| Nome |
# |
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Optimal association of mobile users to multi-access edge computing resources, file e383531b-5812-15e8-e053-a505fe0a3de9
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216
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Joint resource allocation for latency-constrained dynamic computation offloading with MEC, file e3835325-a069-15e8-e053-a505fe0a3de9
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170
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Graph-based learning under perturbations via total least-squares, file e3835325-e52f-15e8-e053-a505fe0a3de9
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162
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Latency-constrained dynamic computation offloading with energy harvesting IoT devices, file e3835325-a05e-15e8-e053-a505fe0a3de9
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154
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Distributed signal processing and optimization based on in-network subspace projections, file e3835325-22f2-15e8-e053-a505fe0a3de9
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151
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Topological signal processing over simplicial complexes, file e3835325-d33b-15e8-e053-a505fe0a3de9
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109
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Learning and management for internet of things. Accounting for adaptivity and scalability, file e3835320-225f-15e8-e053-a505fe0a3de9
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104
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Optimal resource allocation in femtocell networks based on Markov modeling of interferers' activity, file e383531d-ce41-15e8-e053-a505fe0a3de9
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69
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The edge cloud. A holistic view of communication, computation, and caching, file e3835325-d8af-15e8-e053-a505fe0a3de9
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53
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6G in the sky: On‐demand intelligence at the edge of 3D networks, file e3835328-9c4d-15e8-e053-a505fe0a3de9
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42
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Beyond private 5G networks: applications, architectures, operator models and technological enablers, file e383532d-f74f-15e8-e053-a505fe0a3de9
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29
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Sampling and recovery of graph signals, file e383531c-7f9e-15e8-e053-a505fe0a3de9
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6
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Graph topology inference based on sparsifying transform learning, file e3835320-2261-15e8-e053-a505fe0a3de9
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6
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On the graph Fourier transform for directed graphs, file e383531f-dc53-15e8-e053-a505fe0a3de9
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4
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Dynamic computation offloading in multi-access edge computing via ultra-reliable and low-latency communications, file e3835325-2158-15e8-e053-a505fe0a3de9
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4
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Distributed joint optimization of radio and computational resources for mobile cloud computing, file e3835325-d8aa-15e8-e053-a505fe0a3de9
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4
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Distributed signal processing and optimization based on in-network subspace projections, file e3835326-95a1-15e8-e053-a505fe0a3de9
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4
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Dynamic computation offloading in multi-access edge computing via ultra-reliable and low-latency communications, file e3835327-fe6e-15e8-e053-a505fe0a3de9
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4
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Graph topology inference based on transform learning, file e3835328-29c3-15e8-e053-a505fe0a3de9
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4
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Joint optimization of radio and computational resources for multicell mobile-edge computing, file e383531d-f0a6-15e8-e053-a505fe0a3de9
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3
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Distributed adaptive learning of graph signals, file e383531e-56bb-15e8-e053-a505fe0a3de9
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3
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6G: The next frontier. From holographic messaging to artificial intelligence using subterahertz and visible light communication, file e3835322-d65d-15e8-e053-a505fe0a3de9
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3
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Fast distributed average consensus algorithms based on advection-diffusion processes, file e3835324-1518-15e8-e053-a505fe0a3de9
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3
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Enabling prediction via multi-layer graph inference and sampling, file e3835325-aa1b-15e8-e053-a505fe0a3de9
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3
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Dynamic resource allocation for wireless edge machine learning with latency and accuracy guarantees, file e3835325-c3ae-15e8-e053-a505fe0a3de9
|
3
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Distributed signal recovery based on in-network subspace projections, file e3835325-d33a-15e8-e053-a505fe0a3de9
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3
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Communicating while computing: Distributed mobile cloud computing over 5G heterogeneous networks, file e3835312-6b1d-15e8-e053-a505fe0a3de9
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2
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Swarming algorithms for distributed radio resource allocation: a further step in the direction of an ever-deeper synergism between biological mathematical modeling and signal processing, file e383531a-f0a0-15e8-e053-a505fe0a3de9
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2
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Distributed detection and estimation in wireless sensor networks, file e383531c-75a4-15e8-e053-a505fe0a3de9
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2
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Optimal beamforming for range-doppler ambiguity minimization in squinted SAR, file e383531c-92ec-15e8-e053-a505fe0a3de9
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2
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Parameter estimation of 2D multi-component polynomial phase signals: an application to SAR imaging of moving targets, file e383531c-9db6-15e8-e053-a505fe0a3de9
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2
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Adaptation and learning over complex networks, file e383531d-dc96-15e8-e053-a505fe0a3de9
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2
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Graph signal processing in the presence of topology uncertainties, file e3835324-d84f-15e8-e053-a505fe0a3de9
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2
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Joint optimization of radio and computational resources for multicell mobile cloud computing, file e3835325-a6d8-15e8-e053-a505fe0a3de9
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2
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Joint cell selection and radio resource allocation in MIMO small cell networks via successive convex approximation, file e3835325-c64a-15e8-e053-a505fe0a3de9
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2
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Joint optimization of collaborative sensing and radio resource allocation in small-cell networks, file e3835327-98bd-15e8-e053-a505fe0a3de9
