2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)最新文献_第7页

Deep Reinforcement Learning-Based Dynamic MultiChannel Access for Heterogeneous Wireless Networks with DenseNet 基于深度强化学习的DenseNet异构无线网络动态多通道接入

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538886

K. Zong

{"title":"Deep Reinforcement Learning-Based Dynamic MultiChannel Access for Heterogeneous Wireless Networks with DenseNet","authors":"K. Zong","doi":"10.1109/ICCCWorkshops52231.2021.9538886","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538886","url":null,"abstract":"In this paper, we consider the problem of dynamic multi-channel access in the heterogeneous wireless networks, where multiple independent channels are shared by multiple nodes which have different types. The objective is to find a strategy to maximize the expected long-term probability of successful transmissions. The problem of dynamic multi-channel access can be formulated as a partially observable Markov decision process (POMDP). In order to deal with this problem, we apply the deep reinforcement learning (DRL) approach to provide a model-free access method, where the nodes don’t have a prior knowledge of the wireless networks or the ability to exchange messages with other nodes. Specially, we take advantage of the double deep Q-network (DDQN) with DenseNet to learn the wireless network environment and to select the optimal channel at the beginning of each time slot. We investigate the proposed DDQN approach in different environments for both the fixed-pattern scenarios and the time-varying scenarios. The experimental results show that the proposed DDQN with DenseNet can efficiently learn the pattern of channel switch and choose the near optimal action to avoid the collision for every slot. Besides, the proposed DDQN approach can also achieve satisfactory performance to adapt the time-varying scenarios.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121719112","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}

引用次数: 2

An Intent-based Smart Slicing Framework for Vertical Industry in B5G Networks B5G垂直行业基于意图的智能切片框架

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538888

Dong Wang, Ruiran Su, Shenhu Zhang

引用次数: 4

Analysis of System Capacity of Grant-free Access with Massive MIMO 大规模MIMO免授权接入系统容量分析

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538934

Hao Wang, Xiujun Zhang, Shidong Zhou

{"title":"Analysis of System Capacity of Grant-free Access with Massive MIMO","authors":"Hao Wang, Xiujun Zhang, Shidong Zhou","doi":"10.1109/ICCCWorkshops52231.2021.9538934","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538934","url":null,"abstract":"Massive sporadic access is a crucial scenario in the future wireless communications, where grant-free access is preferred for reducing signaling overhead and latency. To deal with much more active user devices, massive multiple-input-multiple-output (MIMO) is introduced to increase the system capacity. However, the length of pilot sequences has to be increased with more users and antennas to perform joint activity detection and channel estimation (JADCE), occupying more radio resource. Thus there is a trade-off in the pilot sequence length to maximize the system capacity, and other parameters such as the base station (BS) antenna number and the active rate of users also influence the optimization results. Therefore, it is necessary to explore how these parameters influence the capacity. Toward this end, this paper conducts simulations of a single-cell grant-free system with massive MIMO. It firstly shows that the capacity loss compared to granted access mainly comes from activity detection rather than channel estimation with non-orthogonal pilot sequences. Then the paper investigates the optimization of the pilot sequence length and the number of active users with different channel assumptions. A noteworthy result is that the capacity grows more slowly than the number of BS antennas does in the massive MIMO regime. Additionally, this paper proposes a modified approximate message passing (AMP) algorithm for the multi-antenna user situations, to maximize the system capacity by adjusting the number of user antennas.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115847633","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}

引用次数: 0

Research on Task Assignment Based on Hierarchical Structure for Autonomous Underwater Vehicle 基于层次结构的自主水下航行器任务分配研究

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538880

Liang Qiao, Yun Li, Shanlin Sun, Biaohang Sun, Kai Tian, Zhitian Li, Xingyu Lu

引用次数: 1

Time Evolution of Underwater Acoustic Temporal Networks 水声时间网络的时间演化

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538922

Wei Feng, Mingkai Li, Penghui Pei, Yayuan Zhang, Yuan-xin Xu, Jianlong Li, Wenham Xu

