This paper considers a reconfigurable intelligent surface (RIS) assisted single-input multiple-output (SIMO) sym-biotic radio (SR) system in which an RIS serves as a secondary transmitter (STx) to communicate with a cooperative receiver (C-Rx). The received signals from both primary transmitter (PTx) and the RIS are jointly decoded at the C-Rx using maximum likelihood (ML) detection. In this paper, we are interested in the RIS design to minimize the bit error rate (BER) of the SR system. Considering the coupling effect between the primary and secondary transmissions, we formulate the primary BER minimization problem with the passive energy constraint of each reflecting element at RIS, which can also enhance the secondary BER performance. To solve the formulated problem, a two-step algorithm is proposed based on the semidefinite programming (SDP) and one-dimensional search approaches. Simulation results show that the proposed algorithm outperforms the random beamforming scheme and that the BER performance of both the primary and secondary transmissions are improved when the number of reflective elements in the RIS is sufficiently large. Moreover, even under the random scheme, the BER performance of the secondary transmission is enhanced with growing number of elements at RIS.
{"title":"Reconfigurable Intelligent Surface Design for Symbiotic Radio System Through BER Minimization","authors":"Xiangyu Ding, Qianqian Zhang, Ying-Chang Liang, Yiyang Pei","doi":"10.1109/iccworkshops53468.2022.9814479","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814479","url":null,"abstract":"This paper considers a reconfigurable intelligent surface (RIS) assisted single-input multiple-output (SIMO) sym-biotic radio (SR) system in which an RIS serves as a secondary transmitter (STx) to communicate with a cooperative receiver (C-Rx). The received signals from both primary transmitter (PTx) and the RIS are jointly decoded at the C-Rx using maximum likelihood (ML) detection. In this paper, we are interested in the RIS design to minimize the bit error rate (BER) of the SR system. Considering the coupling effect between the primary and secondary transmissions, we formulate the primary BER minimization problem with the passive energy constraint of each reflecting element at RIS, which can also enhance the secondary BER performance. To solve the formulated problem, a two-step algorithm is proposed based on the semidefinite programming (SDP) and one-dimensional search approaches. Simulation results show that the proposed algorithm outperforms the random beamforming scheme and that the BER performance of both the primary and secondary transmissions are improved when the number of reflective elements in the RIS is sufficiently large. Moreover, even under the random scheme, the BER performance of the secondary transmission is enhanced with growing number of elements at RIS.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133104706","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 : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814537
Paul Riedel, Michael Riesner, Karsten Wendt, U. Assmann
On the one hand, laparoscopic surgery as medical state-of-the-art method is minimal invasive, and thus less stressful for patients. On the other hand, laparoscopy implies higher demands on physicians, such as mental load or preparation time, hence appropriate technical support is essential for quality and suc-cess. Medical Digital Twins provide an integrated and virtual representation of patients' and organs' data, and thus a generic concept to make complex information accessible by surgeons. In this way, minimal invasive surgery could be improved significantly, but requires also a much more complex software system to achieve the various resulting requirements. The biggest challenges for these systems are the safe and precise mapping of the digital twin to reality, i.e. dealing with deformations, movement and distortions, as well as balance out the competing requirement for intuitive and immersive user access and security. The case study ARAILIS is presented as a proof in concept for such a system and provides a starting point for further research. Based on the insights delivered by this prototype, a vision for future Medical Digital Twins in surgery is derived and discussed.
