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ORCIDGLOBECOM 2023: Kuala Lumpur, Malaysia
- IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, December 4-8, 2023. IEEE 2023, ISBN 979-8-3503-1090-0
- Chaojin Mao, Liang Zhao, Geyong Min, Ammar Hawbani, Ahmed Yassin Al-Dubai, Albert Y. Zomaya:
Informative Causality-Based Vehicle Trajectory Prediction Architecture for Domain Generalization. 1-6 - Johannes Voichtleitner, Moritz Wiese, Anna Frank, Holger Boche:
Improving Upper and Lower Bounds for the Security Performance of Wiretap Channels. 1-6 - Yetian Cao, Yi Jia, Cheng Zhang, Jie Wu, Yongming Huang:
Hierarchical Intelligence Enabled Joint RAN Slicing and MAC Scheduling for SLA Guarantee. 1-6 - Andrea Munari, Tomaso de Cola, Leonardo Badia:
Local or Edge/Cloud Processing for Data Freshness. 1-6 - Zongze Li, Qingfeng Lin, Yik-Chung Wu, Derrick Wing Kwan Ng, Arumugam Nallanathan:
Enhancing Outage-Constrained Secure EE with RIS Under a Multi-Antenna Eavesdropper. 1-6 - Chin Choy Chai, Xiaoping Zhang:
Unified Probability Distributions of Composite Fading for Radio Frequency and Optical Wireless Channels. 1-6 - Peigen Zeng, Ying He, F. Richard Yu, Victor C. M. Leung:
Quantum Reinforcement Learning with Quantum World Model. 1-6 - Zhenyu Wu, Yu Zhang, Yanqin Mao, Joel J. P. C. Rodrigues:
An E-health System Recognizing Vegetable Images Using Extreme Learning Machine. 1-6 - Wenxuan Qiao, Yuyang Zhang, Ping Dong, Xiaojiang Du, Chengxiao Yu, Hongke Zhang, Mohsen Guizani:
Enhancing Edge Multipath Data Security Offloading Efficiency via Sequential Reinforcement Learning. 1-6 - Miaohang Su, Xilong Liu:
Cluster-based Efficient Wireless Charging for Wireless Rechargeable Sensor Networks. 1-6 - Zhenyu Wu, Yu Zhang, Jialiang Sun, Joel J. P. C. Rodrigues:
Modelling and Analyzing Social Interactions in COVID-19 with Dynamic Graphs. 1-6 - Arshin Rezazadeh, Hanan Lutfiyya:
A Novel Sustainable Bandwidth Allocation Strategy for Multiple Service Migration in 5G/6G Edge Computing. 1-7 - Tao Yang, Fangtao Yu, Qiuzhuo Chen, Rongke Liu:
On the Design of Efficient Lattice-Code based Multiple Access. 1-7 - Ziqi Chen, Jun Du, Guowei Yang, Chunxiao Jiang, Zhu Han:
Multi-Task Driven User Association and Resource Allocation in In-vehicle Networks. 1-6 - Jinhyun So, Hyukjoon Kwon:
Universal Auto-Encoder Framework for MIMO CSI Feedback. 1-7 - Yuhang Jia, Zixiong Wang, Pooi-Yuen Kam, Jinlong Yu:
Explicit, Closed-Form Approximations for BEPs of BDPSK/QDPSK Signals over EW FSO Channel. 1-6 - Bingqing Jiang, Jun Du, Guowei Yang, Chunxiao Jiang, Chen-Feng Liu, Yu Tian:
Energy-Efficient Dynamic Device Scheduling for Over-the-Air Federated Learning in UAV Swarms. 1-6 - Yixuan Li
, Ji Wang, Yuanwei Liu, Wenwu Xie, Jun Wang:
Weighted Sum Power Maximization for STAR-RIS Assisted SWIPT Systems. 1-6 - Waqar Ali Aziz, Hassaan Khaliq Qureshi, Adnan Iqbal, Anwer Al-Dulaimi, Saba Al-Rubaye:
Towards Accurate Categorization of Network IP Traffic Using Deep Packet Inspection and Machine Learning. 1-6 - Kehai Qiu, Stefanos Bakirtzis, Ian J. Wassell, Hui Song, Kan Lin, Jie Zhang:
IRDM: A Generative Diffusion Model for Indoor Radio Map Interpolation. 1-6 - Yang Cao, Shao-Yu Lien, Cheng-Hao Yeh, Ying-Chang Liang, Dusit Niyato:
Efficient Communication-Computation Tradeoff for Split Computing: A Multi-Tier Deep Reinforcement Learning Approach. 1-6 - Weiyu Song, Yonggang Zhang, Lili Sun, Yandong Zheng, Rongxing Lu:
Efficient and Privacy-Preserving Eclipse Query Over Encrypted Data. 1-6 - Homa Nikbakht, Eric Ruzomberka, Michèle A. Wigger, Shlomo Shamai Shitz, H. Vincent Poor:
