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HierCoop: Hierarchical Cooperative Resource Allocation for Vehicular Communications in Heterogeneous Networks 23

HierCoop: Hierarchical Cooperative Resource Allocation for V...

引用

23rd IEEE International Conference on Communication technology, ICCT 2023

作者： Feng, Yixuan Yuan, Quan Luo, Guiyang Li, Jinglin Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China

ISBN: (纸本)9798350325959

Heterogeneous Networks (HetNets) can provide intelligent vehicles with high-bandwidth access and support large-scale vehicle-infrastructure cooperation. However, the spectrum allocation of HetNets faces the problem of mutual coupling between macrocell base station (MBS) and intensively deployed small-cell base stations (SBSs) which share spectrum band. While recent research has used Multi-Agent Deep Reinforcement Learning (MADRL) to allocate resources for vehicle-infrastructure cooperation, it has focused solely on intra-cell resource distribution, overlooking inter-cell resource cooperation. Inter-cell resource cooperation in HetN ets faces significant communication overhead due to real-time link state interaction between base stations. Additionally, timely updates to inter-cell resource allocation policies are critical when vehicular communication patterns undergo shifts. In this paper, we propose a hierarchical cooperative resource allocation method (HierCoop) for addressing the aforementioned challenges in vehicular communications in HetN ets. Each base station is modeled as an agent with hierarchical structure which combines coarse-grained inter-cell collaboration policies and fine-grained inner-cell resource allocation. Specifically, the upper layer of each agent is deployed centrally, thus enabling inter-cell collaboration policies to be based on the abstract channel state features extracted from the lower layers instead of the original channel state information. Meanwhile, the lower layer of each agent is deployed locally in base station, which executes actual resource allocation action based on the policy formulated by the upper layer. The experimental results demonstrate that HierCoop can significantly enhances spectral efficiency and communication quality. © 2023 IEEE.

关键词： heterogeneous networks hierarchical multi-agent reinforcement learning resource allocation vehicular communications

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Time of Arrival Estimation via Kalman Filter in OFDM Systems with Carrier Frequency Offset and Phase Noise 23

Time of Arrival Estimation via Kalman Filter in OFDM Systems...

引用

23rd IEEE International Conference on Communication technology, ICCT 2023

作者： Mu, Rui Fan, Shaoshuai Peng, Zixiang Tian, Hui Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China

ISBN: (纸本)9798350325959

The Time of Arrival (TOA) based positioning technique has been extensively investigated and applied. Nevertheless, the presence of carrier frequency offset (CFO) and phase noise (PN) in the oscillator can significantly impair the orthogonal frequency division multiplexing (OFDM) system, consequently compromising the accuracy of TOA estimation and TOA based positioning. In this paper, we propose a TOA estimation algorithm via Kalman Filter(KF) in an OFDM system with CFO and PN present. To distinguish among different types of noise using our proposed estimator, we constructed extra measurements. The simulation demonstrates that the proposed approach exhibits higher accuracy in TOA estimation compared to the multiple signal classification algorithm method. © 2023 IEEE.

关键词： frequency offseet Kalman filter OFDM phase noise Toa estimation

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Improving Performance of Docker Instance via Image Reconstruction

Improving Performance of Docker Instance via Image Reconst...

引用

International Conference on Big Data Intelligence and Computing, DataCom 2022

作者： Jiang, Qingyuan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9789819922321

Docker has become a key paradigm for application deployment in cloud computing. A running Docker instance need to access its corresponding docker image for searching the required file from time to time. The more layers a docker image has, the longer the search time is. The number of image layers has significant impact on the efficiency of the application. However, reducing the number of image layers via layer merging will reduce the shareability of image layers and increase the storage occupation. To address the above issue, we exploit image reconfiguration to achieve a trade-off between the operation efficiency and storage occupation. We formulate the image reconstruction problem as a knapsack problem, and design a dynamic programming-based offline image reconstruction algorithm named DPOIRA to solve it. We conduct experiments on the busybox and crate, and the experiment results show the effectiveness of our algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image reconstruction

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MDFL: Model-Distance Federated Learning on Non-IID data 9

MDFL: Model-Distance Federated Learning on Non-IID data

引用

9th International Conference on Communication and Information Processing, ICCIP 2023

作者： Chen, Ze Tian, Hui Gao, Tianrun Li, Lihua State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Haidian Beijing China

