IEEE Journal of Selected Topics in Signal Processing最新文献_第10页

IEEE Signal Processing Society Information 电气和电子工程师学会信号处理学会信息

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-09-04 DOI: 10.1109/JSTSP.2024.3424079

引用次数: 0

Editorial Introduction for the Special Issue on Intelligent Robotics: Sensing, Signal Processing and Interaction 智能机器人特刊编辑导言：传感、信号处理与交互

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-09-04 DOI: 10.1109/JSTSP.2024.3445048

Wenbo Ding

引用次数: 0

EDDA:An Efficient Divide-and-Conquer Domain Adapter for Automatics Modulation Recognition 用于自动调制识别的高效分治域适配器

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-09-03 DOI: 10.1109/JSTSP.2024.3453559

Xiangrong Zhang;Yifan Chen;Guanchun Wang;Yifang Zhang;Licheng Jiao

{"title":"EDDA:An Efficient Divide-and-Conquer Domain Adapter for Automatics Modulation Recognition","authors":"Xiangrong Zhang;Yifan Chen;Guanchun Wang;Yifang Zhang;Licheng Jiao","doi":"10.1109/JSTSP.2024.3453559","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3453559","url":null,"abstract":"The development of deep learning technology has injected new vitality into the task of automatic modulation recognition (AMR). Despite achieving promising progress, existing models tend to lose recognition capability in low-quality communication environments due to the neglect of latent distributions within the data, i.e., classifying samples in a single feature space, resulting in unsatisfactory performance. Motivated by this observation, this paper aims to rethink the modulation signals classification from a new perspective on the latent data distribution. To address this, we propose a novel efficient divide-and-conquer domain adapter (EDDA) for AMR tasks, significantly enhancing the existing model's performance in challenging scenarios, irrespective of its architecture. Specifically, we first follow a divide-and-conquer approach to divide the raw data into multiple sub-domain spaces by signal-to-noise ratio (SNR), and then encourage the domain adapter to estimate the latent distributions and learn domain internally-invariant feature projections. Subsequently, we introduce a dynamic strategy for updating domain labels to overcome the limitations of the initial domain label partition by SNR. Finally, we provide theoretical support for EDDA and validate its effectiveness on two widely used benchmark datasets, RadioML2016.10a and RadioML2016.10b. Experimental results show that EDDA achieves average accuracy improvements of 11.63% and 2.32% on the respective datasets. Theoretical and experimental results demonstrate the superiority and versatility of EDDA.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"19 1","pages":"140-153"},"PeriodicalIF":8.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge 有限源知识下基于Wasserstein分布鲁棒性的未知域泛化

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-09-03 DOI: 10.1109/JSTSP.2024.3434498

Jingge Wang;Liyan Xie;Yao Xie;Shao-Lun Huang;Yang Li

{"title":"Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge","authors":"Jingge Wang;Liyan Xie;Yao Xie;Shao-Lun Huang;Yang Li","doi":"10.1109/JSTSP.2024.3434498","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3434498","url":null,"abstract":"Domain generalization aims at learning a universal model that performs well on unseen target domains, incorporating knowledge from multiple source domains. In this research, we consider the scenario where different domain shifts occur among conditional distributions of different classes across domains. When labeled samples in the source domains are limited, existing approaches are not sufficiently robust. To address this problem, we propose a novel domain generalization framework called Wasserstein Distributionally Robust Domain Generalization (WDRDG), inspired by the concept of distributionally robust optimization. We encourage robustness over conditional distributions within class-specific Wasserstein uncertainty sets and optimize the worst-case performance of a classifier over these uncertainty sets. We further develop a test-time adaptation module, leveraging optimal transport to quantify the relationship between the unseen target domain and source domains to make adaptive inferences for target data. Experiments on the Rotated MNIST, PACS, and VLCS datasets demonstrate that our method could effectively balance the robustness and discriminability in challenging generalization scenarios.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"19 1","pages":"103-114"},"PeriodicalIF":8.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy Efficiency Optimization of IRS and UAV-Assisted Wireless Powered Edge Networks IRS和无人机辅助无线供电边缘网络的能效优化