Joint Coding of eMBB and URLLC in Vehicle- to-Everything (V2X) Communications. 1-6 - Mingcheng Nie, Deepak Mishra, Azzam Al-Nahari, Jinhong Yuan, Riku Jäntti:
QoS Aware Transmit Beamforming for Secure Backscattering in Symbiotic Radio Systems. 7-12 - Thuy M. Pham, Linda Senigagliesi, Marco Baldi, Gerhard P. Fettweis, Arsenia Chorti:
Machine Learning-Based Robust Physical Layer Authentication Using Angle of Arrival Estimation. 13-18 - Ellen Z. Zhang, Yunguo Guan, Rongxing Lu, Harry Zhang:
ERQ: An Efficient Range Query Scheme Under Local Differential Privacy. 19-24 - Tian Xie, Sanchal Thakkar, Ting He, Novella Bartolini, Patrick D. McDaniel:
Host-Based Flow Table Size Inference in Multi-Hop SDN. 25-30 - Amir Javadpour, Forough Ja'fari, Tarik Taleb, Chafika Benzaïd:
Enhancing 5G Network Slicing: Slice Isolation Via Actor-Critic Reinforcement Learning with Optimal Graph Features. 31-37 - Yandong Zheng, Hui Zhu, Rongxing Lu, Songnian Zhang, Yunguo Guan, Fengwei Wang:
Towards Efficient and Privacy-Preserving Federated Learning for HMM Training. 38-43 - Kaiyue Zhang, Weiqi Wang, Zipei Fan, Xuan Song, Shui Yu:
Conditional Matching GAN Guided Reconstruction Attack in Machine Unlearning. 44-49 - Yingzhe Wang, Hongwei Li, Hanxiao Chen, Xilin Zhang, Meng Hao:
Practical and Privacy-Preserving Density-Based Clustering via Shuffling. 50-55 - Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle:
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-Based Analysis. 56-61 - Luis A. Garrido, Anestis Dalgkitsis, Golshan Famitafreshi, Apostolos Siokis, Kostas Ramantas, Christos V. Verikoukis:
An Experimental Platform of a Beyond-5G Network with Machine Learning Integration. 62-67 - Atiquzzaman Mondal, Keshav Singh, Sudip Biswas:
A Digital Twin Framework for Dynamic Monitoring of Hardware Impairment in RIS-Aided Networks. 68-73 - Qianqian Pan, Jun Wu, Xinping Guan, M. Jamal Deen:
Swarm Learning IRS in 6G-Metaverse: Secure Configurable Resources Trading for Reliable XR Communications. 74-79 - Hajar Moudoud, Wissal Hamhoum, Soumaya Cherkaoui:
Strengthening Open Radio Access Networks: Advancing Safeguards Through ZTA and Deep Learning. 80-85 - Ehsan Atefat Doost, Firooz B. Saghezchi, Pablo Fondo-Ferreiro, Felipe J. Gil-Castiñeira, Maria Papaioannou, John Vardakas, Jinwara Surattanagul, Jonathan Rodriguez:
Reconfigurable Intelligent Surface-Enabled Physical-Layer Network Coding for Higher Order M-QAM Signals. 86-91 - Xiran Zhang, Wen-Bin Sun, Xin Yang, Qian Xu, Ling Wang:
Opportunistic Transmission for Heterogeneous Cognitive Cellular Networks. 92-97 - Boyang Chen, Liyang Lu, Yuhan Dong, Zhaocheng Wang:
Adaptive-Blind Block SOMP for Compressive Spectrum Sensing. 98-103 - Zhuofei Li, Fengye Hu, Qihao Li, Zheng Chang, Timo Hämäläinen:
Optimizing Waveform Power Allocation in Cognitive DFRC Systems: An Individual User AoI Preference-Based Approach. 110-115 - Hu Zhou, Ying-Chang Liang:
RIS Design for Symbiotic Radio: A Mutualistic Spectrum Sharing Perspective. 116-121 - Hongze Liu, Haotian Fu, Shijing Yuan, Chentao Wu, Yuan Luo, Jie Li:
Adaptive Processing for Video Streaming with Energy Constraint: A Multi-Agent Reinforcement Learning Method. 122-127 - Jinwei Zhao, Jianping Pan:
QoE-driven Joint Decision-Making for Multipath Adaptive Video Streaming. 128-133 - Ziheng Xu, Wei Quan, Mingyuan Liu, Nan Cheng, Xue Zhang, Kang Liu, Deyun Gao:
FBMS: Friendliness Balancing Based Multipath Scheduling for Differential Video Streaming. 134-139 - Wenshu Huang, Yongyi Ran, Jie Rao, Jiangtao Luo, Shuangwu Chen:
Queue-Learning-Based QoE Optimization for Super-Resolution-Assisted Adaptive Video Streaming. 140-145 - Pingshan Liu, Zhangjing Cai, Qi Liang, Sizheng Fan:
The Advertising in Online Video Platform: A Game Theory Analysis. 146-151 - Ziming Dai, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, F. Richard Yu:
MG2FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems. 152-157 - Bingxu Hu, Xiaoyan Huang, Ke Zhang, Fan Wu, Chen Sun, Tao Cui, Yan Zhang:
Enhanced Federated Reinforcement Learning for Mobility-Aware Node Selection and Model Compression. 158-163 - Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin:
Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach. 164-169 - Fuqiang Gu, Liang Shi, Hang Guo, Jianga Shang:
Deep Fingerprint Metric Learning for KNN-Based Indoor Localization. 182-188 - Philipp Peterseil, Bernhard Etzlinger, Roya Khanzadeh, Andreas Springer:
Trustworthiness Score for UWB Indoor Localization. 189-194 - Sharief Saleh, Qamar Bader, Malek Karaim, Mohamed Elhabiby, Aboelmagd Noureldin:
Integrated 5G mmWave Positioning in Deep Urban Environments: Advantages and Challenges. 195-200 - Hyun Seob Oh, Seung Beom Seo, Jinwook Seo:
An Efficient Ultra-Wideband Infrastructure Planning for Indoor Positioning Systems Using DL-TDOA. 201-206 - Szu-Wei Chen, Ting-Hui Chiang, Yu-Chee Tseng, Yan-Ann Chen:
On Deep Learning-Based Indoor Positioning and Uncertainty Estimation. 207-212 - Mohamed Seif, Alphan Sahin, H. Vincent Poor, Andrea J. Goldsmith:
On Differential Privacy for Wireless Federated Learning with Non-coherent Aggregation. 213-218 - Mohsen Pourghasemian, Haris Gacanin, Erma Perenda:
Cooperative Partial Task-Offloading for Heterogeneous Industrial Robotic MEC System Using Spectral and Energy-Efficient Federated Learning. 219-224 - Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton:
A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. 225-230 - Chen-Han Shih, Jian-Jhih Kuo, Jang-Ping Sheu:
Information-Exchangeable Hierarchical Clustering for Federated Learning With Non-IID Data. 231-236 - Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
Federated Deep Learning for Intrusion Detection in IoT Networks. 237-242 - Mine Gokce Dogan, Martina Cardone, Christina Fragouli:
Supporting Passive Users in mmWave Networks. 243-248 - Zhenran Kuai, Shaowei Wang:
Online Virtual Network Function Scheduling Towards Deterministic Latency. 249-254 - Kagan Akcay, Mohammad Javad Salehi, Giuseppe Caire:
Optimal Fairness Scheduling for Coded Caching in Multi-AP Wireless Local Area Networks. 255-260 - Zhaolong Xue, Aoyu Gong, Yuan-Hsun Lo, Sirui Tian, Yijin Zhang:
Deadline-Constrained Opportunistic Spectrum Access with Spectrum Handoff. 261-266 - Haifeng Wen, Hong Xing, Osvaldo Simeone:
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping. 267-272 - Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Andrea Sciarrone, Matteo Zerbino:
Investigating Compressive Sensing Applications Through Real Infrastructures Inertial Signals Analysis. 279-284 - Lluís Martínez, Josep Vidal, Margarita Cabrera-Bean:
Contextual Multi-Armed Bandits for Non-Stationary Wireless Network Selection. 285-290 - Elsayed Mohammed, Omar Mashaal, Hatem Abou-Zeid:
Using Early Exits for Fast Inference in Automatic Modulation Classification. 291-296 - Sherif B. Azmy, Nizar Zorba, Hossam S. Hassanein:
Queueing Analysis of Incentive-Based Extreme Edge Service Systems. 297-301 - Amrita Rajput, Shikhar Saxena, Mainak Adhikari:
Edge-Assisted Framework for Malaria Parasite Detection on Cell Images Using Federated Learning. 302-307 - Zhenyu Wu, Zhenyuan Zhang, Zhiyang Ding, Joel J. P. C. Rodrigues:
IMG2InChI: Extracting Molecular Big Data from Chemical Images Using Transformer Models. 308-313 - Aya Farrag, Gad Gad, Zubair Md. Fadlullah, Mostafa M. Fouda:
Mammogram Tumor Segmentation with Preserved Local Resolution: An Explainable AI System. 314-319 - Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Justin Yang:
Improved Clustering Using Nice Initialization. 320-325 - Siya Chen, Chee-Wei Tan:
Neural Sum Rate Maximization with Deep Unrolling. 326-331 - Yanqing Lu, Meng Zhang, Ming Tang:
Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach. 332-337 - Sinwoong Yun, Dongsun Kim, Chanwon Park, Jemin Lee:
Joint Sensing and Computation Decision for Age of Information-Sensitive Wireless Networks: A Deep Reinforcement Learning Approach. 338-343 - Chao Huang, Pengchao Han, Jianwei Huang:
Incentive Mechanism Design for Distributed Ensemble Learning. 344-350 - Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Few-Shot Learning for New Environment Adaptation. 351-356 - Leyuan Liu, Junyi Chen, Liu Yu, Fan Zhou:
Self-Supervised Rumor Detection with Augmented Variational Graphs. 363-368 - Mohammad Farhoudi, Masoud Shokrnezhad, Tarik Taleb:
QoS-Aware Service Prediction and Orchestration in Cloud-Network Integrated Beyond 5G. 369-374 - Koki Horita, Norihiro Fukumoto, Akihiro Nakao:
Improving QoS of 5G Video Streaming Through Network Exposure Function. 375-380 - K. P. Naveen:
Spectrum Sharing in 5G NR-U as Network Utility Maximization with Clique Constraints. 381-387 - Mufan Liu, Jie Chen, Gang Wu, Lei Ji, Hao Wang:
Soft-Ack based Outer Loop Link Adaptation for Latency-constrained 5G Video Conferencing. 388-393 - Ashutosh Srivastava, Qing Zhao, Yi Lu, Ping Wang, Qi Qu, Zhu Ji, Yee Sin Chan, Shivendra S. Panwar:
Can 5G NR Sidelink Communications Support Wireless Augmented Reality? 394-400 - Jiacheng Hou, Tianhao Tao, Haoye Lu, Amiya Nayak:
An Optimized GNN-Based Caching Scheme for SDN-Based Information-Centric Networks. 401-406 - Ali Amhaz, Mohamed Kadry Elhattab, Chadi Assi, Sanaa Sharafeddine:
Integrated Sensing and Communication: NOMA vs Cooperative NOMA. 407-412 - Son Duong, Tuan Nguyen, Nam-Thang Hoang, Van Tong, Hai Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong X. Tran:
Server and Route Selection Optimization for Knowledge-Defined Distributed Network Based on Gambling Theory and LSTM Neural Networks. 413-418 - Sawsan AbdulRahman, Ouns Bouachir, Safa Otoum, Azzam Mourad:
Overcoming Resource Bottlenecks in Vehicular Federated Learning: A Cluster-Based and QoS-Aware Approach. 419-424 - Kefeng Guo, Min Wu, Xingwang Li, Shahid Mumtaz, Charalampos Tsimenidis:
Joint Optimization for RIS-Aided Hybrid FSO SAGINs with Deep Reinforcement Learning. 431-436 - Xiong Li, Qimei Cui, Daren Feng, Zhenzhen Gong, Xiaofeng Tao:
Deep Reinforcement Learning-Based Solution for Minimizing the Alterable Urgency of Information in UAV- Enabled IIoT System. 437-442 - Hassan El Alami, Neji Mensi, Danda B. Rawat:
On the Study of Joint Naive Bayes and Multi-Layer Perception for Detecting GPS Jamming in U AS. 443-448 - Delphin Raj Kesari Mary, Supriya Yarradoddi, Nancy Victor, Thippa Reddy Gadekallu, Jeongyeup Paek:
A Game-Theoretic Federated Learning Approach for Ship Detection from Aerial Images. 449-454 - Jiahao Zhu, Fu Xiao, Lu Zhao, Jian Zhou, Hui Cai, Xin He:
Cost-Effective Migration-Assisted User Reallocation in Edge Computing. 461-466 - Thanawat Chanikaphon, Mohsen Amini Salehi:
UMS: Live Migration of Containerized Services across Autonomous Computing Systems. 467-472 - Jianguo Xue, Ting Wang, Puyu Cai:
Towards Efficient Workflow Scheduling Over Yarn Cluster Using Deep Reinforcement Learning. 473-478 - Adyson Magalhães Maia, Yacine Ghamri-Doudane:
A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum. 479-485 - Shuo Li, Ejder Bastug, Catello Di Martino, Marco Di Renzo:
Dynamic Function Allocation in Edge Serverless Computing Networks. 486-491 - Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Muhammad Shahid:
Feet Pressure Prediction from Lower Limbs IMU Sensors for Wearable Systems in Remote Monitoring Architectures. 492-497 - Osman Salem, Ahmed Mehaoua, Raouf Boutaba:
Soft Voting for Anomaly Detection in Internet of Medical Things. 498-503 - Anshita Gupta, Sudip Misra, Nidhi Pathak:
StressAlly: A Smartphone-Based Stress Companion Recommender System for Students. 504-509 - Kumarjit Ray, Nabajyoti Medhi, Rajdeep Ghosh, Pritindra Das, Vicky Kumar Deka, Sudip Misra:
RISP-SDN: Reputation Aware IoMT Service Provisioning Using SDN in Edge/Fog-Based Systems. 510-515 - Adnan Yazici, Serik Almakhan, Enver Ever:
Real-Time Human Activity Recognition Using Dimensionality Reduction in Wireless Multimedia Sensor Networks. 516-521 - Zihan Lin, Zhaoyang Zhang, Xin Tong, Zhaohui Yang:
A Compressive Sensing Approach for MIMO-OFDM-Based Integrated Sensing and Communication. 522-527 - Guangyi Chen, Ruoyu Zhang, Hong Ren, Weijie Yuan, Chen Miao, Wen Wu:
Hybrid Beamforming Design with Overlapped Subarrays for Massive MIMO-ISAC Systems. 528-533 - Haocheng Hua, Jie Xu:
Near-Field 3D Localization via MIMO Radar: Cramér-Rao Bound and Estimator Design. 534-539 - Bin Liao, Hien Quoc Ngo, Michail Matthaiou, Peter J. Smith:
Low-Complexity Transmit Beamforming Design for Massive MIMO-ISAC Systems. 540-545 - Weihao Mao, Yang Lu, Jingxian Liu, Bo Ai, Zhangdui Zhong, Zhiguo Ding:
Beamforming Design in Cell-Free Massive MIMO Integrated Sensing and Communication Systems. 546-551 - Dongliang Jing, Lin Lin, Andrew W. Eckford:
Thermodynamic Energy Cost and Bit Error Rate of Imperfect Transmitters in Molecular Communication. 552-557 - Lisa Y. Debus, Pit Hofmann, Jorge Torres Gómez, Frank H. P. Fitzek, Falko Dressler:
Reinforcement Learning-Based Receiver for Molecular Communication with Mobility. 558-564 - Li Huang, Fuqiang Liu, Hao Yan, Lin Lin:
Molecular Communication Systems in Tubes with Non-Newtonian Fluid Flows. 565-570 - Pit Hofmann, Juan A. Cabrera, Riccardo Bassoli, Frank H. P. Fitzek:
Analog Network Coding in Molecular Communications: A Practical Implementation. 571-576 - Tyler Barker, Peter J. Thomas, Massimiliano Pierobon:
A Metric to Quantify Subjective Information in Biological Gradient Sensing. 577-582 - Zefang Lv, Yousong Du, Yifan Chen, Liang Xiao, Shuai Han, Xiangyang Ji:
Efficient Communications for Multi-Agent Reinforcement Learning in Wireless Networks. 583-588 - Yuwei Wang, Li Sun, Qinghe Du:
UC-FL: A User Cooperation Framework for Wireless Federated Learning. 589-594 - Hao Chen, Xixiang Lv, Wei Zheng:
AFL: Attention-Based Byzantine-Robust Federated Learning with Vector Filter. 595-600 - Zhuo Chen, Xiaoxiang Tan, Zhiyuan Zhou, Yang Zhou:
A Channel Aggregation Based Dynamic Pruning Method in Federated Learning. 601-606 - Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton:
MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. 607-612 - Qiucen Wu, Tian Lin, Yu Zhu:
Green Beamforming Design for IRS-Aided Systems Under Phase Shift-Related Power Consumption. 613-618 - Neha Sharma, Sumit Gautam, Symeon Chatzinotas, Björn E. Ottersten:
On Optimizing RIS-aided SWIPT-IoTs with Power Splitting-based Non-Linear Energy Harvesting. 619-624