{"title":"Data-Driven Digital Twins in Surgery utilizing Augmented Reality and Machine Learning","authors":"Paul Riedel, Michael Riesner, Karsten Wendt, U. Assmann","doi":"10.1109/iccworkshops53468.2022.9814537","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814537","url":null,"abstract":"On the one hand, laparoscopic surgery as medical state-of-the-art method is minimal invasive, and thus less stressful for patients. On the other hand, laparoscopy implies higher demands on physicians, such as mental load or preparation time, hence appropriate technical support is essential for quality and suc-cess. Medical Digital Twins provide an integrated and virtual representation of patients' and organs' data, and thus a generic concept to make complex information accessible by surgeons. In this way, minimal invasive surgery could be improved significantly, but requires also a much more complex software system to achieve the various resulting requirements. The biggest challenges for these systems are the safe and precise mapping of the digital twin to reality, i.e. dealing with deformations, movement and distortions, as well as balance out the competing requirement for intuitive and immersive user access and security. The case study ARAILIS is presented as a proof in concept for such a system and provides a starting point for further research. Based on the insights delivered by this prototype, a vision for future Medical Digital Twins in surgery is derived and discussed.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115313809","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 : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814690
Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain
We investigate resource allocation scheme to reduce the energy consumption of distributed learning (DL) in the integrated fog-cloud computing enabled Internet of things (IoT) networks. In the envisioned system, IoT devices are connected with the cloud server (CS) via multiple fog access points (F-APs). We consider that local models are trained at the F-APs based on the collected data from the IoT devices and the F-APs collaborate with the CS for updating the model parameters. Our objective is to minimize the overall energy-consumption of F-APs subject to overall computation and communication time constraint. Towards this goal, we devise a joint optimization problem of scheduling of IoT devices with the F-APs, transmit power allocation, computation frequency allocation at the F-APs and decouple it into two subproblems. In the first subproblem, we optimize the IoT device scheduling and power allocation, while in the second subproblem, we optimize the computation frequency allocation. We develop a conflict graph based solution to iteratively solve the two subproblems. Numerical results reveal a considerable performance improvement of the proposed solution in terms of energy consumption minimization over the existing solutions.
{"title":"Energy Efficient Distributed Learning in Integrated Fog-Cloud Computing Enabled IoT Networks","authors":"Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain","doi":"10.1109/iccworkshops53468.2022.9814690","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814690","url":null,"abstract":"We investigate resource allocation scheme to reduce the energy consumption of distributed learning (DL) in the integrated fog-cloud computing enabled Internet of things (IoT) networks. In the envisioned system, IoT devices are connected with the cloud server (CS) via multiple fog access points (F-APs). We consider that local models are trained at the F-APs based on the collected data from the IoT devices and the F-APs collaborate with the CS for updating the model parameters. Our objective is to minimize the overall energy-consumption of F-APs subject to overall computation and communication time constraint. Towards this goal, we devise a joint optimization problem of scheduling of IoT devices with the F-APs, transmit power allocation, computation frequency allocation at the F-APs and decouple it into two subproblems. In the first subproblem, we optimize the IoT device scheduling and power allocation, while in the second subproblem, we optimize the computation frequency allocation. We develop a conflict graph based solution to iteratively solve the two subproblems. Numerical results reveal a considerable performance improvement of the proposed solution in terms of energy consumption minimization over the existing solutions.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114386069","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 : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814701
Jiachi Zhang, Liu Liu, Z. Tan, Kai Wang
Millimeter-wave (mmWave) communication together with beamforming technology is envisioned as key technologies to offer greater bandwidths than previously available. In this paper, we propose a novel semi-deterministic multiple-input multiple-output (MIMO)-based beam channel model for mm Wave communications. First, the transceiver's MIMO-based beams filter out scatterers located outside the beam intersection and the cluster-nuclei is generated. On this basis, the ray tracing (RT) together with propagation-graph (PG) methods are utilized to emulate the reflection and scattering components of the channel transfer function (CTF) for each cluster-nuclei, respectively. Meanwhile, scattering is considered at the last bounce of each reflection path in the macro-cell downlink scenario regarding the asymmetrical obstacles distributions. Besides, the directive scattering model is used to enhance the modeling accuracy for PG. We emulate a macro-cell street scenario and provide related characterization results. Simulation results reveal that our proposal can capture the channel non-stationarities at a low computational cost while guaranteeing relatively high accuracy.