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-08-30 DOI: 10.1109/JSTSP.2024.3452501

Xiaojie Wang;Jiameng Li;Jun Wu;Lei Guo;Zhaolong Ning

{"title":"Energy Efficiency Optimization of IRS and UAV-Assisted Wireless Powered Edge Networks","authors":"Xiaojie Wang;Jiameng Li;Jun Wu;Lei Guo;Zhaolong Ning","doi":"10.1109/JSTSP.2024.3452501","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3452501","url":null,"abstract":"With the surge in the number of Internet of Things (IoT) devices and latency-sensitive services such as smart cities and smart factories, Next Generation Multiple Access (NGMA) technologies (e.g., Intelligent Reflecting Surface (IRS) and millimeter wave), which can efficiently process a large number of user accesses and low-latency services, have gained much attention. Among them, due to the ability to optimize wireless channels and improve data and energy transmission efficiency, IRS has been applied to Unmanned Aerial Vehicle (UAV)-assisted wireless powered edge networks. However, scheduling multi-dimensional resources in multi-UAVs, multi-IRSs and multi-devices coexistence scenarios always leads to a large number of highly coupled variables and complicated optimization problems. To address the above challenges, we propose a multi-agent Deep Reinforcement Learning (DRL)-based distributed scheduling algorithm for IRS and UAV-assisted wireless powered edge networks to jointly optimize charging time, phase shift matrices of IRSs, association scheduling of UAVs and UAV trajectories. First, to satisfy UAV time constraints and device energy consumption constraints, we formulate an energy efficiency maximization problem and represent it as a corresponding Markov Decision Process (MDP). Then, we propose a lightweight scheduling algorithm based on multi-agent DRL with value function decomposition. Finally, experiments show that the proposed algorithm has significant advantages in terms of algorithm convergence and system energy efficiency.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 7","pages":"1297-1310"},"PeriodicalIF":8.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fractional Chirp Rate Based CSS Division Multiple Access Over LEO Satellite Internet-of-Things 基于分数啁啾率的低轨道卫星物联网上的CSS划分多址接入

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-08-30 DOI: 10.1109/JSTSP.2024.3451290

Runxin Zhang;Jianpeng Ma;Shun Zhang;Octavia A. Dobre

{"title":"Fractional Chirp Rate Based CSS Division Multiple Access Over LEO Satellite Internet-of-Things","authors":"Runxin Zhang;Jianpeng Ma;Shun Zhang;Octavia A. Dobre","doi":"10.1109/JSTSP.2024.3451290","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3451290","url":null,"abstract":"Low earth orbit (LEO) satellites are bringing new opportunities for the integration between terrestrial Internet-of-Things (IoT) and satellite IoT. Due to its high robustness against large time delays and Doppler shifts, chirp spread spectrum (CSS) modulation, i.e., the key technology of the Long-Range (LoRa), is expected to empower the satellite link. However, the ALOHA protocol employed by LoRa will inevitably lead to collisions over the satellite channels. In this paper, we focus on the concurrent uplink transmission over the LEO satellite IoT, which is based on CSS. We carefully analyze the relationship between the chirp rate and its spreading factor (SF). Then, we propose the fractional chirp rate based CSS modulation, and support terrestrial users to achieve the non-orthogonal multiple access with the same SF, which ensures that the users possess the same noise immunity. We derive the bit error rate (BER) for both the synchronous and asynchronous scenarios. The performance of our scheme is tested by simulation. Results show that our scheme can achieve the multiple access while maintaining a satisfactory BER performance and is robust over the asynchronous scenario. Furthermore, we build a hardware system using the field-programmable gate array (FPGA) devices to validate the feasibility of this system.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 7","pages":"1281-1296"},"PeriodicalIF":8.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Beam-Sweeping Design for mmWave Massive Grant-Free Transmission 毫米波大规模无授权传输的波束扫描设计

