2023 32nd Wireless and Optical Communications Conference (WOCC)最新文献_第2页

Parametric Precoding Based on Improved Dynamic Gradient Descent in Multibeam Satellite Communications 基于改进动态梯度下降的多波束卫星通信参数预编码

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139341

Jiayu Wang, Rugui Yao, Donghui Xu, Ye Fan, Xiaoya Zuo

引用次数: 0

Free Space Optics as Full Duplex Fronthauling for Drone-Assisted Mobile Networks 自由空间光学作为无人机辅助移动网络的全双工前路由

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139511

Xiang Sun, Liang Yu, Abee F. Alazzwi

{"title":"Free Space Optics as Full Duplex Fronthauling for Drone-Assisted Mobile Networks","authors":"Xiang Sun, Liang Yu, Abee F. Alazzwi","doi":"10.1109/WOCC58016.2023.10139511","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139511","url":null,"abstract":"Drone-assisted mobile networks have been proposed to quickly and flexibly deploy drones over any places of interest (PoI) to relay traffic between a remote terrestrial base station (TBS) and the users in the PoI. Here, a drone is considered to be a small-cell base station that is capable to be deployed very close to users in order to provide a high access network capacity. However, owing to the long distance and high traffic load, the fronthaul link between the TBS and the drone would be the bottleneck of the network. Free space optical (FSO) communications have been proposed as a potential solution to increase the fronthaul link capacity. As compared to RF-based fronthaul link solutions, FSO can achieve higher link capacity over a long distance, lower licensing cost and interference, and more reliable communications to resist interception and eavesdropping, and thus could be more suitable to be applied as the fronthaul link solution. However, there are many existing and unveiled challenges to apply FSO as a full duplex fronthaul link for a drone-assisted mobile network. In this paper, we will explore these challenges and investigate related solutions.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116142813","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: 1

An Improved Fruit Fly Optimization Algorithm for Hybrid Disassembly Line Balancing Problem 混合装配线平衡问题的改进果蝇优化算法

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139674

XiaoYu Niu, Xiwang Guo, Jiacun Wang, Shujin Qin, Liang Qi, ChenYang Fan

引用次数: 0

Heterogeneous Multi-Agent Reinforcement Learning for Joint Active and Passive Beamforming in IRS Assisted Communications 红外辅助通信中联合主被动波束形成的异构多智能体强化学习

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139667

Ang Gao, Xinshun Sun, Yongshuai Xu, Wei Liang

{"title":"Heterogeneous Multi-Agent Reinforcement Learning for Joint Active and Passive Beamforming in IRS Assisted Communications","authors":"Ang Gao, Xinshun Sun, Yongshuai Xu, Wei Liang","doi":"10.1109/WOCC58016.2023.10139667","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139667","url":null,"abstract":"Ahstract-The Intelligent Reflecting Surface (IRS) has the potential to reconstruct the electromagnetic propagation environment, paving the way for a new multi-IRS assisted communications paradigm that beams scattered signals for improved spectrum efficiency (SE). However, accurate channel estimation and sharing becomes a challenge when a large number of IRS elements are involved, leading to extra hardware complexity and communication overhead. Moreover, due to the cross-interference caused by massive reflecting paths when multiple IRSs are introduced, SE optimization becomes challenging to achieve a close-formed solution because of non-convexity. This paper improves a heterogeneous based multi-agent deep deterministic policy gradient (MADDPG) approach for joint active and passive beamforming optimization without channel estimation, where base station (BS) and multiple IRSs cooperatively learn to enhance SE and suppress the interference. Due to the centralized-training and distributed-execution feature of MADDPG, the well-trained BS and IRSs can execute both the active and passive beamforming optimization independently without referring to other agents, which can greatly reduce the communication overhead and simplify the IRS deployment. Numeral simulations demonstrate the effectiveness of the proposed approach on enhancing SE and suppressing interference in the multi-IRS assisted communications system.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115197247","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

