Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072716
P. Miao, Hui Peng, Yu Yao, Peng Chen, Darming Tian
Inspired by the model-solving procedure of Volterra equalizer, an efficient nonlinear post equalization (NPE) is proposed to mitigate the channel nonlinearity in visible light communications (VLCs). Our insight is to employ the Volterra feature as spatial input, and then deploy the convolutional neural network to extract the ambiguity and implicit of nonlinearity feature. After that, we use the long-short term memory network for predicting the original transmitted signal from the received ones. Simulation results show that the proposed NPE can converge to the desired target loss with a comforting speed at the training phase and can provide the well-compensation for the overall nonlinearity at the testing phase. Moreover, compared with the conventional equalizer, the proposed one can achieve an excellent recovery accuracy and bit error rate performance, showing the validity for channel nonlinearity compensation in VLC system.
{"title":"Performance Study of Model-Driven Based Neural Network for VLC Channel Impairments Compensation","authors":"P. Miao, Hui Peng, Yu Yao, Peng Chen, Darming Tian","doi":"10.1109/ICCT56141.2022.10072716","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072716","url":null,"abstract":"Inspired by the model-solving procedure of Volterra equalizer, an efficient nonlinear post equalization (NPE) is proposed to mitigate the channel nonlinearity in visible light communications (VLCs). Our insight is to employ the Volterra feature as spatial input, and then deploy the convolutional neural network to extract the ambiguity and implicit of nonlinearity feature. After that, we use the long-short term memory network for predicting the original transmitted signal from the received ones. Simulation results show that the proposed NPE can converge to the desired target loss with a comforting speed at the training phase and can provide the well-compensation for the overall nonlinearity at the testing phase. Moreover, compared with the conventional equalizer, the proposed one can achieve an excellent recovery accuracy and bit error rate performance, showing the validity for channel nonlinearity compensation in VLC system.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127887466","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 : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072744
Yuhong Bao, L. Lei, Xiaoqin Song, Lijuan Zhang
Time synchronization is indispensable in Unmanned Aerial Vehicle (UAV) networks. The synchronization between nodes is realized through the exchange of packets. At present, there are few protocols that provide an effective solution to the packet conflict problem in synchronization. In this paper, a contention window optimized time synchronization protocol for efficient conflict avoidance is proposed. Considering the state transition of nodes in different conflicting situations, a three-dimensional Markov chain model is used to analyze the packet transmission contention phase. The relationship between the conflict probability, synchronization time and the value of the contention window size in the network is determined by the model. Simulation results show that the proposed scheme has significant advantages in synchronization efficiency compared with other protocols.
{"title":"On the Optimization of Synchronization Efficiency in Multi-hop Ad-Hoc Networks","authors":"Yuhong Bao, L. Lei, Xiaoqin Song, Lijuan Zhang","doi":"10.1109/ICCT56141.2022.10072744","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072744","url":null,"abstract":"Time synchronization is indispensable in Unmanned Aerial Vehicle (UAV) networks. The synchronization between nodes is realized through the exchange of packets. At present, there are few protocols that provide an effective solution to the packet conflict problem in synchronization. In this paper, a contention window optimized time synchronization protocol for efficient conflict avoidance is proposed. Considering the state transition of nodes in different conflicting situations, a three-dimensional Markov chain model is used to analyze the packet transmission contention phase. The relationship between the conflict probability, synchronization time and the value of the contention window size in the network is determined by the model. Simulation results show that the proposed scheme has significant advantages in synchronization efficiency compared with other protocols.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128682199","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}
Terahertz wireless communication meets the transmission needs of future networks with its ultra-high bandwidth. However, its practical application is seriously restricted by its large path loss and severe blocking effect. The intelligent reflecting surface and device-to-device technologies can be expected to assist terahertz communication to solve the above problems. However, the corresponding research is still at the initial stage. Under the circumstances, this paper summarizes the existing research results and analyzes the potential of application of intelligent reflecting surface and device-to-device technologies in terahertz communication.
{"title":"A Survey on Terahertz Communication Theory Assisted by Intelligent Reflecting Surface and Device-to-Device Technologies","authors":"Wei Xun, Yaxuan Liu, Yiyang Ni, Haitao Zhao, Zhuoran Xu, Xingfeng Ge","doi":"10.1109/ICCT56141.2022.10073033","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073033","url":null,"abstract":"Terahertz wireless communication meets the transmission needs of future networks with its ultra-high bandwidth. However, its practical application is seriously restricted by its large path loss and severe blocking effect. The intelligent reflecting surface and device-to-device technologies can be expected to assist terahertz communication to solve the above problems. However, the corresponding research is still at the initial stage. Under the circumstances, this paper summarizes the existing research results and analyzes the potential of application of intelligent reflecting surface and device-to-device technologies in terahertz communication.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128726174","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 : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072757
Zijun Hu, Xinliang Chen, Zhennan Liang, Bowen Cai
With the continuous development of Digital Radio Frequency Memory (DRFM) technology, radar working condition is seriously threatened by various activate jamming, echo of true target will be mixed or covered by jamming. In this condition, splitting features extracted by modulating splitting code into the process of pulse compression present greatly difference between true target and jamming, and then this paper proposes a jamming identification method based on splitting feature and Swin Transformer (shifted window Transformer) neural network which can effectively distinguish the typical jamming, achieve classification task, and improve detection performance and recognition accuracy. Finally, the verification result of measured data shows that true target and jamming can be recognized perfectly.