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2
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Optimal topology control and power allocation for minimum energy consumption in consensus networks, file e3835327-c809-15e8-e053-a505fe0a3de9
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2
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Dynamic resource optimization for decentralized signal estimation in energy harvesting wireless sensor networks, file e3835328-122f-15e8-e053-a505fe0a3de9
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2
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2014 IEEE Signal Processing Society Best Paper Award, file e3835329-caa5-15e8-e053-a505fe0a3de9
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2
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2020 IEEE Signal Processing Society Best Paper Award, file e3835329-d301-15e8-e053-a505fe0a3de9
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2
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Online learning of time-varying signals and graphs, file e383532d-feb7-15e8-e053-a505fe0a3de9
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2
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Wireless Edge Machine Learning: Resource Allocation and Trade-Offs, file e383532e-75fb-15e8-e053-a505fe0a3de9
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2
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Dynamic Ensemble Inference at the Edge, file e383532e-acb1-15e8-e053-a505fe0a3de9
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2
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5G-MiEdge: Design, standardization and deployment of 5G phase II technologies: MEC and mmWaves joint development for Tokyo 2020 olympic games, file e3835319-6542-15e8-e053-a505fe0a3de9
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1
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Graph Fourier transform for directed graphs based on Lovász extension of min-cut, file e3835319-6818-15e8-e053-a505fe0a3de9
|
1
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Enabling effective mobile edge computing using millimeterwave links, file e3835319-681a-15e8-e053-a505fe0a3de9
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1
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Optimal sampling strategies for adaptive learning of graph signals, file e3835319-681b-15e8-e053-a505fe0a3de9
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1
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Distributed recursive least squares strategies for adaptive reconstruction of graph signals, file e3835319-681c-15e8-e053-a505fe0a3de9
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1
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Overbooking radio and computation resources in mmW-mobile edge computing to reduce vulnerability to channel intermittency, file e3835319-6f3c-15e8-e053-a505fe0a3de9
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1
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Distributed sum-rate maximization over finite rate coordination links affected by random failures, file e383531b-0b20-15e8-e053-a505fe0a3de9
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1
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Adaptive Least Mean Squares Estimation of Graph Signals, file e383531b-4dbe-15e8-e053-a505fe0a3de9
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1
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Small cell clustering for efficient distributed fog computing: A multi-user case, file e383531c-5a6d-15e8-e053-a505fe0a3de9
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1
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The fog balancing: Load distribution for small cell cloud computing, file e383531c-5dd2-15e8-e053-a505fe0a3de9
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1
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Decentralized resource assignment in cognitive networks based on swarming mechanisms over random graphs, file e383531c-7fae-15e8-e053-a505fe0a3de9
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1
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Bio-inspired decentralized radio access based on swarming mechanisms over adaptive networks, file e383531c-8390-15e8-e053-a505fe0a3de9
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1
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Adaptive graph signal processing: algorithms and optimal sampling strategies, file e383531c-92dd-15e8-e053-a505fe0a3de9
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1
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On the degrees of freedom of signals on graphs, file e383531c-a577-15e8-e053-a505fe0a3de9
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1
|
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A bio-inspired swarming algorithm for decentralized access in cognitive radio, file e383531c-b4d7-15e8-e053-a505fe0a3de9
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1
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Introduction to the issue on adaptation and learning over complex networks, file e383531d-d2f7-15e8-e053-a505fe0a3de9
|
1
|
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Where, when, and how mmWave is used in 5G and beyond, file e383531d-faa0-15e8-e053-a505fe0a3de9
|
1
|
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Small perturbation analysis of network topologies, file e3835321-e4a2-15e8-e053-a505fe0a3de9
|
1
|
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Robust graph signal processing in the presence of uncertainties on graph topology, file e3835322-1643-15e8-e053-a505fe0a3de9
|
1
|
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Signal and graph perturbations via total least-squares, file e3835322-1645-15e8-e053-a505fe0a3de9
|
1
|
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Dynamic joint resource allocation and user assignment in multi-access edge computing, file e3835322-6aa6-15e8-e053-a505fe0a3de9
|
1
|
|
Learning from signals defined over simplicity complexes, file e3835322-8abe-15e8-e053-a505fe0a3de9
|
1
|
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Computation offloading strategies based on energy minimization under computational rate constraints, file e3835322-ac08-15e8-e053-a505fe0a3de9
|
1
|
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Fast simulation performance evaluation of spaceborne SAR-GMTI missions for maritime applications, file e3835323-7b9f-15e8-e053-a505fe0a3de9
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1
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Decentralized estimation and control of algebraic connectivity of random ad-hoc networks, file e3835323-7bac-15e8-e053-a505fe0a3de9
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1
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On sparse controllability of graph signals, file e3835324-d3f3-15e8-e053-a505fe0a3de9
|
1
|
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Distributed adaptive learning of signals defined over graphs, file e3835325-110a-15e8-e053-a505fe0a3de9
|
1
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Network energy efficient mobile edge computing with reliability guarantees, file e3835325-85e3-15e8-e053-a505fe0a3de9
|
1
|
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Distributed adaptive learning of graph processes via in-network subspace projections, file e3835325-d2ed-15e8-e053-a505fe0a3de9
|
1
|
|
6G in the sky: On‐demand intelligence at the edge of 3D networks, file e3835328-545d-15e8-e053-a505fe0a3de9
|
1
|
|
null, file e3835328-e053-15e8-e053-a505fe0a3de9
|
1
|
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Topological signal processing: Making sense of data building on multiway relations, file e3835329-019d-15e8-e053-a505fe0a3de9
|
1
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6G networks. Beyond Shannon towards semantic and goal-oriented communications, file e383532b-5834-15e8-e053-a505fe0a3de9
|
1
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Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing, file e383532e-6444-15e8-e053-a505fe0a3de9
|
1
|
| Totale |
1384 |