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-08-29 DOI: 10.1109/JSTSP.2024.3451706

Gangle Sun;Hongwei Hou;Yafei Wang;Wenjin Wang;Wei Xu;Shi Jin

{"title":"Beam-Sweeping Design for mmWave Massive Grant-Free Transmission","authors":"Gangle Sun;Hongwei Hou;Yafei Wang;Wenjin Wang;Wei Xu;Shi Jin","doi":"10.1109/JSTSP.2024.3451706","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3451706","url":null,"abstract":"To address the escalating demand for spectrum resources in emerging massive machine-type communication applications, it is promising to integrate massive grant-free transmission into millimeter-wave (mmWave) systems. As beam-sweeping schemes under hybrid beamforming architectures are commonly used to enhance signal power and extend coverage, this paper investigates an efficient beam-sweeping scheme for mmWave massive grant-free transmission under hybrid beamforming architectures. In this scheme, we propose a beam-sweeping design algorithm to optimize beamforming matrices, aiming to maximize spectral efficiency while ensuring quality of service (QoS) based on statistical information on uplink angles of arrival (AoAs). To address the intricate interdependence of beamforming matrices across different beam-sweeping slots, our solution begins with a two-stage genetic algorithm that pre-assigns users' access slots based on their uplink AoAs, decomposing the beamforming design problem into independent subproblems for each slot. Subsequently, a dual-layer beamforming design algorithm is proposed to solve these subproblems, optimizing beamforming matrices that enhance spectral efficiency and meet the QoS constraint. Numerous simulation results verify the effectiveness of the proposed beam-sweeping design algorithm in improving spectral efficiency and the capability to satisfy the required QoS.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 7","pages":"1249-1264"},"PeriodicalIF":8.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint Fairness and Efficiency Optimization for CSMA/CA-Based Multi-User MIMO UAV Ad Hoc Networks 基于CSMA/ ca的多用户MIMO无人机自组网联合公平与效率优化

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-08-27 DOI: 10.1109/JSTSP.2024.3435348

Jianrui Chen;Jingjing Wang;Jiaxing Wang;Lin Bai

{"title":"Joint Fairness and Efficiency Optimization for CSMA/CA-Based Multi-User MIMO UAV Ad Hoc Networks","authors":"Jianrui Chen;Jingjing Wang;Jiaxing Wang;Lin Bai","doi":"10.1109/JSTSP.2024.3435348","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3435348","url":null,"abstract":"Since conventional multiple access schemes, such as time division multiple access (TDMA), frequency division multiple access (FDMA), et al., cannot meet the requirements on flexibility, throughput and access delay in large-scale flying ad hoc networks (FANETs), we propose a fair and efficient CSMA/CA-based MAC protocol to facilitate concurrent uplink transmissions from different unmanned aerial vehicles (UAVs) by leveraging multiple-user MIMO (MU-MIMO). In this paper, we first propose the MIMO-based integrated sensing and backscatter communication model to achieve address resolution and also realize channel estimation by leveraging maximum likelihood estimation. Next, we propose an analytical model to characterize the saturation throughput and mean access delay of this CSMA/CA-based MAC protocol operating in an MU-MIMO FANET. Moreover, we derive the accurate expressions of saturation throughput and access delay under the proposed model. By means of the developed model, we evaluate the saturation throughput and access delay performance with respect to different network parameters, including the total payload, the number of UAVs and the number of UAV receiver's antennas. Numerical results indicate that our proposed protocol achieves superior throughput and decreased access delay.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 7","pages":"1311-1323"},"PeriodicalIF":8.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

STAR-RIS-Aided UAV Communication for Next Generation Multiple Access With Resource Allocation 面向下一代多址资源分配的star - ris辅助无人机通信