{"title":"A Semi-Deterministic MIMO-based Beam Channel Model of Ray-Tracing and Propagation-Graph for mmWave Communications","authors":"Jiachi Zhang, Liu Liu, Z. Tan, Kai Wang","doi":"10.1109/iccworkshops53468.2022.9814701","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814701","url":null,"abstract":"Millimeter-wave (mmWave) communication together with beamforming technology is envisioned as key technologies to offer greater bandwidths than previously available. In this paper, we propose a novel semi-deterministic multiple-input multiple-output (MIMO)-based beam channel model for mm Wave communications. First, the transceiver's MIMO-based beams filter out scatterers located outside the beam intersection and the cluster-nuclei is generated. On this basis, the ray tracing (RT) together with propagation-graph (PG) methods are utilized to emulate the reflection and scattering components of the channel transfer function (CTF) for each cluster-nuclei, respectively. Meanwhile, scattering is considered at the last bounce of each reflection path in the macro-cell downlink scenario regarding the asymmetrical obstacles distributions. Besides, the directive scattering model is used to enhance the modeling accuracy for PG. We emulate a macro-cell street scenario and provide related characterization results. Simulation results reveal that our proposal can capture the channel non-stationarities at a low computational cost while guaranteeing relatively high accuracy.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"30 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117050870","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 : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814588
Hirofumi Sasaki, Yasunori Yagi, T. Kageyama, Doohwan Lee
This paper presents orbital angular momentum (OAM) multiplexing transmission with Butler matrices implemented on a sub-terahertz (sub- THz) band for the first ever to our best knowledge. Sub- THz bands enable us to utilize a wide frequency bandwidth for high-capacity wireless transmission. However, the baud rate becomes extremely high as the bandwidth widens, so digital spatial equalization becomes a significant hurdle for implementation. We therefore consider it practical to move part of the function over to analog devices. A Butler matrix is an analog device that can perform discrete Fourier transform (DFT) calculations, and a combination of the Butler matrix and uniform circular array (UCA) can be used to perform the generation and separation of OAM waves. In this paper, we present 4×4 Butler matrices for the generation and separation of four OAM waves (OAM modes 0, ±1, 2) and demonstrate a physical layer data rate of more than 100 Gbit/s for OAM multiplexing transmission over a 10-GHz bandwidth on a sub-THz band.
{"title":"Implementation and Evaluation of sub- THz OAM Multiplexing Transmission","authors":"Hirofumi Sasaki, Yasunori Yagi, T. Kageyama, Doohwan Lee","doi":"10.1109/iccworkshops53468.2022.9814588","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814588","url":null,"abstract":"This paper presents orbital angular momentum (OAM) multiplexing transmission with Butler matrices implemented on a sub-terahertz (sub- THz) band for the first ever to our best knowledge. Sub- THz bands enable us to utilize a wide frequency bandwidth for high-capacity wireless transmission. However, the baud rate becomes extremely high as the bandwidth widens, so digital spatial equalization becomes a significant hurdle for implementation. We therefore consider it practical to move part of the function over to analog devices. A Butler matrix is an analog device that can perform discrete Fourier transform (DFT) calculations, and a combination of the Butler matrix and uniform circular array (UCA) can be used to perform the generation and separation of OAM waves. In this paper, we present 4×4 Butler matrices for the generation and separation of four OAM waves (OAM modes 0, ±1, 2) and demonstrate a physical layer data rate of more than 100 Gbit/s for OAM multiplexing transmission over a 10-GHz bandwidth on a sub-THz band.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115748103","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 : 2022-05-16DOI: 10.1109/ICCWorkshops53468.2022.9882171
Khaled M. Humadi, I. Trigui, Wei-Ping Zhu, W. Ajib
In this paper, we consider a user-centric simultaneous wireless information and power transfer (SWIPT) mmWave system, where a time switching protocol is employed at users to support both energy harvesting and information decoding. To enable user-centric BS cooperation, dynamic BS clustering is used to adapt the user’s serving cluster to the channel condition. For this setup, we characterize the joint rate and energy (JRE) coverage, namely, the probability that the user can both harvest sufficient energy in a given time slot and receive the required minimum data from a given serving cluster. The analysis is challenging because of the random serving clusters as well as the correlation between the amount of harvested energy and the information rate. All analytical results are validated by Monte-Carlo simulations. Our results reveal that the proposed analytical models are accurate and efficient in the design and deployment of user-centric-SWIPT mmWave systems.
