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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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This paper explores techniques for beam prediction using multi-modal sensing data. Specifically, our aim is to develop a deep learning model that predicts the optimal beam using information collected from Camera, LiDAR, Radar, and GPS sensors. For this purpose, we propose ResNet-SE, which integrates a squeeze-and-excitation network with ResNet, and PIformer, a newly designed model that incorporates pooling-based attention and Inception mixer. Experimental results demonstrate a 22＼% improvement in prediction accuracy and a 38＼% reduction in training time compared to the state-of-the-art model.

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기사명 저자명 페이지 원문 목차
(A) probabilistic alternative to coverage analysis in uniform random wireless networks Junaid Farooq, Unnikrishna Pillai p. 282-297
Low complexity detectors for uplink massive MIMO based on a refinement of linear algorithms and efficient initialization Mahmoud A. Albreem, Saeed Abdallah, Mohamed Saad, Mahmoud Aldababsa, Khawla Alnajjar p. 298-309
CrossGuardian : a security domain isolation model for cross-chain gateway Haosu Cheng, Guanquan Shi, Kangkang Zhang p. 310-326
(An) architecture for bundle routing in space : collaborative contact negotiation and visionary server for DTN route development Cheol Hea Koo p. 327-344
Machine learning-based intrusion detection and prevention using cross-layer features in Internet of things (IoT) networks Noor Hafsa, Hadeel Alzoubi, Sajida Imran p. 345-358
Power control for D2D communication underlaying cellular networks based on deep Q-learning and fractional frequency reuse Tingting Yang, Yingqi Zhao, Jin Jin, Kaiyang Guo p. 359-368
Deep reinforcement learning-based user scheduling methods with low-complexity beamforming for massive MU-MIMO systems Yue Zhu, Shuang Li, Longxiang Guo, Wei Ge, Li Wei p. 369-385
Exploring blockchain and artificial intelligence for next generation wireless networks Vuppula Roopa, Himansu Shekhar Pradhan p. 386-411
Multi-modal sensing-assisted beam prediction using real-world dataset Yerin Yeo, Junghyun Kim, Jihyung Kim, Junhwan Lee p. 412-419

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