Link scheduling using graph neural networks
Nettet18. jul. 2024 · Abstract and Figures Distributed power allocation is important for interference-limited wireless networks with dense transceiver pairs. In this paper, we aim to design low signaling overhead... Nettet12. sep. 2024 · For practical link scheduling schemes, centralized and distributed greedy heuristics are commonly used to approximate the solution to the MWIS problem. …
Link scheduling using graph neural networks
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NettetGraph neural networks (GNNs) have achieved remarkable performance in many graph analytics tasks such as node classification, link prediction and graph clustering. Existing GNN systems (e.g., PyG and DGL) adopt a tensor-centric programming model and train GNNs with manually written operators. Nettet2. feb. 2024 · Linear assignment [ 2] is a fundamental problem of combinatorial optimization; it aims to assign the elements of some finite set to the elements of another set. This is done under one-to-one matching constraints such that the resulting assignment satisfies some optimality conditions, like a minimum cost, or, in a dual way, a maximum …
Nettet18. nov. 2024 · For practical link scheduling schemes, distributed greedy approaches are commonly used to approximate the solution of the MWIS problem. However, these greedy schemes mostly ignore important topological information of the wireless networks. To overcome this limitation, we propose a distributed MWIS solver based on graph … Nettet4. okt. 2024 · Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels. We consider the problem of binary …
NettetAbstract Unsupervised Learning with Graph Neural Networks Thomas Kipf Universiteit van Amsterdam Many aspects of our world can be understood in terms of systems composed of interacting parts, ranging from multi-object systems in physics to complex social dynamics. Nettet4. okt. 2024 · Once the node embeddings are created, they finally undergo a link scheduling head, denoted by ψ:RF L→[0,1], which is another parametric function that maps each node embedding xLv to a normalized power level ψ(xLv) for the corresponding transmitter Txv.
NettetH. Topcuoglu, S. Hariri, and Min-You Wu. 2002. Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Transactions on Parallel and Distributed Systems 13, 3 (2002), 260--274. Google Scholar Digital Library; M. Zhang and Y. Chen. 2024. Link Prediction Based on Graph Neural Networks. arXiv:1802.09691 …
NettetBuilding Dynamic Knowledge Graphs from Text-based Games. Mikuláš Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche and Adam Trischler GraphMix: Improved Training of Graph Neural Networks for Semi-Supervised Learning. Vikas Verma, Alex M. Lamb, Juho Kannala, Yoshua Bengio and Jian Tang camtasia 2022 with crackNettet1. jan. 2024 · Graphs Link Scheduling using Graph Neural Networks January 2024 Authors: Zhongyuan Zhao Gunjan Verma Chirag Rao Ananthram Swami Show all 5 … fish and chips samford villageNettet23. nov. 2024 · Link Scheduling using Graph Neural Networks Abstract: Efficient scheduling of transmissions is a key problem in wireless networks. The main … fish and chips salt lake cityNettet18. nov. 2024 · The main challenge stems from the fact that optimal link scheduling involves solving a maximum weighted independent set (MWIS) problem, which is NP … cam target_layerNettetDistributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. Abstract: Distributed scheduling algorithms for throughput or utility maximization in dense wireless multi-hop networks can have overwhelmingly high overhead, causing increased congestion, energy consumption, radio footprint, and security vulnerability. fish and chips samlesburyNettet5. aug. 2024 · Our manuscript entitled “Link Scheduling Using Graph Neural Networks” is submitted to IEEE Journal on Selected Topics in Signal Processing. - Zhongyuan Zhao, Ph.D Zhongyuan Zhao, Ph.D Publications News Talks Teaching Blog Resources Zhongyuan Zhao Postdoctoral Research Associate Follow Houston, Texas Rice … fish and chips samfordNettetWe consider the problem of binary power control, or link scheduling, in wireless interference networks, where the power control policy is trained using graph … fish and chips salt lake city ut