ISBN: (纸本)9798400708909

Federated learning (FL) is an emerging approach in the field of Artificial Intelligence of Things (AIoT) that enables collaborative model training across multiple edge devices or IoT nodes while protecting data privacy. However, FL faces significant challenges, particularly regarding the non-Independent and Identically Distributed (non-IID) data across IoT devices. Despite the considerable efforts dedicated to address this issue, existing approaches seriously impact on the speed of convergence in FL. In this paper, we propose MDFL, a novel FL framework that incorporates a distance-based participant selection strategy to enhance the overall performance and efficiency. MDFL eliminates the consistency among clients regarding the epochs of local training and the weighted coefficient of server aggregation. Specifically, our method allows strong participants to achieve more training epochs and gain a larger weighting proportion during the aggregation. We evaluate the effectiveness of our approach on the MNIST and FashionMNIST datasets. Experimental results demonstrate that MDFL achieves superior performance, improving the test accuracy from 0.9% to 1.8% on MNIST and from 0.6% to 1.0% on FashionMNIST, respectively. © 2023 Copyright held by the owner/author(s)

关键词： Data privacy

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Mobility-Aware Dynamic Service Migration in Communication and Computing Integrated VNETs

Mobility-Aware Dynamic Service Migration in Communication an...

引用

2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Liu, Haoran Jiang, Ning Guo, Fengxian Yan, Shi Peng, Mugen Beijing University of Posts and Telecommunications The State Key Laboratory of Networking and Switching Technology Beijing100876 China

ISBN: (纸本)9798350370218

The Communication and computing integrated vehicular networks have emerged as a reliable platform for intelligent vehicular applications. These networks leverage mobile edge computing technology to enable computing capabilities at the network edge closer to vehicles. However, the mobility of vehicles could break service continuity and make it difficult to accomplish intelligent services within tolerant latency under communication and computing resource-constrained conditions. To overcome these challenges, this paper proposes a mobility-aware service migration approach to effectively reduce service latency under the expected migration cost constraint. The key aspect of this approach is leveraging the mobility information of vehicles to search for the best migration strategy. This paper utilizes the wireless sensing technology of the base stations to acquire real-time mobility information of vehicles. The mobility information and channel states are jointly considered to make decisions on service migration as well as resource allocation strategies via a decentralized multi-agent proximal policy optimization (MAPPO) algorithm. Simulation results demonstrate that the proposed mobility-aware service migration approach can effectively reduce the average service latency compared to other benchmark approaches. © 2023 IEEE.

关键词： communication and computing integrated vehicular networks mobility-aware resource allocation Service migration

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UMCL: Unified Medical Image-Text-Label Contrastive Learning With Continuous Prompt

UMCL: Unified Medical Image-Text-Label Contrastive Learning ...

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Wang, Yuhao Wang, Guangyu Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China

ISBN: (纸本)9798350337488

Contrastive Language-Image Pre-training (CLIP) can leverage large dataset of unlabeled Image-Text pairs, which have demonstrated impressive performance in various downstream tasks. Given that annotating medical data is timeconsuming and laborious, Image-Text Pre-training has promising applications in exploiting large-scale medical image and radiology report dataset. However, medical Image-Text Pre-training faces several challenges, as follows: (1) Due to privacy concerns, the amount of available medical data is relatively small compared to natural data, leading to weaker generalization ability of the model. (2) Medical images are highly similar with only finegrained differences in subtleties, resulting in a large number of false-negative sample pairs in comparison learning. (3) The hand-crafted Prompt usually differs from the natural medical image report, Subtle changes in wording can lead to significant differences in performance. In this paper, we propose a unified Image-Text-Label contrastive learning framework based on continuous prompts, with three main contributions. First, We unified the data of images, text, and labels, which greatly expanded the training data that the model could utilize. Second, we address the issue of data diversity and the impact of hand-crafted prompts on model performance by introducing continuous implicit prompts. Lastly, we propose a Image-Text-Label contrastive Training to mitigate the problem of too many false-negative samples. We demonstrate through sufficient experiments that the Unified Medical Contrastive Learning (UMCL) framework exhibits excellent performance on several downstream tasks. © 2023 IEEE.

关键词： Medical Image Analysis Multimodal Pretrain Vision-Language Model

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A Dual Channel MAC Protocol with IRS Relay Selection Mechanism for Terahertz Communication 9

A Dual Channel MAC Protocol with IRS Relay Selection Mechani...