{"title":"Identification of Active Jamming Based on Swin Transformer Model and Splitting Features","authors":"Zijun Hu, Xinliang Chen, Zhennan Liang, Bowen Cai","doi":"10.1109/ICCT56141.2022.10072757","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072757","url":null,"abstract":"With the continuous development of Digital Radio Frequency Memory (DRFM) technology, radar working condition is seriously threatened by various activate jamming, echo of true target will be mixed or covered by jamming. In this condition, splitting features extracted by modulating splitting code into the process of pulse compression present greatly difference between true target and jamming, and then this paper proposes a jamming identification method based on splitting feature and Swin Transformer (shifted window Transformer) neural network which can effectively distinguish the typical jamming, achieve classification task, and improve detection performance and recognition accuracy. Finally, the verification result of measured data shows that true target and jamming can be recognized perfectly.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124900757","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 : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072536
Zhang Chen, Zhihu Wei, Jia-liang Zhu
In this paper, we make the sensitivity analysis on the RF-PWM signal performance metrics with respect to the delay mismatches. First, the delay mismatches in the five-level outphasing digital transmitter architecture are modeled and sorted into three categories. Then, a closed-form expression of the total delay mismatches among random outphasing outputs is proposed, in terms of the outphasing RF-PWM principle and digital delay line characteristic. Finally, numerical simulations in MATLAB were used to analyze the EVM, ACPR and harmonics elimination performances affected by delay mismatches in three different scenarios. We find the EVM and the third-harmonic are very sensitive to delay mismatches, while ACPRs even perform better. Besides, we make a brief discussion on the observed asymmetry and periodicity of the simulation results in all scenes.
{"title":"Delay Mismatches Analysis for Multi-level Outphasing Digital Transmitters","authors":"Zhang Chen, Zhihu Wei, Jia-liang Zhu","doi":"10.1109/ICCT56141.2022.10072536","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072536","url":null,"abstract":"In this paper, we make the sensitivity analysis on the RF-PWM signal performance metrics with respect to the delay mismatches. First, the delay mismatches in the five-level outphasing digital transmitter architecture are modeled and sorted into three categories. Then, a closed-form expression of the total delay mismatches among random outphasing outputs is proposed, in terms of the outphasing RF-PWM principle and digital delay line characteristic. Finally, numerical simulations in MATLAB were used to analyze the EVM, ACPR and harmonics elimination performances affected by delay mismatches in three different scenarios. We find the EVM and the third-harmonic are very sensitive to delay mismatches, while ACPRs even perform better. Besides, we make a brief discussion on the observed asymmetry and periodicity of the simulation results in all scenes.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126477768","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 : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072530
Kun-Chang Liu, Xin Xiang, Wanze Zheng, Yishi Sun, Liyan Yin, C. Li
The degeneration of signal time-frequency characteristics has impeded the performance of correlation algorithms. To address this issue, a generative adversarial network (GAN)-based recognition framework is proposed for aeronautical wireless communication systems. It consists of GAN and different dimensional of recognition networks. Firstly, we transform the sampling signals into time-frequency (TF) maps using a short-time Fourier transform (STFT), which shows an apparent signal frequency variation with time. And then, we design an improved GAN, transferring the TF maps affected by the multipath effect into pure maps, to weaken the interference of channels. Next, we put forward the two-dimensional (2D) recognition networks to extract signal time-frequency characteristics, and a deep long short-term memory (LSTM) network was introduced to obtain the time correlation from the TF maps. The experimental results show that the performance of the proposed GAN-based recognition framework is superior to that of conventional algorithms, especially performing in aeronautical multipath wireless channels. When the channel parameters change rapidly, the recognition rate of the proposed algorithm is more than 95.0%.
