels in lab environments, is considered as the promising testing solution for 5G multi-input-multi-output (MIMO) devices, especially for 5G massive MIMO base station (BS). A sectored multi-probe anechoic chamber (MPAC) OTA system for 5G massive MIMO BS testing has been proposed and discussed in many literatures. The probe selection is essential for 5G BS OTA testing, since the MPAC system cost is determined by the ports of channel emulator, i.e., the number of OTA probes. However, the classical convex-optimization-based probe selection method becomes complexity-prohibitive compared with the 2D MPAC system, due to the large amount of candidate probes. This paper proposes a novel probe selection for 5G BS OTA testing with MPAC setup based on the compressed sensing theory. The simulation results indicate that the proposed method can achieve high performance over single-cluster and multi-cluster channel models, in terms of high emulation accuracy and low computational complexity.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122016397","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 : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10013061
Xun Wang, Mu Jia, Xinjie Meng, Tingting Zhang
Due to the existence of numerous scatters and reflectors, the multipath propagation which leads to false alarms (or ghost images) will be challenging for accurate radar sensing systems in complex environments. In this paper, we use the frequency modulated continuous wave radar to obtain the range-Doppler information of targets. Aiming at the ghost images in low signal to noise ratio (SNR) regimes, we try to extend the existing low-complexity multi-target ghost recognition solution in low SNR regimes. Generally, we try to fuse measurements from different radars and observations, respectively, to improve the target detection quality. Since there exist errors in both range/velocity measurements and radar positions, we adopt a particle based clustering algorithm, to guarantee the robustness of the solution. Simulations and numeric results are provided and analyzed.
{"title":"Multipath Ghosts Mitigation for Radar-based Positioning Systems","authors":"Xun Wang, Mu Jia, Xinjie Meng, Tingting Zhang","doi":"10.1109/VTC2022-Fall57202.2022.10013061","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10013061","url":null,"abstract":"Due to the existence of numerous scatters and reflectors, the multipath propagation which leads to false alarms (or ghost images) will be challenging for accurate radar sensing systems in complex environments. In this paper, we use the frequency modulated continuous wave radar to obtain the range-Doppler information of targets. Aiming at the ghost images in low signal to noise ratio (SNR) regimes, we try to extend the existing low-complexity multi-target ghost recognition solution in low SNR regimes. Generally, we try to fuse measurements from different radars and observations, respectively, to improve the target detection quality. Since there exist errors in both range/velocity measurements and radar positions, we adopt a particle based clustering algorithm, to guarantee the robustness of the solution. Simulations and numeric results are provided and analyzed.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124048132","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 : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10012735
Yuxin Ji, Xixi Zhang, Yu Wang, H. Gačanin, H. Sari, F. Adachi, Guan Gui
To address the problem of spectrum resources and transmitting power for vehicular networks, this paper proposes a resource allocation (RA) method based on dueling double deep-Q network (D3QN) reinforcement learning (RL). Due to the high mobility of the vehicle, the channel changes rapidly which makes it difficult to accurately collect high-accuracy channel state information at the base station and to perform centralized management. In response of this difficulty, we construct a multi-intelligence model, using Manhattan Grid Layout City Model as the basis of environment and with each vehicle-to-vehicle (V2V) link as an intelligence. They work together to interact with the environment, receive appropriate observations, get rewards, and finally learn to improve the allocation of power and spectrum to enable users to achieve a better entertainment experience and a safer driving environment. Experimental results demonstrate that with proper training mechanism and reward function construction, cooperation among multiple intelligence can be performed in a distributed manner, with improvements in both the capacity of total vehicle-to-infrastructure links and the effective payload delivery success rate of the V2V links compared to common Q-network.
{"title":"Multi-Agent Reinforcement Learning Aided Resources Allocation Method in Vehicular Networks","authors":"Yuxin Ji, Xixi Zhang, Yu Wang, H. Gačanin, H. Sari, F. Adachi, Guan Gui","doi":"10.1109/VTC2022-Fall57202.2022.10012735","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012735","url":null,"abstract":"To address the problem of spectrum resources and transmitting power for vehicular networks, this paper proposes a resource allocation (RA) method based on dueling double deep-Q network (D3QN) reinforcement learning (RL). Due to the high mobility of the vehicle, the channel changes rapidly which makes it difficult to accurately collect high-accuracy channel state information at the base station and to perform centralized management. In response of this difficulty, we construct a multi-intelligence model, using Manhattan Grid Layout City Model as the basis of environment and with each vehicle-to-vehicle (V2V) link as an intelligence. They work together to interact with the environment, receive appropriate observations, get rewards, and finally learn to improve the allocation of power and spectrum to enable users to achieve a better entertainment experience and a safer driving environment. Experimental results demonstrate that with proper training mechanism and reward function construction, cooperation among multiple intelligence can be performed in a distributed manner, with improvements in both the capacity of total vehicle-to-infrastructure links and the effective payload delivery success rate of the V2V links compared to common Q-network.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124665294","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 : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10012785
Weihua Liu, Junchuan Fan, Yuanyuan Zhang, Zeqi Yu, Yong Cui
Interference alignment (IA) is a promising technology to effectively eliminate interference and improve the wireless communication network capacity. However, the low complexity IA solution with high degrees of freedom (DoF) for the multi-cell multi-user cellular network is still an open problem that needs to be solved. To address this problem, in this paper, the two-stage IA scheme for the multi-cell multi-user multiple-input multiple-output (MIMO) interfering broadcast channel (IFBC) model is investigated. Since a multi-cell IFBC is a complex interfering channel model, it is simplified into several simple models. The complex MIMO IFBC model can be first transformed into a simple K-user MIMO interference channel model, by designing the first stage precoding matrix to eliminate inter-cell interference (ICI). Based on the designed first stage precoding matrix, the MIMO IFBC becomes several single-cell MIMO IFBCs, and the second stage precoding matrix can be designed to eliminate inter-user interference (IUI). The high system sum-rate performance and low computational complexity of the proposed IA design scheme are verified through a series of simulations.
