{"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}
{"title":"Frequency-Hopping Based Joint Automotive Radar-Communication Systems Using A Single Device","authors":"Zhitong Ni, J. A. Zhang, Kai Yang, Renping Liu","doi":"10.1109/iccworkshops53468.2022.9814651","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814651","url":null,"abstract":"Dual-functional radar-communication (DFRC), integrating the two functions into one system and sharing one transmitted signal, shows its great potential in self-driving networks. In this paper, we develop a single-device based multi-input single-output (MISO) DFRC vehicular system. Modulations of un-slotted ALOHA frequency-hopping (UA-FH) and fast FH, commonly used in automotive radar, are adopted to transmit the DFRC waveforms and to address severe interferences caused by an interfering vehicle that serves as a communication transmitter. Due to the asynchrony between vehicles, the FH sequences of the interfering vehicle are chosen from a fixed codebook. All channel parameters are then extracted via FH decoding from radar backscattered channels and communication channels, respectively. To further increase the accuracy, we proceed to propose an iterative algorithm that divides the signals into short segments and jointly obtains all parameters with high resolution. Finally, simulation results are provided and validate the proposed DFRC vehicular system.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 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":"129152593","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}
{"title":"Optimization for Prediction-Driven Cooperative Spectrum Sensing in Cognitive Radio Networks","authors":"Dawei Nie, Wenjuan Yu, Q. Ni, H. Pervaiz","doi":"10.1109/iccworkshops53468.2022.9814552","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814552","url":null,"abstract":"Empirical studies have observed that the spec-trum usage in practice follows regular patterns. Machine learning (ML)-based spectrum prediction techniques can thus be used jointly with cooperative sensing in cognitive radio networks (CRNs). In this paper, we propose a novel cluster-based sensing-after-prediction scheme and aim to reduce the total energy consumption of a CRN. An integer programming problem is formulated that minimizes the cluster size and optimizes the decision threshold, while guaranteeing the system accuracy requirement. To solve this challenging optimization problem, the relaxation technique is used which transforms the optimization problem into a tractable problem. The solution to the relaxed problem serves as a foundation for the solution to the original integer programming. Finally, a low-complexity search algorithm is proposed which achieves the global optimum, as it obtains the same performance with exhaustive search. Simulation results demonstrate that the total energy consumption of CRN is greatly reduced by applying our clustered sensing-after-prediction scheme.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 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":"131245950","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}
{"title":"On the Performance of Terahertz Communications for Vehicular Wireless Networks","authors":"Solomon Satche, D. Rawat","doi":"10.1109/ICCWorkshops53468.2022.9882173","DOIUrl":"https://doi.org/10.1109/ICCWorkshops53468.2022.9882173","url":null,"abstract":"Terahertz band appears as a solution to the spectrum scarcity for wireless communications. But, it presents beam pointing error, multipath interference, and atmospheric hurdle challenges. In this paper, we analyse the impacts of these constraints on the communication link in the THz band based on the mobile speeds of an end users in vehicles. We use a generic approach to assess the performance in terms of link failure probability. To that end we use the Mellin transform theorem approach to derive the joint pdf of the channel coefficient h and derive their joint probability density function that would be useful to assess the performance of the mobile vehicular communication link. The performance as a function of speeds is analyzed for pointing error, joint pointing and multipath error, and joint pointing, multi-path, and atmospheric error. The simulated results show severe and rapid degradation at higher speeds of the THz link when the SNIR is below a certain threshold. We then infer the performance with Doppler effects.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"85 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":"131400967","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}
H. Farooq, Julien Forgeat, Shruti Bothe, Maxime Bouton, P. Karlsson
{"title":"Edge-distributed Coordinated Hyper-Parameter Search for Energy Saving SON Use-Case","authors":"H. Farooq, Julien Forgeat, Shruti Bothe, Maxime Bouton, P. Karlsson","doi":"10.1109/iccworkshops53468.2022.9814498","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814498","url":null,"abstract":"Energy Efficient operation of ultra-dense hetero-geneous network deployments is a big challenge for mobile networks. AI-assisted energy saving is one of the potential self-organizing network use cases for radio access network intelli-gence that can be used to predict the service load. This prediction can in turn be leveraged for proactively turning OFF/ON the capacity booster small cells within the coverage of always ON macro cells. These ML workloads can reside in macro cell base stations as opposed to conventional cloud-centric architecture to meet beyond 5G ambitious requirements of ultra-low latency, highest reliability, and scalability. However, the power-hungry hyperparameter search of ML workloads distributed at edges of the radio access network is a major challenge that can have substantial effect on the overall energy -efficiency of the network. In this paper, we illustrate how coordinated efficient training of distributed edge- ML models driven energy saving functions can enhance network energy efficiency. We validate the proposed method through a data-driven simulation methodology augmenting real traffic traces and comparing it with variants of legacy edge-ML hyper-parameter search techniques.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"2 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":"121285334","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}