引用次数: 0

Device-free Location-independent Human Activity Recognition via Few-shot Learning 通过少镜头学习实现无设备、独立于位置的人类活动识别

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538898

Xue Ding, Ting Jiang, Yi Zhong, Jianfei Yang, Yan Huang, Zhiwei Li

{"title":"Device-free Location-independent Human Activity Recognition via Few-shot Learning","authors":"Xue Ding, Ting Jiang, Yi Zhong, Jianfei Yang, Yan Huang, Zhiwei Li","doi":"10.1109/ICCCWorkshops52231.2021.9538898","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538898","url":null,"abstract":"Wi-Fi-based device-free human activity recognition has attracted widespread attention for its remarkable application value ranging from the Internet of Things (IoT) to Human-Computer Interaction (HCI). Empowering the wireless communication system with the ability for not only communication but also smart sensing is rather fascinating, which is known as Integrated Sensing, Computation and Communication (ISCC). Although the existing attempts have made great achievements, the generalization performance of the methods and systems is still a challenging issue. In practical applications, human activity recognition is seriously affected by the location variations, which is one of the prominent problems to be solved urgently. Previous solutions rely on sufficient data at different locations, which is labor-intensive and time-consuming. To address this concern, in this paper, we present a location-independent human activity recognition system with limited data based on Wi-Fi named WiLISensing. Specifically, inspired by few-shot learning, we propose a prototypical network-based method for activity recognition, which transfer the model well across positions with very few data samples. To fully validate the feasibility of the presented approach, extensive experiments have been conducted in a real office environment with 24 locations. The experimental results demonstrate that our method can achieve promising accuracy.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115510573","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}

引用次数: 2

Transmission mode switching for relay/RIS assisted device-to-device communication networks 中继/RIS辅助设备到设备通信网络的传输模式切换

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538863

Yaxuan Liu, Haitao Zhao, Yiyang Ni, Hui Zhang, Fan Yang, Hongbo Zhu

引用次数: 0

Joint timing and frequency synchronization for OFDM underwater acoustic communications OFDM水声通信的联合定时与频率同步

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538930

Youcheng Wang, Jun Tao, Lu Ma, M. Jiang, Wenxuan Chen

{"title":"Joint timing and frequency synchronization for OFDM underwater acoustic communications","authors":"Youcheng Wang, Jun Tao, Lu Ma, M. Jiang, Wenxuan Chen","doi":"10.1109/ICCCWorkshops52231.2021.9538930","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538930","url":null,"abstract":"Timing and frequency synchronization is critical to the performance of orthogonal frequency-division multiplexing (OFDM) underwater acoustic (UWA) communications. In this paper, we propose a joint estimation scheme for fine timing, Doppler scaling factor, and residual doppler or carrier frequency offset (CFO), based on pilot symbols. The estimation problem boils down to an optimization problem over a three-dimension space. As the cost function has no closed form and a brutal search method demands prohibitively-high complexity, an iterative procedure is proposed to find the solution at a reasonable complexity. The joint estimation is performed in a block-by-block fashion and to further save computation, estimation results from a previous block can be used as initializations of the current block. At-sea experimental data collected in the SPACE08 UWA communication experiment was used to verify the performance of the proposed method. Attributed to the joint synchronization, decent detection performance was achieved for data with relative transceiver motion.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127508838","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}

引用次数: 3

On the Standardization of Key Enabling Technologies in Non-Terrestrial Network Air-interface Design 非地面网络空中接口设计中关键使能技术的标准化研究

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538924

Y. Qi, Haoyu Deng, Mengmeng Liu, Zhenting Li

引用次数: 1

Comparison of Signal Distributions and Capacity Bounds in VLC with Signal-Dependent Noise 具有信号相关噪声的VLC中信号分布和容量界限的比较

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538862

Xiaoqian Wang, Liang Xia, Yifei Yuan, Guangyi Liu, Qixing Wang, Jing Jin

引用次数: 1