{"title":"Low Complexity IA Design for the Multi-Cell MIMO Downlink Cellular Network","authors":"Weihua Liu, Junchuan Fan, Yuanyuan Zhang, Zeqi Yu, Yong Cui","doi":"10.1109/VTC2022-Fall57202.2022.10012785","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012785","url":null,"abstract":"Interference alignment (IA) is a promising technology to effectively eliminate interference and improve the wireless communication network capacity. However, the low complexity IA solution with high degrees of freedom (DoF) for the multi-cell multi-user cellular network is still an open problem that needs to be solved. To address this problem, in this paper, the two-stage IA scheme for the multi-cell multi-user multiple-input multiple-output (MIMO) interfering broadcast channel (IFBC) model is investigated. Since a multi-cell IFBC is a complex interfering channel model, it is simplified into several simple models. The complex MIMO IFBC model can be first transformed into a simple K-user MIMO interference channel model, by designing the first stage precoding matrix to eliminate inter-cell interference (ICI). Based on the designed first stage precoding matrix, the MIMO IFBC becomes several single-cell MIMO IFBCs, and the second stage precoding matrix can be designed to eliminate inter-user interference (IUI). The high system sum-rate performance and low computational complexity of the proposed IA design scheme are verified through a series of simulations.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124829297","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 : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10012927
Rahul Makkar, Venugopalachary Kotha, D. Rawal, Vijay Kumar Chakka, N. Sharma
This paper investigates the error performance of the orthogonal space-time block coding (OSTBC) in non-orthogonal multiple access (NOMA) assisted downlink system in the presence of successive interference cancellation (SIC) errors. In the proposed system model, the base station communicates with multiple users to exploit the benefits of OSTBC in NOMA, like transmit diversity gain and low complexity. The system performance of the proposed OSTBC-NOMA system is analyzed in terms of the average symbol error rate (ASER) over the Rayleigh fading channel model. Further, in order to get a better insight to the system performance, the analysis is conducted over a high SNR regime to obtain diversity order and asymptotic ASER. The analytical results corroborated with Monte-Carlo simulations illustrate that the proposed OSTBC-NOMA system outperforms the conventional NOMA system over different combinations of the modulation scheme. Also, the power allocation coefficient’s impact on the system performance is numerically analyzed.
{"title":"Performance Analysis of OSTBC in NOMA Assisted Downlink System with SIC Errors","authors":"Rahul Makkar, Venugopalachary Kotha, D. Rawal, Vijay Kumar Chakka, N. Sharma","doi":"10.1109/VTC2022-Fall57202.2022.10012927","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012927","url":null,"abstract":"This paper investigates the error performance of the orthogonal space-time block coding (OSTBC) in non-orthogonal multiple access (NOMA) assisted downlink system in the presence of successive interference cancellation (SIC) errors. In the proposed system model, the base station communicates with multiple users to exploit the benefits of OSTBC in NOMA, like transmit diversity gain and low complexity. The system performance of the proposed OSTBC-NOMA system is analyzed in terms of the average symbol error rate (ASER) over the Rayleigh fading channel model. Further, in order to get a better insight to the system performance, the analysis is conducted over a high SNR regime to obtain diversity order and asymptotic ASER. The analytical results corroborated with Monte-Carlo simulations illustrate that the proposed OSTBC-NOMA system outperforms the conventional NOMA system over different combinations of the modulation scheme. Also, the power allocation coefficient’s impact on the system performance is numerically analyzed.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"442 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129517091","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 : 2022-09-01DOI: 10.1109/VTC2022-Fall57202.2022.10013006
Xiaoye Jing, F. Liu, C. Masouros
We consider an unmanned aerial vehicle (UAV) based joint radar localization and communication system, where a UAV transmits the downlink signal to a ground communication user and the transmitted signal is also exploited to localize a target coordinates. We aim to optimize the UAV path with energy constraints. We formulate the trajectory design into a weighted optimization problem, where a scalable performance trade-off between localization and communication can be achieved. An iterative algorithm is exploited then to address the trajectory design formulation. Numerical results are provided to validate the effectiveness of the proposed UAV trajectory design approaches.
{"title":"Path Design for Portable Access Point in Joint Sensing and Communications under Energy Constraints","authors":"Xiaoye Jing, F. Liu, C. Masouros","doi":"10.1109/VTC2022-Fall57202.2022.10013006","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10013006","url":null,"abstract":"We consider an unmanned aerial vehicle (UAV) based joint radar localization and communication system, where a UAV transmits the downlink signal to a ground communication user and the transmitted signal is also exploited to localize a target coordinates. We aim to optimize the UAV path with energy constraints. We formulate the trajectory design into a weighted optimization problem, where a scalable performance trade-off between localization and communication can be achieved. An iterative algorithm is exploited then to address the trajectory design formulation. Numerical results are provided to validate the effectiveness of the proposed UAV trajectory design approaches.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128681097","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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