引用

9th International Conference on Computer and Communications, ICCC 2023

作者： Zhai, Jianing Ma, Nan Liu, Shaoyi Zheng, Shaofei Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China

ISBN: (纸本)9798350317251

The demand for high-speed data transmission in 6G networks has triggered the urgent need for research on terahertz (THz) communication frequency bands. However, the THz directional transmission and rapid attenuation in the air pose a challenge to the design of Medium Access Control (MAC) protocols. In this paper, a novel Terahertz Dual Channel MAC Protocol based on IRS Relay Selection (RS-MAC) is proposed, which leverages GHz frequency band for control signaling and employs THz beams for data transmission. Firstly, we introduce a Joint Judging Line-of-Sight (LoS) Algorithm Based on Location and Angle Information (LA-LoS) to determine whether LoS exist between the transmitter and receiver. Moreover, we capitalize on the unique reflection characteristics of Intelligent Reflection Surface (IRS) technology to introduce IRS relay paths at the MAC layer, reducing relay delay and enhancing data transmission efficiency. In the end, numerical simulations were conducted to analyze the performance improvements. The results indicate that, compared with some existing MAC relay protocols, the proposed protocol exhibits a substantial reduction in THz transmission delay and an improvement in achievable throughput. © 2023 IEEE.

关键词： Medium access control

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Semi-Swinderain: Semi-Supervised Image Deraining Network Using SWIN Transformer 48

Semi-Swinderain: Semi-Supervised Image Deraining Network Usi...

引用

48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Ren, Chun Yan, Danfeng Cai, Yuanqiang Li, Yangchun Bupt State Key Laboratory of Networking and Switching Technology China Chinese Academy of Cyberspace Studies China

ISBN: (纸本)9781728163277

Currently, single image deraining lacks paired rain/clean images in real world and most studies use synthetic data. Real rain image deraining is still a challenge. To solve this problem, we propose a semi-supervised image deraining network using Swin Transformer, which can both use features of synthetic data and real data to get a better result. Specifically, the network is divided into supervised branch and unsupervised branch. Supervised and unsupervised branches are trained using synthetic data and real data, respectively. The network architecture is based on Swin Transformer, which adds a self-supervised memory module between encoder and decoder to store rain information. In the unsupervised branch, contrastive loss is added to ensure restored real rain image in features space is close to clear image, away from real rain image. In addition, we propose a real rain dataset RealRain11k. Experiments show our method has better result in real rain image deraining. The source code and RealRain11k are available at https://***/imissrc/Semi-SwinDerain. © 2023 IEEE.

关键词： Contrastive Loss Deraining Memory Semi-suprivised Swin Transformer

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DCI-Monitor: A Flexible and Efficient Network Quality Measurement System for Global Data Center Interconnects 6

DCI-Monitor: A Flexible and Efficient Network Quality Measur...

引用

6th International Conference on Frontier Technologies of Information and Computer, ICFTIC 2024

作者： Sun, Xianda Du, Yi Li, Xin Gao, Fei Gao, Xiaoming Yin, Zixuan Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China Unit 31006 of Pla Beijing China

ISBN: (纸本)9798331541750

In the context of highly integrated cloud-network environments, comprehensive and accurate information about inter-data center network quality is crucial. While many monitoring systems provide such services, they face two challenges: balancing measurement accuracy with cost, and offering rich measurement configuration interfaces. This paper presents DCl-Monitor, a network measurement system for monitoring global DCl network service quality. Inspired by SDN, DCl-Monitor automates processes including parsing measurement requirements, generating tasks and configurations, resolving resource conflicts, and executing tasks. This significantly enhances the accuracy, flexibility, and robustness of network measurements. © 2024 IEEE.

关键词： Velocity measurement

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Sensing and Beamtracking Scheme Design for UAV-Enabled ISAC Systems 15

Sensing and Beamtracking Scheme Design for UAV-Enabled ISAC ...

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15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023

作者： Wu, Yunyi Liu, Chenxi Hu, Xiaoling Peng, Mugen Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China

ISBN: (纸本)9798350324662

In the unmanned aerial vehicle (UAV)-enabled systems, beamtracking is an important design issue. In this paper, we leverage the benefits of the integrated sensing and communication (ISAC) techniques to improve the beamtracking performance in the UAV-enabled systems. Specifically, we first obtain the angle-of-arrival/angle-of-departure (AoA/AoD) from the echo signals. Using the estimated angular information, we then propose an improved unscented Kalman filter (UKF)-based beamtracking scheme to predict the AoA/AoD from past information, taking the mobility of the UAV and the large accumulative estimation error of conventional UKF-based beamtracking scheme into account. Through numerical results, we show that our proposed beamtracking scheme can accurately estimate the AoA/AoD of our considered systems. We also demonstrate how our proposed scheme can be utilized to achieve nearly the same signal-to-noise ratio performance compared to the baseline assuming perfect AoA/AoD estimation. © 2023 IEEE.

关键词： beamtracking design integrated sensing and communication (ISAC) Unmanned aerial vehicle (UAV) communications

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