Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473851
A. S. Tan, Elham Dehghan Biyar
Relaying in mobile communication networks has great potential for cost effective system performance improvement. Integrated Access and Backhaul (IAB) system in 5G is designed to provide relaying for User Equipment (UE) and IAB-nodes. However, designing an efficient and high-capacity IAB operation is still under investigation. In this paper, we propose novel methods to dynamically and autonomously initiate new IAB-nodes in regions where UEs experience temporary quality of service degradation. Moreover, we propose methods for selective handover of UEs with low quality of service to new IAB-nodes in order to improve the overall performance of the system. We present simulation results which demonstrate the performance gains on packet drop rate and delay achieved by utilizing the proposed system and methods.
{"title":"QoS-Aware Autonomous IAB-Node Activation and Access Control","authors":"A. S. Tan, Elham Dehghan Biyar","doi":"10.1109/ICCWorkshops50388.2021.9473851","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473851","url":null,"abstract":"Relaying in mobile communication networks has great potential for cost effective system performance improvement. Integrated Access and Backhaul (IAB) system in 5G is designed to provide relaying for User Equipment (UE) and IAB-nodes. However, designing an efficient and high-capacity IAB operation is still under investigation. In this paper, we propose novel methods to dynamically and autonomously initiate new IAB-nodes in regions where UEs experience temporary quality of service degradation. Moreover, we propose methods for selective handover of UEs with low quality of service to new IAB-nodes in order to improve the overall performance of the system. We present simulation results which demonstrate the performance gains on packet drop rate and delay achieved by utilizing the proposed system and methods.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128724915","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}
Epidemiological investigation is one of the main means of controlling the outbreak of COVID-19. It has been proven to be effective, however, has a bottleneck that the infected person has to be questioned about his recent trajectory before any quarantine action could be taken, while sometimes trajectory information might not be timely and accurately obtained. In this paper, we propose an epidemiological investigation method which resort to artificial intelligence for extracting people’s preferences and social relationship from their historical trajectory patterns. Trajectory data used in our epidemiological investigation method may include time, location, Point-of-Interest (POI), as well as Behavior-of-Interest (BOI). All of these attributes in human’s trajectory are embedded into different channels in the proposed model and then fed into a classifier or a clusterer for serving different purposes. In our experiments, we applied the proposed method on a synthetic data set to conduct a classification task, and on a real data set for a clustering task. Both tasks confirm that the proposed method is effective and thus could be used to guide the preventive measures.
{"title":"Mining Trajectory Patterns with Point-of-Interest and Behavior-of-Interest","authors":"Sissi Xiaoxiao Wu, Zixian Wu, Weilin Zhu, Xiaokui Yang, Yong Li","doi":"10.1109/ICCWorkshops50388.2021.9473612","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473612","url":null,"abstract":"Epidemiological investigation is one of the main means of controlling the outbreak of COVID-19. It has been proven to be effective, however, has a bottleneck that the infected person has to be questioned about his recent trajectory before any quarantine action could be taken, while sometimes trajectory information might not be timely and accurately obtained. In this paper, we propose an epidemiological investigation method which resort to artificial intelligence for extracting people’s preferences and social relationship from their historical trajectory patterns. Trajectory data used in our epidemiological investigation method may include time, location, Point-of-Interest (POI), as well as Behavior-of-Interest (BOI). All of these attributes in human’s trajectory are embedded into different channels in the proposed model and then fed into a classifier or a clusterer for serving different purposes. In our experiments, we applied the proposed method on a synthetic data set to conduct a classification task, and on a real data set for a clustering task. Both tasks confirm that the proposed method is effective and thus could be used to guide the preventive measures.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123185219","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473554
Fahime Khoramnejad, Roghayeh Joda, M. Erol-Kantarci
Multi-Access Edge Computing (MEC) along with "learning at the edge" brings unique opportunities for enhancing the utilization of resources in the next generation wireless networks. Using Network Function Virtualization (NFV), Service Function Chains (SFCs), a set of ordered virtual network functions (VNFs), can be deployed within the MEC infrastructure. The user equipment (UEs) can offload VNFs with intense computational load to the MEC servers with rich storage and computation resources. In this paper, we address the problem of partial offloading of a chain of services where each VNF of the SFC request can be either performed locally or offloaded onto a MEC server. The objective is to concurrently minimize the long-term cost of the UEs which is given in terms of both delay and energy consumption. This problem is highly complex and calls for distributed multi-agent learning techniques. We formulate the problem as a distributed multi-agent reinforcement learning problem and use double deep Q-network (DDQN) algorithm to solve it. Our simulation results show that the proposed DDQN-based solution has comparable results to an exhaustive search algorithm.