{"title":"Spectrum Analysis for Modulation Classification in Aeronautical Wireless Communication Systems","authors":"Kun-Chang Liu, Xin Xiang, Wanze Zheng, Yishi Sun, Liyan Yin, C. Li","doi":"10.1109/ICCT56141.2022.10072530","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072530","url":null,"abstract":"The degeneration of signal time-frequency characteristics has impeded the performance of correlation algorithms. To address this issue, a generative adversarial network (GAN)-based recognition framework is proposed for aeronautical wireless communication systems. It consists of GAN and different dimensional of recognition networks. Firstly, we transform the sampling signals into time-frequency (TF) maps using a short-time Fourier transform (STFT), which shows an apparent signal frequency variation with time. And then, we design an improved GAN, transferring the TF maps affected by the multipath effect into pure maps, to weaken the interference of channels. Next, we put forward the two-dimensional (2D) recognition networks to extract signal time-frequency characteristics, and a deep long short-term memory (LSTM) network was introduced to obtain the time correlation from the TF maps. The experimental results show that the performance of the proposed GAN-based recognition framework is superior to that of conventional algorithms, especially performing in aeronautical multipath wireless channels. When the channel parameters change rapidly, the recognition rate of the proposed algorithm is more than 95.0%.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126241339","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}
With the development and using of clean energy, more and more distributed generations including photovoltaic panels, which can generate the power by consuming the new and renewable energy are connected to the system. However, the power grid system is vulnerable to attack due to the greater load pressure and security risks. This paper presents a third-party load aggregation platform interactive data anomaly detection method based on multi-dimensional feature information fusion and deep residual network analysis in a comprehensive energy scenario. The method we proposed can collect, extract and analyze the interactive data of the third-party load aggregation platform, and then analyze and detect the anomaly of the load data collected by the platform from the perspective of multi-dimensional feature fusion analysis. Specifically, by extracting the initial data features of the multi-dimensional third-party load platform, this paper adopts wavelet transform and spectral clustering technology to denoise, filter pseudo data features and perform feature clustering analysis due to the magnanimity and dynamic acquisition characteristics of power load data; Then, by using the cross layer direct connected edge characteristics of the depth residual network, the error back propagation attenuation in the depth learning is constructed, and the depth network model of abnormal data detection is trained to achieve the task of abnormal data detection of the third-party load aggregation platform interactive data. The main contribution of this paper is that the method of the third-party load aggregation platform interactive data anomaly detection based on multi-dimensional feature information fusion and deep residual network is presented, and the test results have shown the efficient of the method.
{"title":"Anomaly Detection Method For Interactive Data of Third-Party Load Aggregation Platform Based on Multidimensional Feature Information Fusion","authors":"Xiao Zhang, Chenghao Zheng, Xianglong Wu, Tianpeng Wang, Hailong Gao, Jing Guo","doi":"10.1109/ICCT56141.2022.10072826","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072826","url":null,"abstract":"With the development and using of clean energy, more and more distributed generations including photovoltaic panels, which can generate the power by consuming the new and renewable energy are connected to the system. However, the power grid system is vulnerable to attack due to the greater load pressure and security risks. This paper presents a third-party load aggregation platform interactive data anomaly detection method based on multi-dimensional feature information fusion and deep residual network analysis in a comprehensive energy scenario. The method we proposed can collect, extract and analyze the interactive data of the third-party load aggregation platform, and then analyze and detect the anomaly of the load data collected by the platform from the perspective of multi-dimensional feature fusion analysis. Specifically, by extracting the initial data features of the multi-dimensional third-party load platform, this paper adopts wavelet transform and spectral clustering technology to denoise, filter pseudo data features and perform feature clustering analysis due to the magnanimity and dynamic acquisition characteristics of power load data; Then, by using the cross layer direct connected edge characteristics of the depth residual network, the error back propagation attenuation in the depth learning is constructed, and the depth network model of abnormal data detection is trained to achieve the task of abnormal data detection of the third-party load aggregation platform interactive data. The main contribution of this paper is that the method of the third-party load aggregation platform interactive data anomaly detection based on multi-dimensional feature information fusion and deep residual network is presented, and the test results have shown the efficient of the method.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"46 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113936220","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 : 2022-11-11DOI: 10.1109/ICCT56141.2022.10073117
Xinyue Zhou, Yingjie Yang, J. Zhang, Yan-Yan Wang, Li Li
Compressive sensing techniques are widely leveraged to realize the active user detection of grant-free access in massive machine-type communications (mMTC). As a class of efficient data reconstruction methods, approximate message passing (AMP) algorithm and their varieties have attracted considerable attentions. However, as a multiple measurement vector (MMV) problem, AMP based active user detection in multi-antennas systems is difficult to converge, especially when the antenna number of base station (BS) and signal-to-noise ratio (SNR) grow to large value. In order to overcome this drawback of existed MMV-AMP algorithm, we develop an enhanced MMV-AMP algorithm that employs an adaptive iteration stopping criterion and a damping operation. Furthermore, deterministic sequences with low coherence are proposed to replace ordinary random preamble sequences, which could further improve the performance of enhanced MMV-AMP. Simulation results confirm that the proposed scheme efficiently improves robustness and stability of MMV-AMP method.