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-08-23 DOI: 10.1109/JSTSP.2024.3449124

Xiaoqi Zhang;Haijun Zhang;Lei Sun;Xianmei Wang;Keping Long;Victor C. M. Leung

{"title":"STAR-RIS-Aided UAV Communication for Next Generation Multiple Access With Resource Allocation","authors":"Xiaoqi Zhang;Haijun Zhang;Lei Sun;Xianmei Wang;Keping Long;Victor C. M. Leung","doi":"10.1109/JSTSP.2024.3449124","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3449124","url":null,"abstract":"Evolutionary non-orthogonal multiple access (NOMA) has emerged as a potential candidate for next-generation multiple access (NGMA). The signal processing research combined with NOMA and cutting-edge 6G technology reconfigurable intelligent surface (RIS) is attractive, but their compatibility is also a challenging research issue. In this paper, a full-coverage simultaneously transmitting and reflecting (STAR) RIS-enabled uplink NOMA communication model for unmanned aerial vehicle (UAV) is proposed to attain the joint design of computing and communication resources allocation. The aim of this work is to boost the sum-rate to the utmost degree while minimizing the system computing offloading latency. On the one hand, we jointly explore the computing offloading and NOMA uplink successive interference cancellation (SIC) decoding optimization problem in STAR-RIS assisted uplink signal propagation with energy splitting (ES) mode, solving for the computational offloading task size and decoding order. Alternatively, the beamforming and phase-shift of transmitting and reflecting is decoupled and optimized by hybrid whale-bat optimization algorithm (WBOA) and coordinate descent method (CDM), which gives a solution to minimize offloading latency. It is verified that the joint devised scheme may greatly contribute to the computing offloading capability and communication performance of the system.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 7","pages":"1222-1234"},"PeriodicalIF":8.7,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizations of Neural Audio Coder Toward Perceptual Transparency 面向感知透明性的神经音频编码器优化

IF 8.7 1区工程技术

IEEE Journal of Selected Topics in Signal Processing Pub Date : 2024-08-22 DOI: 10.1109/JSTSP.2024.3437155

Joon Byun;Seungmin Shin;Seorim Hwang;Jongmo Sung;Seungkwon Beack;Youngcheol Park

{"title":"Optimizations of Neural Audio Coder Toward Perceptual Transparency","authors":"Joon Byun;Seungmin Shin;Seorim Hwang;Jongmo Sung;Seungkwon Beack;Youngcheol Park","doi":"10.1109/JSTSP.2024.3437155","DOIUrl":"https://doi.org/10.1109/JSTSP.2024.3437155","url":null,"abstract":"This paper presents comprehensive optimizations of a neural audio coder built upon a variational autoencoder (VAE) system integrated with an arithmetic coder. Our optimizations focus on two primary aspects: a novel loss function design and advanced entropy modeling of bottleneck latent embeddings. The loss function design incorporates parameters from a psychoacoustic model (PAM) into the frame-wise distortion measure, providing excellent perceptual quality. In addition, a multi-time scale discriminator is utilized to minimize distortions across adjacent frames, reducing artifacts at frame edges. Also, the coder is optimized considering three sophisticated entropy models within the latent domain: the Factorized Entropy Model (FEM), the Hyperprior Model (HPM), and the Joint Hierarchical Model (JHM). Notably, the JHM enhances context modeling across frames to effectively predict components influenced by long-term dependencies. To verify the optimization performance, we conducted extensive experiments using a dataset consisting of commercial movie clips and two additional public datasets. Objective metrics consistently demonstrated that our optimized loss function and latent modeling achieved superior performance across all test datasets compared to traditional codecs such as LAME-MP3 and FDK-AAC. Subjective assessments also indicated that our system could offer comparable or superior auditory quality to FDK-AAC.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 8","pages":"1531-1543"},"PeriodicalIF":8.7,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0