{"title":"Vehicle-to-Vehicle Channel Characteristics in Intersection Environment","authors":"Mi Yang, B. Ai, R. He, Zhangfeng Ma, Z. Zhong","doi":"10.1109/iccworkshops53468.2022.9814577","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814577","url":null,"abstract":"Vehicular communication, as one of the most important supporting technologies of intelligent transportation system, has been widely concerned by academia and industry. Wireless channel characterization and modeling are the foundation of communication systems. Compared with typical road scenarios such as urban and suburban areas, wireless channel characterization in intersections is a challenging task. It is necessary to carry out measurement, characterization, and modeling for intersection channels as the basic theoretical support for vehicular communication system solutions. In this paper, channel measurements at 5.9 GHz in street intersection scenarios are carried out and provide data for the characterization and modeling of time-varying vehicular channels. Based on the measured data, this paper extracts and analyzes the time-varying power, delay and spatial characteristics and quantitatively models the influence of building obstruction on key channel parameters. The research in this paper can enrich the investigation of vehicular channels and enable the analysis and design of vehicular communication systems.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"47 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":"128929341","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}
{"title":"Cost-Aware Resource Allocation with Probabilistic Latency Guarantee in B5G Industrial Private Networks","authors":"Maosheng Zhu, Xi Li, Hong Ji, Heli Zhang","doi":"10.1109/iccworkshops53468.2022.9814520","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814520","url":null,"abstract":"Industrial private networks (IPNs), having enhanced communication characteristics in a specific area, emerge to fulfill the demanding industrial use cases. However, users' demands for flexibility and low latency in the B5G era are in inevitable conflict with limited and isolated resources in IPNs; thus, scalability and flexibility of resources are required, which can be realized by jointly funneling users' traffic and resource allocation spanning IPN s to promote load balancing and resource efficiency. In this paper, we devise a cost-aware resource allocation (CARA) approach embedded with a proba-bilistic latency guarantee for resource efficiency achievement and low latency fulfillment. Specifically, we first establish a unified cost model for coupling funneled traffic and resource allocated in each lPN, avoiding the optimization penalty of alternating them. Then, to solve the conflict between limited computing and communication resources, we propose the CARA approach based on the non-dominated sorting genetic algorithm-III (NSGA-III). Furthermore, a probabilistic latency guarantee sub-algorithm is embedded in CARA to fulfill the latency constraint and relax it for advanced industrial implementation. Additionally, compared with other existing algorithms, simulation results reveal that our proposed algorithm not only globally minimizes unified cost across IPNs, but also individually balances the funneled traffic.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"115 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":"129140658","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}
{"title":"A Cooperative Device Free Wireless Sensing Design and Analysis for Target Position Estimation","authors":"Yucheng Dai, Wooseok Nam, Tao Luo, A. Kannan","doi":"10.1109/iccworkshops53468.2022.9814522","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814522","url":null,"abstract":"Owing to the development in both hardware man-ufacturing and signal processing techniques, a User Equipment (UE) has evolved into not just a communication tool but also an advanced device which can perceive the environment. Although current sensing designs at UE side mainly focus on the electro-magnetic environment or the existence of the device which can transmit signal, the 5G/6G standards plan to extend the sensing function to perceive the physical environment and the ‘device-free’ object in the near future. This paper proposes a cooperative device-free wireless sensing method for estimating the position of a target, aiming to exploit the existing Transmit/Receive Points (TRPs) and UEs in the cellular system. A 3D ray-tracing channel model of Qualcomm Morehouse campus has been constructed for sensing performance evaluation. The results show that, for a cuboidal target with dimensions $1times 1times 0.2$ meters, a projected distance error less than 0.34 meter and 0.26 meter in 90 percent cases can be achieved with a single TRP and 3 TRPs, respectively.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"13 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":"115941356","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}
Hao Song, Kyeong Jin Kim, Jianlin Guo, P. Orlik, K. Parsons
{"title":"Semi-Persistent Scheduling Scheme for Low-Latency and High-Reliability Transmissions in Private 5G Networks","authors":"Hao Song, Kyeong Jin Kim, Jianlin Guo, P. Orlik, K. Parsons","doi":"10.1109/iccworkshops53468.2022.9814518","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814518","url":null,"abstract":"To meet the quality of service requirements of pri-vate applications, the private fifth-generation (5G) networks are required to provide low-latency and high reliability transmissions. Thus, a new semi-persistent scheduling (SPS) scheme is proposed to enable “grant-free” and immediate uplink access for users. Re-scheduling SPS users at the beginning of each SPS period, the scheduling frequency can be significantly reduced. By allocating users to the same wireless channels without requesting wireless resources and waiting for scheduling, the uplink transmission latency and the system complexity can be greatly reduced. To maintain reliability over a changing wireless environment caused by mobility, the proposed SPS scheme employs stochastic geometry for the derivation of the distance distribution within the SPS period, modulation and code scheme (MCS) selection, and scheduling optimization. Based on the MCS selection and the data expectation on an SPS channel, an optimization problem is formulated for reliability and fairness enhancement by jointly taking into account the current channel states and potential channel states in the SPS period. Finally, extensive simulation studies are conducted to demonstrate the effectiveness and superiority of the proposed SPS scheme.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"PP 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":"126708399","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}