{"title":"Stable and Robust Improvement of AMP for Supporting Massive Connectivity","authors":"Xinyue Zhou, Yingjie Yang, J. Zhang, Yan-Yan Wang, Li Li","doi":"10.1109/ICCT56141.2022.10073117","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073117","url":null,"abstract":"Compressive sensing techniques are widely leveraged to realize the active user detection of grant-free access in massive machine-type communications (mMTC). As a class of efficient data reconstruction methods, approximate message passing (AMP) algorithm and their varieties have attracted considerable attentions. However, as a multiple measurement vector (MMV) problem, AMP based active user detection in multi-antennas systems is difficult to converge, especially when the antenna number of base station (BS) and signal-to-noise ratio (SNR) grow to large value. In order to overcome this drawback of existed MMV-AMP algorithm, we develop an enhanced MMV-AMP algorithm that employs an adaptive iteration stopping criterion and a damping operation. Furthermore, deterministic sequences with low coherence are proposed to replace ordinary random preamble sequences, which could further improve the performance of enhanced MMV-AMP. Simulation results confirm that the proposed scheme efficiently improves robustness and stability of MMV-AMP method.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"20 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114006407","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}
Due to the cost-effective and easy-to-deploy characteristics, WiFi has been widely used in indoor localization. For millimeter wave (mmWave) WiFi indoor communication systems, we develop a two-stage algorithm to achieve user localization and environment reconstruction in this paper. In the first stage, accurate estimation of parameters as well as the reconstructed sparse signal can be obtained through the improved orthogonal matching pursuit (IOMP) algorithm. In second stage, we construct the geometric model of positions, and implement user localization and scattering environment mapping via computation combined with the estimated parameters. The proposed algorithm has low complexity and requires a small number of sub-carriers to realize user localization and environment reconstruction. Simulations verify the effectiveness of the proposed algorithm.
{"title":"An Effective User Localization and Environment Reconstruction Algorithm for WiFi Systems","authors":"Yuan Tang, Zhihai Zhang, Xinhong Pan, Heyun Lin, Yuan Chen","doi":"10.1109/ICCT56141.2022.10072501","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072501","url":null,"abstract":"Due to the cost-effective and easy-to-deploy characteristics, WiFi has been widely used in indoor localization. For millimeter wave (mmWave) WiFi indoor communication systems, we develop a two-stage algorithm to achieve user localization and environment reconstruction in this paper. In the first stage, accurate estimation of parameters as well as the reconstructed sparse signal can be obtained through the improved orthogonal matching pursuit (IOMP) algorithm. In second stage, we construct the geometric model of positions, and implement user localization and scattering environment mapping via computation combined with the estimated parameters. The proposed algorithm has low complexity and requires a small number of sub-carriers to realize user localization and environment reconstruction. Simulations verify the effectiveness of the proposed algorithm.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211981","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 : 2022-11-11DOI: 10.1109/ICCT56141.2022.10073379
P. Zhao, Jia-kuo Zuo, Chenchi Wen
This paper proposes a network of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted simultaneous wireless information and power transfer (SWIPT) system, where time switching (TS) protocol is applied. The objective is to maximize the sum rate of all information decoding receivers (IDRs) via jointly optimizing the power allocation of IDRs, beamforming vectors at the STAR-RIS while taking into account the power of the IDRs and the received energy of energy harvesting receivers (EHRs). To solve the formulated non-convex problem, we first convert the problem into a standard semidefinite programming (SDP) problem, and then solve it by applying Gaussian Randomization algorithm and successive convex approximation (SCA) algorithm. Simulation results prove that the two algorithms can improve the performance of STAR-RIS.
{"title":"Power Allocation and Beamforming Vectors Optimization in STAR-RIS Assisted SWIPT","authors":"P. Zhao, Jia-kuo Zuo, Chenchi Wen","doi":"10.1109/ICCT56141.2022.10073379","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073379","url":null,"abstract":"This paper proposes a network of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted simultaneous wireless information and power transfer (SWIPT) system, where time switching (TS) protocol is applied. The objective is to maximize the sum rate of all information decoding receivers (IDRs) via jointly optimizing the power allocation of IDRs, beamforming vectors at the STAR-RIS while taking into account the power of the IDRs and the received energy of energy harvesting receivers (EHRs). To solve the formulated non-convex problem, we first convert the problem into a standard semidefinite programming (SDP) problem, and then solve it by applying Gaussian Randomization algorithm and successive convex approximation (SCA) algorithm. Simulation results prove that the two algorithms can improve the performance of STAR-RIS.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"95 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114060420","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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