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ORCID22nd MobiHoc 2021: Shanghai, China
- MobiHoc '21: The Twenty-second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Shanghai, China, 26-29 July, 2021. ACM 2021, ISBN 978-1-4503-8558-9
- Hairi, Xin Liu, Lei Ying
:
Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic. 1-10 - Yihan Zou, Kwang Taik Kim, Xiaojun Lin, Mung Chiang:
Minimizing Age-of-Information in Heterogeneous Multi-Channel Systems: A New Partial-Index Approach. 11-20 - Xinzhe Fu, Eytan H. Modiano:
Learning-NUM: Network Utility Maximization with Unknown Utility Functions and Queueing Delay. 21-30 - Hao Kong, Li Lu, Jiadi Yu, Yingying Chen, Xiangyu Xu, Feilong Tang, Yi-Chao Chen:
MultiAuth: Enable Multi-User Authentication with Single Commodity WiFi Device. 31-40 - Mauro Piva, Gaia Maselli, Francesco Restuccia:
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting. 41-50 - Shaoran Li, Chengzhang Li, Yan Huang, Brian Jalaian, Y. Thomas Hou, Wenjing Lou:
Task Offloading with Uncertain Processing Cycles. 51-60 - Michele Polese, Francesco Restuccia, Tommaso Melodia:
DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks. 61-70 - Swadhin Pradhan, Shuozhe Li, Lili Qiu:
Rotation Sensing Using Passive RFID Tags. 71-80 - Jian He, Ghufran Baig, Lili Qiu:
Real-Time Deep Video Analytics on Mobile Devices. 81-90 - Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang:
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. 91-100 - Ramanujan K. Sheshadri, Eugene Chai, Karthikeyan Sundaresan, Sampath Rangarajan:
SkyHAUL: A Self-Organizing Gigabit Network In The Sky. 101-110 - Jiayu Pan, Ahmed M. Bedewy, Yin Sun, Ness B. Shroff:
Minimizing Age of Information via Scheduling over Heterogeneous Channels. 111-120 - Guidan Yao, Ahmed M. Bedewy, Ness B. Shroff:
Battle between Rate and Error in Minimizing Age of Information. 121-130 - Zhiyuan Wang, Jiancheng Ye, John C. S. Lui:
An Online Mean Field Approach for Hybrid Edge Server Provision. 131-140 - Sangwoo Moon, Sumyeong Ahn, Kyunghwan Son, Jinwoo Park, Yung Yi:
Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach. 141-150 - Yi Zhang, Soumya Basu, Sanjay Shakkottai, Robert W. Heath Jr.:
MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. 151-160 - Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Multi-Armed Bandits. 161-170 - Peshal Nayak, Edward W. Knightly:
uScope: a Tool for Network Managers to Validate Delay-Based SLAs. 171-180 - Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai:
Job Dispatching Policies for Queueing Systems with Unknown Service Rates. 181-190 - Saadallah Kassir, Gustavo de Veciana, Nannan Wang, Xi Wang, Paparao Palacharla:
Joint Update Rate Adaptation in Multiplayer Cloud-Edge Gaming Services: Spatial Geometry and Performance Tradeoffs. 191-200 - Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, Pan Li:
Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. 201-210 - Qi Shao, Man Hon Cheung, Jianwei Huang:
Crowdfunding with Strategic Pricing and Information Disclosure. 211-220 - Canhui Chen, Qian Ma, Xu Chen, Jianwei Huang:
User Distributions in Shard-based Blockchain Network: Queueing Modeling, Game Analysis, and Protocol Design. 221-230 - Yanjun Pan, Ziqi Xu, Ming Li, Loukas Lazos:
Man-in-the-Middle Attack Resistant Secret Key Generation via Channel Randomization. 231-240 - Vishrant Tripathi, Eytan H. Modiano:
An Online Learning Approach to Optimizing Time-Varying Costs of AoI. 241-250 - Amani Al-Shawabka, Philip Pietraski, Sudhir B. Pattar, Francesco Restuccia, Tommaso Melodia:
DeepLoRa: Fingerprinting LoRa Devices at Scale Through Deep Learning and Data Augmentation. 251-260 - Sen Lin, Mehmet Dedeoglu, Junshan Zhang:
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication. 261-270 - Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley:
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. 271-280
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