多接入边缘计算(MEC)以及“边缘学习”为提高下一代无线网络的资源利用率带来了独特的机会。通过网络功能虚拟化(Network Function Virtualization, NFV)，业务功能链(Service Function Chains, sfc)是一组有序的虚拟网络功能(virtual Network functions, VNFs)，可以部署在MEC基础设施中。用户设备(ue)可以将计算负荷较大的VNFs卸载到具有丰富存储和计算资源的MEC服务器上。在本文中，我们解决了服务链的部分卸载问题，其中每个SFC请求的VNF可以在本地执行，也可以卸载到MEC服务器上。目标是同时最小化终端的长期成本，这是根据延迟和能源消耗给出的。该问题非常复杂，需要采用分布式多智能体学习技术。我们将该问题表述为分布式多智能体强化学习问题，并使用双深度q -网络(DDQN)算法来解决该问题。仿真结果表明，所提出的基于ddqn的解决方案与穷举搜索算法具有相当的结果。
{"title":"Distributed Multi-Agent Learning for Service Function Chain Partial Offloading at the Edge","authors":"Fahime Khoramnejad, Roghayeh Joda, M. Erol-Kantarci","doi":"10.1109/ICCWorkshops50388.2021.9473554","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473554","url":null,"abstract":"Multi-Access Edge Computing (MEC) along with \"learning at the edge\" brings unique opportunities for enhancing the utilization of resources in the next generation wireless networks. Using Network Function Virtualization (NFV), Service Function Chains (SFCs), a set of ordered virtual network functions (VNFs), can be deployed within the MEC infrastructure. The user equipment (UEs) can offload VNFs with intense computational load to the MEC servers with rich storage and computation resources. In this paper, we address the problem of partial offloading of a chain of services where each VNF of the SFC request can be either performed locally or offloaded onto a MEC server. The objective is to concurrently minimize the long-term cost of the UEs which is given in terms of both delay and energy consumption. This problem is highly complex and calls for distributed multi-agent learning techniques. We formulate the problem as a distributed multi-agent reinforcement learning problem and use double deep Q-network (DDQN) algorithm to solve it. Our simulation results show that the proposed DDQN-based solution has comparable results to an exhaustive search algorithm.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114304705","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473578
Gen Li, M. Zeng, Deepak Mishra, L. Hao, Zheng Ma, O. Dobre
Intelligent reflective surface (IRS) is envisioned as a promising transmission technique for next-generation communication systems owing to its ability to reconfigure the wireless propagation environments. In this paper, we aim to maximize the energy-efficiency (EE) for an IRS-assisted downlink multiple-input single-output system. To solve the multi-variable non-convex optimization problem, a joint optimization of the transmit beamforming vector, power, and phase shift matrix at the IRS is performed with the help of the block coordinate descent (BCD) method. Presented simulation results demonstrate that the convergence of the BCD method is remarkably fast and the single iteration based solution has almost the same EE performance (less than 2.5%) as the iterative one. Meanwhile, the proposed scheme can achieve a 70.7% gain in EE when compared with the IRS-free counterpart.
{"title":"Energy-efficient Joint Beamforming Design for IRS-assisted MISO System","authors":"Gen Li, M. Zeng, Deepak Mishra, L. Hao, Zheng Ma, O. Dobre","doi":"10.1109/ICCWorkshops50388.2021.9473578","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473578","url":null,"abstract":"Intelligent reflective surface (IRS) is envisioned as a promising transmission technique for next-generation communication systems owing to its ability to reconfigure the wireless propagation environments. In this paper, we aim to maximize the energy-efficiency (EE) for an IRS-assisted downlink multiple-input single-output system. To solve the multi-variable non-convex optimization problem, a joint optimization of the transmit beamforming vector, power, and phase shift matrix at the IRS is performed with the help of the block coordinate descent (BCD) method. Presented simulation results demonstrate that the convergence of the BCD method is remarkably fast and the single iteration based solution has almost the same EE performance (less than 2.5%) as the iterative one. Meanwhile, the proposed scheme can achieve a 70.7% gain in EE when compared with the IRS-free counterpart.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126542630","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473593
Rohit Singh, Deepak Saluja, Suman Kumar
Vehicular communication requires low latency, high speed and ultra-reliable transmission. However, the increase in popularity of connected vehicles, as well as rapid change in vehicular topology, limits the capabilities of the current vehicular network. Thanks to 3GPP release 16 as well as the outlines of release 17, which indicates that the next generation radio is showing great interest in the applications which require ultrareliable, low latency communication. In this work, we study critical requirements of the vehicular communication network along with several state of the art techniques towards mitigation of these problems. Besides, we discuss the 5G radio roadmap towards the fulfilment of vehicular network challenges, and several key enhancement and newly added verticals have been explained from the vehicular viewpoint.