Performing Effective Generative Learning from a Single Image Only 仅从单个图像执行有效的生成学习

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139746

Qihui Xu, Jinshu Chen, Jiacheng Tang, Qi Kang, Mengchu Zhou

引用次数: 0

Modulation Recognition using YOLOv5 on the WBSig53 Dataset 基于YOLOv5的WBSig53数据集调制识别

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139594

B. Comar

引用次数: 0

C-RAN at Millimeter Wave and Above: Full-Beamspace Radio Access Architecture 毫米波及以上的C-RAN:全波束空间无线接入架构

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139690

Xiao-Feng Qi, J. Murakowski, G. Schneider, D. Prather

引用次数: 0

Lightweight and Anonymity-preserving Secure Group Communication Mechanism for Cooperative Driving 面向协同驾驶的轻量级匿名安全组通信机制

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139566

Wassila Lalouani, Mohamed F. Younis, Day-Yin Tan

{"title":"Lightweight and Anonymity-preserving Secure Group Communication Mechanism for Cooperative Driving","authors":"Wassila Lalouani, Mohamed F. Younis, Day-Yin Tan","doi":"10.1109/WOCC58016.2023.10139566","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139566","url":null,"abstract":"Platooning is gaining much attention due to its potential for improving road safety, and increasing vehicular throughput. Given the required fine-grained coordination among the involved vehicles, resilience to cyberattacks is very crucial. Moreover, the information sharing among the vehicles should not be at the expense of the user's privacy. Additionally, the platoon operation is based on broadcast and requires a lightweight method to support secure group communication. This paper presents a novel protocol that utilizes lightweight hardware fingerprinting primitives and the Chinese Remainder Theorem (CRT) to automate the key generation and management process. Our protocol eliminates the need for pre-loaded keys and enables vehicles to infer the group key on-the-fly. CRT is utilized to help the transportation authority generate a group key for each platoon and broadcast an obscured version of such a key. Using our scheme, only the vehicles involved in platoon can recover the key using their respective hardware primitives. The validation results confirm the resilience of our protocol to attempts for unveiling the keys by single and collusive actors, while also providing reduced computational complexity compared to competing schemes.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128119754","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

On the Generalization of Machine-Learning-aided QoT Estimation in Optical Networks 机器学习辅助QoT估计在光网络中的推广

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139536

Hanyu Gao, Liang Zhang, Bin Zhang, Xiaoliang Chen, Zhaohui Li

引用次数: 0

Deep Interference Recognition for Spread Spectrum Communications using Time-Frequency Transformer 基于时频变压器的扩频通信深度干扰识别

2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139664

Yi Wei, Shang-Rong Ou-Yang, Chao Li, Xiaoxiao Zhuo, Jian Wang

{"title":"Deep Interference Recognition for Spread Spectrum Communications using Time-Frequency Transformer","authors":"Yi Wei, Shang-Rong Ou-Yang, Chao Li, Xiaoxiao Zhuo, Jian Wang","doi":"10.1109/WOCC58016.2023.10139664","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139664","url":null,"abstract":"Spread spectrum techniques have been widely adopted in both military and commercial communications because of their anti-interference and anti-interception properties. How-ever, when the interference power is high and the spread spectrum gain is not sufficient to achieve satisfactory system performance, additional anti-interference techniques need to be employed, and the design of the interference sensing and recognition method is a basic prerequisite of effective interference suppression. In this work, considering the superiority of transformer networks in the field of deep learning, we propose a novel interference recognition method with short time Fourier transform (STFT) analysis and transformer. For making full use of the hidden information in both time and frequency domain, the proposed method intro-duces the STFT analysis to extract the high-dimensional feature. Furthermore, the idea of transformer is adopted in our method to introduce the attention mechanism focusing on the time-frequency correlation of the received signals and improve the recognition accuracy. Simulation results demonstrate the superiority of the proposed method versus other baseline competitors.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134573919","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