{"title":"Joint Rate and Energy Coverage of User-Centric SWIPT-Enabled Millimeter Wave Networks","authors":"Khaled M. Humadi, I. Trigui, Wei-Ping Zhu, W. Ajib","doi":"10.1109/ICCWorkshops53468.2022.9882171","DOIUrl":"https://doi.org/10.1109/ICCWorkshops53468.2022.9882171","url":null,"abstract":"In this paper, we consider a user-centric simultaneous wireless information and power transfer (SWIPT) mmWave system, where a time switching protocol is employed at users to support both energy harvesting and information decoding. To enable user-centric BS cooperation, dynamic BS clustering is used to adapt the user’s serving cluster to the channel condition. For this setup, we characterize the joint rate and energy (JRE) coverage, namely, the probability that the user can both harvest sufficient energy in a given time slot and receive the required minimum data from a given serving cluster. The analysis is challenging because of the random serving clusters as well as the correlation between the amount of harvested energy and the information rate. All analytical results are validated by Monte-Carlo simulations. Our results reveal that the proposed analytical models are accurate and efficient in the design and deployment of user-centric-SWIPT mmWave systems.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115389206","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 : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814618
Wook Lee, S. Choi, Yong Hun Jang, Sang Hyun Lee
This paper develops a distributed algorithm for user association of a rate-splitting multiple access (RSMA) network in the millimeter wave (mmWave) directional beamforming environment. In the RSMA network, hybrid multiple access (HMA) is employed based on beamforming techniques with mmWave transmission so that non-orthogonal and orthogonal multiple access users are allowed to coexist, but all users are not necessarily accessible to each other. Thus, a basic NOMA pairing principle of grouping the largest rate-gap users may not be the best strategy for the user-resource allocation, and the identification of the optimal pairing gives rise to a significant computation complexity. To handle this, a novel distributed solution is developed based on the message-passing framework among locally accessible users for the objective of maximizing the global network sum-throughput utility. To provide the optimality and the convergence of the developed algorithm, a theoretical analysis is conducted along with numerical results evidencing the superiority over existing schemes.
{"title":"Development and Analysis of Distributed Algorithm for Hybrid Multiple Access Based User Association","authors":"Wook Lee, S. Choi, Yong Hun Jang, Sang Hyun Lee","doi":"10.1109/iccworkshops53468.2022.9814618","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814618","url":null,"abstract":"This paper develops a distributed algorithm for user association of a rate-splitting multiple access (RSMA) network in the millimeter wave (mmWave) directional beamforming environment. In the RSMA network, hybrid multiple access (HMA) is employed based on beamforming techniques with mmWave transmission so that non-orthogonal and orthogonal multiple access users are allowed to coexist, but all users are not necessarily accessible to each other. Thus, a basic NOMA pairing principle of grouping the largest rate-gap users may not be the best strategy for the user-resource allocation, and the identification of the optimal pairing gives rise to a significant computation complexity. To handle this, a novel distributed solution is developed based on the message-passing framework among locally accessible users for the objective of maximizing the global network sum-throughput utility. To provide the optimality and the convergence of the developed algorithm, a theoretical analysis is conducted along with numerical results evidencing the superiority over existing schemes.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115514688","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 : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9915025
Haesik Kim
EU R&D consortium 5G-HEART (5G HEalth AquacultuRe and Transport validation trials) develops and executes large scale healthcare, aquaculture and transport trial activities on actual testbed in EU. 5G-HEART as one of 5G PPP Phase 3 projects will deploy innovative digital use cases involving healthcare, transport and aquaculture industry partnerships. It focuses on realising 5G trials and validating 5G Key Performance Indicators (KPIs) on the vital vertical use-cases of healthcare, transport and aquaculture. In the health area, 5G-HEART validates pillcams for automatic detection in screening of colon cancer and vital-sign patches with advanced geo-localization as well as 5G Augmented/Virtual Reality (AR/VR) paramedic services. In the transport area, 5G-HEART validates autonomous/ assisted/ remote driving and vehicle data services. In the aquaculture area, 5G-HEART validates 5G-based fish farm monitoring systems. In this live demonstration, 5G vertical trials and key results are introduced.