{"title":"5G Enabled VANet: Enhancing the Capabilities of Vehicular Communication Network","authors":"Rohit Singh, Deepak Saluja, Suman Kumar","doi":"10.1109/ICCWorkshops50388.2021.9473593","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473593","url":null,"abstract":"Vehicular communication requires low latency, high speed and ultra-reliable transmission. However, the increase in popularity of connected vehicles, as well as rapid change in vehicular topology, limits the capabilities of the current vehicular network. Thanks to 3GPP release 16 as well as the outlines of release 17, which indicates that the next generation radio is showing great interest in the applications which require ultrareliable, low latency communication. In this work, we study critical requirements of the vehicular communication network along with several state of the art techniques towards mitigation of these problems. Besides, we discuss the 5G radio roadmap towards the fulfilment of vehicular network challenges, and several key enhancement and newly added verticals have been explained from the vehicular viewpoint.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130101415","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473721
Wudan Han, Jie Mei, Xianbin Wang
The ever-increasing service heterogeneity and Quality-of-Service diversity call for multi-dimensional radio resource exploitation and utilization schemes in future 6-th generation (6G) wireless. To this end, we design a user-centric QoS provisioning framework assisted with multi-dimensional multiple access (MDMA) scheme, where two conflicting goals, i.e. user’s QoS preference and their utilization costs of multi-dimensional resources, are considered with different user-specific priority levels in the utility function for each user. To implement the user-centric MDMA with QoS fairness, the related problem is formulated as a Max-Min optimization. Due to the NP-hardness of the formulated problem, we first use bisection searching to examine the feasible solution set. Then, the tested feasible set is solved by addressing two sub-problems: user-subchannel mapping and power allocation, which are solved by matching theory and heuristic gradient descent algorithm. Simulation results verify the effectiveness of the proposed design that can significantly outperform the state-of-art scheme.
{"title":"User-Centric Multi-Dimensional Multiple Access in 6G Communications","authors":"Wudan Han, Jie Mei, Xianbin Wang","doi":"10.1109/ICCWorkshops50388.2021.9473721","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473721","url":null,"abstract":"The ever-increasing service heterogeneity and Quality-of-Service diversity call for multi-dimensional radio resource exploitation and utilization schemes in future 6-th generation (6G) wireless. To this end, we design a user-centric QoS provisioning framework assisted with multi-dimensional multiple access (MDMA) scheme, where two conflicting goals, i.e. user’s QoS preference and their utilization costs of multi-dimensional resources, are considered with different user-specific priority levels in the utility function for each user. To implement the user-centric MDMA with QoS fairness, the related problem is formulated as a Max-Min optimization. Due to the NP-hardness of the formulated problem, we first use bisection searching to examine the feasible solution set. Then, the tested feasible set is solved by addressing two sub-problems: user-subchannel mapping and power allocation, which are solved by matching theory and heuristic gradient descent algorithm. Simulation results verify the effectiveness of the proposed design that can significantly outperform the state-of-art scheme.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131341356","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473828
Mariella Särestöniemi, C. Pomalaza-ráez, K. Sayrafian-Pour, J. Iinatti
This paper presents the results of an in-body propagation study for abdominal implant communication using a bio-matched mini-horn antenna. The wireless signal coverage in the abdomen area at various ISM and UWB frequency bands are measured using electromagnetic simulations with a 3D anatomical voxel model. Power flow analysis is conducted to visualize propagation within the abdominal tissues at several frequencies. As an example, S-Parameters of the channel between a capsule endoscopy pill and an on-body receiver has been studied and channel attenuations at different frequencies are compared. Using the directional bio-matched antenna, it is observed that at 915 MHz the signal coverage in a horizontal plane is sufficient to almost include the whole small intestine. However, the depth of the coverage reduces substantially at higher frequency bands. This comparative analysis can provide some insight on the applicability of these frequencies for various abdominal monitoring applications. It can also provide some information about the required number and placement of the on-body receivers in order to ensure adequate signal reception.
{"title":"In-Body Propagation at ISM and UWB Frequencies for Abdominal Monitoring Applications","authors":"Mariella Särestöniemi, C. Pomalaza-ráez, K. Sayrafian-Pour, J. Iinatti","doi":"10.1109/ICCWorkshops50388.2021.9473828","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473828","url":null,"abstract":"This paper presents the results of an in-body propagation study for abdominal implant communication using a bio-matched mini-horn antenna. The wireless signal coverage in the abdomen area at various ISM and UWB frequency bands are measured using electromagnetic simulations with a 3D anatomical voxel model. Power flow analysis is conducted to visualize propagation within the abdominal tissues at several frequencies. As an example, S-Parameters of the channel between a capsule endoscopy pill and an on-body receiver has been studied and channel attenuations at different frequencies are compared. Using the directional bio-matched antenna, it is observed that at 915 MHz the signal coverage in a horizontal plane is sufficient to almost include the whole small intestine. However, the depth of the coverage reduces substantially at higher frequency bands. This comparative analysis can provide some insight on the applicability of these frequencies for various abdominal monitoring applications. It can also provide some information about the required number and placement of the on-body receivers in order to ensure adequate signal reception.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131573832","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473643
Siqi Meng, Shaohua Wu, Aimin Li, J. Jiao, Ning Zhang, Qinyu Zhang
In the ultra-reliable low-latency communications (URLLC) and the prospective 6G communications, the optimization of the age of information (AoI) will enhance the performance in the real-time status update situations. Spinal codes is a new type of rateless codes which can achieve the channel capacity over both the additive white Gaussian noise (AWGN) channels and the binary symmetric channels (BSC), so minimizing the AoI of Spinal codes will significantly decrease the latency of the real-time status update system. In this paper, we firstly study the AoI of a specific code—Spinal codes, and derive the upper bound of the AoI of Spinal codes. We also prove that obtaining a fine-grained rate in the transmission pattern will decrease the AoI of Spinal codes. Then we formulate the optimizing problem and derive that the incremental-tail-transmission pattern of Spinal codes is the optimal pattern to minimize the AoI. Simulation results demonstrate that the upper bound of the AoI of Spinal codes is tighter when the channel condition is better and the incremental-tail-transmission pattern of Spinal codes is the optimal pattern to achieve the lowest AoI compared with the puncture-based pattern and the pass-to-pass pattern.
{"title":"Analysis and Optimization of Spinal Codes over the BSC: from the AoI Perspective","authors":"Siqi Meng, Shaohua Wu, Aimin Li, J. Jiao, Ning Zhang, Qinyu Zhang","doi":"10.1109/ICCWorkshops50388.2021.9473643","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473643","url":null,"abstract":"In the ultra-reliable low-latency communications (URLLC) and the prospective 6G communications, the optimization of the age of information (AoI) will enhance the performance in the real-time status update situations. Spinal codes is a new type of rateless codes which can achieve the channel capacity over both the additive white Gaussian noise (AWGN) channels and the binary symmetric channels (BSC), so minimizing the AoI of Spinal codes will significantly decrease the latency of the real-time status update system. In this paper, we firstly study the AoI of a specific code—Spinal codes, and derive the upper bound of the AoI of Spinal codes. We also prove that obtaining a fine-grained rate in the transmission pattern will decrease the AoI of Spinal codes. Then we formulate the optimizing problem and derive that the incremental-tail-transmission pattern of Spinal codes is the optimal pattern to minimize the AoI. Simulation results demonstrate that the upper bound of the AoI of Spinal codes is tighter when the channel condition is better and the incremental-tail-transmission pattern of Spinal codes is the optimal pattern to achieve the lowest AoI compared with the puncture-based pattern and the pass-to-pass pattern.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122870001","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 : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473637
Shuhei Saito, Yuki Ito, Hirofumi Suganuma, K. Ogawa, F. Maehara
Orbital angular momentum (OAM) multiplexing suffers from inter-mode interference (IMI) due to a beam axis misalignment. However, the traditional IMI cancellation method assumes that the IMI rises from all OAM modes, which results in heavy computational loads. This paper proposes an efficient IMI cancellation method for OAM multiplexing in the presence of a beam axis misalignment. In the proposed method, considering that the interference from adjacent OAM modes is dominant in such a misalignment, IMI cancellation is performed by considering only the neighboring OAM modes. This method can reduce the computational cost while retaining the transmission performance. Moreover, the minimum mean square error (MMSE) is adopted as the equalizer criterion to suppress noise enhancement. The effectiveness of the proposed method as compared with the traditional IMI cancellation method is demonstrated in terms of the system capacity and computational complexity through computer simulations.