{"title":"Demo: 5th Generation Health Aquaculture and Transport Validation Trials","authors":"Haesik Kim","doi":"10.1109/iccworkshops53468.2022.9915025","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9915025","url":null,"abstract":"EU R&D consortium 5G-HEART (5G HEalth AquacultuRe and Transport validation trials) develops and executes large scale healthcare, aquaculture and transport trial activities on actual testbed in EU. 5G-HEART as one of 5G PPP Phase 3 projects will deploy innovative digital use cases involving healthcare, transport and aquaculture industry partnerships. It focuses on realising 5G trials and validating 5G Key Performance Indicators (KPIs) on the vital vertical use-cases of healthcare, transport and aquaculture. In the health area, 5G-HEART validates pillcams for automatic detection in screening of colon cancer and vital-sign patches with advanced geo-localization as well as 5G Augmented/Virtual Reality (AR/VR) paramedic services. In the transport area, 5G-HEART validates autonomous/ assisted/ remote driving and vehicle data services. In the aquaculture area, 5G-HEART validates 5G-based fish farm monitoring systems. In this live demonstration, 5G vertical trials and key results are introduced.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123614507","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 : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814478
Jungjae Park, Seungnyun Kim, Ji-Sun Moon, B. Shim
Terahertz (THz) communications in the 0.1-10 THz band are envisaged as an attractive way to attain richer spectrum resources and surmount the bandwidth desert. To overcome the severe propagation loss suffered in THz communications and thus achieve high beamforming gain, massive multiple-input multiple-output (MIMO) technique has received much attention. To realize highly directional communications, beam training procedure is indispensable but the beam training schemes de-signed for narrowband systems result in severe performance loss caused by the wideband beam squint effect. To address this problem, we propose a beam training scheme using frequency-dependent RF precoder. Specifically, we analyze the optimal phase shifts to obtain the frequency-dependent RF precoder and then propose a hierarchical beam training scheme using the frequency-dependent RF precoder. Numerical results including the achievable sum-rate and the beamforming gain are presented to demonstrate the effectiveness of the proposed scheme.
{"title":"Fast Terahertz Beam Training Via Frequency-dependent Precoding","authors":"Jungjae Park, Seungnyun Kim, Ji-Sun Moon, B. Shim","doi":"10.1109/iccworkshops53468.2022.9814478","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814478","url":null,"abstract":"Terahertz (THz) communications in the 0.1-10 THz band are envisaged as an attractive way to attain richer spectrum resources and surmount the bandwidth desert. To overcome the severe propagation loss suffered in THz communications and thus achieve high beamforming gain, massive multiple-input multiple-output (MIMO) technique has received much attention. To realize highly directional communications, beam training procedure is indispensable but the beam training schemes de-signed for narrowband systems result in severe performance loss caused by the wideband beam squint effect. To address this problem, we propose a beam training scheme using frequency-dependent RF precoder. Specifically, we analyze the optimal phase shifts to obtain the frequency-dependent RF precoder and then propose a hierarchical beam training scheme using the frequency-dependent RF precoder. Numerical results including the achievable sum-rate and the beamforming gain are presented to demonstrate the effectiveness of the proposed scheme.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122795124","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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