{"title":"Efficient Inter-mode Interference Cancellation Method for OAM Multiplexing in the Presence of Beam Axis Misalignment","authors":"Shuhei Saito, Yuki Ito, Hirofumi Suganuma, K. Ogawa, F. Maehara","doi":"10.1109/ICCWorkshops50388.2021.9473637","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473637","url":null,"abstract":"Orbital angular momentum (OAM) multiplexing suffers from inter-mode interference (IMI) due to a beam axis misalignment. However, the traditional IMI cancellation method assumes that the IMI rises from all OAM modes, which results in heavy computational loads. This paper proposes an efficient IMI cancellation method for OAM multiplexing in the presence of a beam axis misalignment. In the proposed method, considering that the interference from adjacent OAM modes is dominant in such a misalignment, IMI cancellation is performed by considering only the neighboring OAM modes. This method can reduce the computational cost while retaining the transmission performance. Moreover, the minimum mean square error (MMSE) is adopted as the equalizer criterion to suppress noise enhancement. The effectiveness of the proposed method as compared with the traditional IMI cancellation method is demonstrated in terms of the system capacity and computational complexity through computer simulations.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124156098","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}
In traditional edge computing, the task from the Internet of Things (IoT) is usually offloaded to edge server. It will be uploaded to the remote cloud if the edge server cannot process it. A task can be processed on the server, only if the server has configured the corresponding function program. However, each edge server can only configure a small number of functions due to the limited computing, storage, and bandwidth resources. Moreover, modern tasks from IoT devices become more and more diverse, which are also accompanied by complex dependencies. It increases the processing time overhead to the task processed in remote cloud due to huge transmission delay. In this paper, we design a container-based edge computing system, where a task can be executed on a server only if the server has configured the corresponding container, if not the server can fetch it from other edge servers or remote cloud. Based on the system, we propose a novel hybrid model, called CBASGA, with the aim to minimize the job complete time, which combines Chaos-based Beetle Antennae Search and Genetic Algorithm. Our experimental results show that the designed system reduces the average job completion time by 4.2% compared with the comparison system, and CBASGA reduces the average job completion time by at least 21.7% compared with baselines.
{"title":"A Novel Hybrid Model for Task Dependent Scheduling in Container-based Edge Computing","authors":"Tingting Lv, Fanping Zeng, Guozhu Chen, Wenjuan Shu, Jingfei Shen, Weikang Zhang","doi":"10.1109/ICCWorkshops50388.2021.9473877","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473877","url":null,"abstract":"In traditional edge computing, the task from the Internet of Things (IoT) is usually offloaded to edge server. It will be uploaded to the remote cloud if the edge server cannot process it. A task can be processed on the server, only if the server has configured the corresponding function program. However, each edge server can only configure a small number of functions due to the limited computing, storage, and bandwidth resources. Moreover, modern tasks from IoT devices become more and more diverse, which are also accompanied by complex dependencies. It increases the processing time overhead to the task processed in remote cloud due to huge transmission delay. In this paper, we design a container-based edge computing system, where a task can be executed on a server only if the server has configured the corresponding container, if not the server can fetch it from other edge servers or remote cloud. Based on the system, we propose a novel hybrid model, called CBASGA, with the aim to minimize the job complete time, which combines Chaos-based Beetle Antennae Search and Genetic Algorithm. Our experimental results show that the designed system reduces the average job completion time by 4.2% compared with the comparison system, and CBASGA reduces the average job completion time by at least 21.7% compared with baselines.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124407567","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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