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ORCIDDavid Gesbert
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- affiliation: Eurecom, Sophia Antipolis, France
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2020 – today
- 2023
[i98]Mohammadsaleh Nikooroo, Zdenek Becvar, Omid Esrafilian, David Gesbert:
Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee. CoRR abs/2301.08108 (2023)- 2022
- [j115]Antti Arvola
, Satya Krishna Joshi, Antti Tölli, David Gesbert:
PAPR Reduction in MIMO-OFDM via Power Efficient Transmit Waveform Shaping. IEEE Access 10: 47906-47920 (2022) - [j114]Guanzhang Liu, Zhengyang Hu, Lei Wang, Jiang Xue, Haifan Yin, David Gesbert:
Spatio-Temporal Neural Network for Channel Prediction in Massive MIMO-OFDM Systems. IEEE Trans. Commun. 70(12): 8003-8016 (2022) - [j113]Antonio Bazco Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset:
Asymptotically Achieving Centralized Rate on the Decentralized Network MISO Channel. IEEE Trans. Inf. Theory 68(1): 248-271 (2022) - [j112]Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert:
LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training. IEEE Trans. Veh. Technol. 71(3): 2979-2990 (2022) - [j111]Lorenzo Miretti, Emil Björnson, David Gesbert:
Team MMSE Precoding With Applications to Cell-Free Massive MIMO. IEEE Trans. Wirel. Commun. 21(8): 6242-6255 (2022) - [j110]Haifan Yin, David Gesbert:
A Partial Channel Reciprocity-Based Codebook for Wideband FDD Massive MIMO. IEEE Trans. Wirel. Commun. 21(9): 7696-7710 (2022) - [j109]Xinghe Chu, Zhaoming Lu, David Gesbert, Luhan Wang, Xiangming Wen, Muqing Wu, Meiling Li:
Joint Vehicular Localization and Reflective Mapping Based on Team Channel-SLAM. IEEE Trans. Wirel. Commun. 21(10): 7957-7974 (2022) - [j108]Placido Mursia, Italo Atzeni, Laura Cottatellucci, David Gesbert:
Enforcing Statistical Orthogonality in Massive MIMO Systems via Covariance Shaping. IEEE Trans. Wirel. Commun. 21(10): 8106-8119 (2022) - [j107]Ziao Qin, Haifan Yin, Yandi Cao, Weidong Li, David Gesbert:
A Partial Reciprocity-Based Channel Prediction Framework for FDD Massive MIMO With High Mobility. IEEE Trans. Wirel. Commun. 21(11): 9638-9652 (2022) - [c176]Matteo Zecchin, David Gesbert, Marios Kountouris:
UAV-Aided Decentralized Learning over Mesh Networks. EUSIPCO 2022: 702-706 - [c175]Mohamad Mestoukirdi, Omid Esrafilian, David Gesbert, Qianrui Li:
UAV-Aided Multi-Community Federated Learning. GLOBECOM 2022: 1314-1319 - [c174]Matteo Bernabé, David López-Pérez, David Gesbert, Harvey Bao:
On the Optimization of Cellular Networks for UAV Aerial Corridor Support. GLOBECOM 2022: 2969-2974 - [c173]Mohammadsaleh Nikooroo, Omid Esrafilian, Zdenek Becvar, David Gesbert:
Sum Capacity Maximization in Multi-Hop Mobile Networks with Flying Base Stations. GLOBECOM 2022: 6565-6570 - [c172]Ziao Qin, Haifan Yin, David Gesbert:
A Channel Estimation Framework for High-mobility FDD Massive MIMO using Partial Reciprocity. ICC 2022: 213-218 - [c171]Omid Esrafilian, Rajeev Gangula, David Gesbert:
UAV-aided Wireless Node Localization Using Hybrid Radio Channel Models. ICC Workshops 2022: 1083-1088 - [c170]Raphael Trumpp, Harald Bayerlein, David Gesbert:
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance. IV 2022: 331-336 - [i97]Haifan Yin, David Gesbert:
A Partial Channel Reciprocity-based Codebook for Wideband FDD Massive MIMO. CoRR abs/2201.10829 (2022) - [i96]Ziao Qin, Haifan Yin, Yandi Cao, Weidong Li, David Gesbert:
A Partial Reciprocity-based Channel Prediction Framework for FDD massive MIMO with High Mobility. CoRR abs/2202.05564 (2022) - [i95]Matteo Zecchin, David Gesbert, Marios Kountouris:
UAV-Aided Decentralized Learning over Mesh Networks. CoRR abs/2203.01008 (2022) - [i94]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust PACm: Training Ensemble Models Under Model Misspecification and Outliers. CoRR abs/2203.01859 (2022) - [i93]Omid Esrafilian, Rajeev Gangula, David Gesbert:
UAV-aided Wireless Node Localization Using Hybrid Radio Channel Models. CoRR abs/2205.03327 (2022) - [i92]David Gesbert, Omid Esrafilian, Junting Chen, Rajeev Gangula, Urbashi Mitra:
UAV-aided RF Mapping for Sensing and Connectivity in Wireless Networks. CoRR abs/2205.03335 (2022) - [i91]Matteo Zecchin, Marios Kountouris, David Gesbert:
Communication-Efficient Distributionally Robust Decentralized Learning. CoRR abs/2205.15614 (2022) - [i90]Mohamad Mestoukirdi, Omid Esrafilian, David Gesbert, Qianrui Li:
UAV-Aided Multi-Community Federated Learning. CoRR abs/2206.02043 (2022) - [i89]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. CoRR abs/2207.00300 (2022) - [i88]Lorenzo Miretti, Emil Björnson, David Gesbert:
Team Precoding Towards Scalable Cell-free Massive MIMO Networks. CoRR abs/2208.11677 (2022) - [i87]Mohammadsaleh Nikooroo, Zdenek Becvar, Omid Esrafilian, David Gesbert:
QoS-Aware Sum Capacity Maximization for Mobile Internet of Things Devices Served by UAVs. CoRR abs/2210.11880 (2022) - [i86]Mohammadsaleh Nikooroo, Omid Esrafilian, Zdenek Becvar, David Gesbert:
Sum Capacity Maximization in Multi-Hop Mobile Networks with Flying Base Stations. CoRR abs/2210.11884 (2022) - 2021
- [j106]Jinhui Chen, Zhan Xu, David Gesbert, Kai Yang, Ruxin Zhi:
Spatially Asymptotic Behavior of Structured Covariance Matrix Estimation for Massive MIMO. IEEE Commun. Lett. 25(8): 2594-2598 (2021) - [j105]Omid Esrafilian, Rajeev Gangula, David Gesbert:
Three-Dimensional-Map-Based Trajectory Design in UAV-Aided Wireless Localization Systems. IEEE Internet Things J. 8(12): 9894-9904 (2021) - [j104]Placido Mursia, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Laura Cottatellucci, Xavier Pérez Costa, David Gesbert:
RISMA: Reconfigurable Intelligent Surfaces Enabling Beamforming for IoT Massive Access. IEEE J. Sel. Areas Commun. 39(4): 1072-1085 (2021) - [j103]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning. IEEE Open J. Commun. Soc. 2: 1171-1187 (2021) - [j102]Lorenzo Miretti, Mari Kobayashi, David Gesbert, Paul de Kerret:
Cooperative Multiple-Access Channels With Distributed State Information. IEEE Trans. Inf. Theory 67(8): 5185-5199 (2021) - [j101]Xinghe Chu, Zhaoming Lu, David Gesbert, Luhan Wang, Xiangming Wen:
Vehicle Localization via Cooperative Channel Mapping. IEEE Trans. Veh. Technol. 70(6): 5719-5733 (2021) - [j100]Flavio Maschietti, Gábor Fodor, David Gesbert, Paul de Kerret:
User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO. IEEE Trans. Wirel. Commun. 20(5): 2961-2976 (2021) - [j99]Junting Chen, Urbashi Mitra, David Gesbert:
3D Urban UAV Relay Placement: Linear Complexity Algorithm and Analysis. IEEE Trans. Wirel. Commun. 20(8): 5243-5257 (2021) - [j98]Mehyar Najla, Zdenek Becvar, Pavel Mach, David Gesbert:
Positioning and Association Rules for Transparent Flying Relay Stations. IEEE Wirel. Commun. Lett. 10(6): 1276-1280 (2021) - [c169]Lorenzo Miretti, Emil Björnson, David Gesbert:
Team Precoding Towards Scalable Cell-free Massive MIMO Networks. ACSCC 2021: 1222-1227 - [c168]Omid Esrafilian, Harald Bayerlein, David Gesbert:
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks. GLOBECOM 2021: 1-6 - [c167]Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset:
User-Centric Federated Learning. GLOBECOM (Workshops) 2021: 1-6 - [c166]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. ICAR 2021: 539-546 - [c165]Omid Esrafilian, Rajeev Gangula, David Gesbert:
Map Reconstruction in UAV Networks via Fusion of Radio and Depth Measurements. ICC 2021: 1-6 - [c164]Lorenzo Miretti, Emil Björnson, David Gesbert:
Precoding for Scalable Cell-free Massive MIMO with Radio Stripes. SPAWC 2021: 411-415 - [c163]Zipeng Wang, Li Tan, Haifan Yin, Kai Wang, Xilong Pei, David Gesbert:
A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations. SPAWC 2021: 561-565 - [i85]Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert:
D2D-Aided Multi-Antenna Multicasting under Generalized CSIT. CoRR abs/2102.01624 (2021) - [i84]Omid Esrafilian, Harald Bayerlein, David Gesbert:
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks. CoRR abs/2104.10403 (2021) - [i83]Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert:
A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection. CoRR abs/2104.14579 (2021) - [i82]Lorenzo Miretti, Emil Björnson, David Gesbert:
Team MMSE Precoding with Applications to Cell-free Massive MIMO. CoRR abs/2104.15027 (2021) - [i81]Zipeng Wang, Li Tan, Haifan Yin, Kai Wang, Xilong Pei, David Gesbert:
A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations. CoRR abs/2105.06082 (2021) - [i80]Placido Mursia, Italo Atzeni, Laura Cottatellucci, David Gesbert:
Enforcing Statistical Orthogonality in Massive MIMO Systems via Covariance Shaping. CoRR abs/2106.07952 (2021) - [i79]Lingchao Guo, Zhaoming Lu, Xiangming Wen, Liming Wang, David Gesbert, Zijun Han:
Leveraging Multiple Legacy Wi-Fi Links for Human Behavior Sensing. CoRR abs/2108.00660 (2021) - [i78]Raphael Trumpp, Harald Bayerlein, David Gesbert:
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance. CoRR abs/2109.15266 (2021) - [i77]Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset:
User-Centric Federated Learning. CoRR abs/2110.09869 (2021) - 2020
- [j97]Haifan Yin, Haiquan Wang, Yingzhuang Liu, David Gesbert:
Addressing the Curse of Mobility in Massive MIMO With Prony-Based Angular-Delay Domain Channel Predictions. IEEE J. Sel. Areas Commun. 38(12): 2903-2917 (2020) - [j96]Ehsan Tohidi, Rouhollah Amiri, Mario Coutino, David Gesbert, Geert Leus, Amin Karbasi:
Submodularity in Action: From Machine Learning to Signal Processing Applications. IEEE Signal Process. Mag. 37(5): 120-133 (2020) - [j95]Qianrui Li, Paul de Kerret, David Gesbert, Nicolas Gresset:
Robust Regularized ZF in Cooperative Broadcast Channel Under Distributed CSIT. IEEE Trans. Inf. Theory 66(3): 1845-1860 (2020) - [j94]Antonio Bazco Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset:
On the Degrees-of-Freedom of the K-User Distributed Broadcast Channel. IEEE Trans. Inf. Theory 66(9): 5642-5659 (2020) - [j93]Paul de Kerret, David Gesbert, Jingjing Zhang, Petros Elia:
Optimal DoF of the K-User Broadcast Channel With Delayed and Imperfect Current CSIT. IEEE Trans. Inf. Theory 66(11): 7056-7066 (2020) - [j92]Junting Chen, David Gesbert:
Efficient Local Map Search Algorithms for the Placement of Flying Relays. IEEE Trans. Wirel. Commun. 19(2): 1305-1319 (2020) - [j91]Mehyar Najla, Zdenek Becvar, Pavel Mach, David Gesbert:
Predicting Device-to-Device Channels From Cellular Channel Measurements: A Learning Approach. IEEE Trans. Wirel. Commun. 19(11): 7124-7138 (2020) - [c162]Lorenzo Miretti, David Gesbert:
Interference Mitigation for Cooperative MIMO Channels with Asymmetric Feedback. ACSSC 2020: 984-989 - [c161]Ehsan Tohidi, David Gesbert, Philippe Ciblat:
Distributed Resource Allocation Algorithms for Multi-Operator Cognitive Communication Systems. EUSIPCO 2020: 1737-1741 - [c160]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. GLOBECOM 2020: 1-6 - [c159]Ehsan Tohidi, Junting Chen, David Gesbert:
Sensor Selection for Model-Free Source Localization: where Less is More. ICASSP 2020: 4831-4835 - [c158]Xinghe Chu, Zhaoming Lu, Luhan Wang, Xiangming Wen, David Gesbert:
Team Channel-SLAM: A Cooperative Mapping Approach to Vehicle Localization. ICC Workshops 2020: 1-6 - [c157]Omid Esrafilian, Rajeev Gangula, David Gesbert:
3D-Map Assisted UAV Trajectory Design Under Cellular Connectivity Constraints. ICC 2020: 1-6 - [c156]Lorenzo Miretti, Mari Kobayashi, David Gesbert:
Precoding for Cooperative MIMO Channels with Asymmetric Feedback. ICC 2020: 1-6 - [c155]Ehsan Tohidi, David Gesbert, Antonio Bazco Nogueras, Paul de Kerret:
Decentralizing Multi-Operator Cognitive Radio Resource Allocation: An Asymptotic Analysis. ICC 2020: 1-6 - [c154]Haifan Yin, Haiquan Wang, Yingzhuang Liu, David Gesbert:
Dealing with the Mobility Problem of Massive MIMO using Extended Prony's Method. ICC 2020: 1-6 - [c153]Omid Esrafilian, Rajeev Gangula, David Gesbert:
Autonomous UAV-aided Mesh Wireless Networks. INFOCOM Workshops 2020: 634-640 - [c152]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. IROS 2020: 1444-1449 - [c151]Antonio Bazco Nogueras, Arash Gholami Davoodi, Paul de Kerret, David Gesbert, Nicolas Gresset, Syed Ali Jafar:
DoF Region of the Decentralized MIMO Broadcast Channel - How many informed antennas do we need? ISIT 2020: 1468-1473 - [c150]Mehyar Najla, Zdenek Becvar, Pavel Mach, David Gesbert:
Integrating UAVs as Transparent Relays into Mobile Networks: A Deep Learning Approach. PIMRC 2020: 1-6 - [c149]Matteo Zecchin, David Gesbert, Marios Kountouris:
Team Deep Mixture of Experts for Distributed Power Control. SPAWC 2020: 1-5 - [i76]Antonio Bazco Nogueras, Arash Gholami Davoodi, Paul de Kerret, David Gesbert, Nicolas Gresset, Syed Ali Jafar:
DoF Region of the Decentralized MIMO Broadcast Channel$\unicode{x2014}$How many informed antennas do we need? CoRR abs/2001.04358 (2020) - [i75]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. CoRR abs/2003.02609 (2020) - [i74]Antonio Bazco Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset:
Asymptotically Achieving Centralized Rate on the Decentralized Network MISO Channel. CoRR abs/2004.11918 (2020) - [i73]Ehsan Tohidi, David Gesbert, Antonio Bazco Nogueras, Paul de Kerret:
Decentralizing Multi-Operator Cognitive Radio Resource Allocation: An Asymptotic Analysis. CoRR abs/2005.02746 (2020) - [i72]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. CoRR abs/2007.00544 (2020) - [i71]Placido Mursia, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Laura Cottatellucci, Xavier Costa-Pérez, David Gesbert:
RISMA: Reconfigurable Intelligent Surfaces Enabling Beamforming for IoT Massive Access. CoRR abs/2007.09386 (2020) - [i70]Matteo Zecchin, David Gesbert, Marios Kountouris:
Team Deep Mixture of Experts for Distributed Power Control. CoRR abs/2007.14147 (2020) - [i69]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. CoRR abs/2010.06917 (2020) - [i68]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning. CoRR abs/2010.12461 (2020) - [i67]Flavio Maschietti, Gábor Fodor, David Gesbert, Paul de Kerret:
User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO. CoRR abs/2012.09106 (2020)
2010 – 2019
- 2019
- [j90]Omid Esrafilian, Rajeev Gangula, David Gesbert:
Learning to Communicate in UAV-Aided Wireless Networks: Map-Based Approaches. IEEE Internet Things J. 6(2): 1791-1802 (2019) - [j89]David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos:
Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part I. IEEE J. Sel. Areas Commun. 37(10): 2181-2183 (2019) - [j88]Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar:
Machine Learning in the Air. IEEE J. Sel. Areas Commun. 37(10): 2184-2199 (2019) - [j87]David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos:
Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part 2. IEEE J. Sel. Areas Commun. 37(11): 2409-2412 (2019) - [j86]Shuang Qiu, David Gesbert, Da Chen, Tao Jiang:
A Covariance-Based Hybrid Channel Feedback in FDD Massive MIMO Systems. IEEE Trans. Commun. 67(12): 8365-8377 (2019) - [j85]Yong Zeng, Mérouane Debbah, David Gesbert, Ismail Güvenç, Shi Jin, Jie Xu:
Guest Editorial. IEEE Wirel. Commun. 26(1): 10-11 (2019) - [j84]Antonio Bazco Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset:
Distributed CSIT Does Not Reduce the Generalized DoF of the 2-User MISO Broadcast Channel. IEEE Wirel. Commun. Lett. 8(3): 685-688 (2019) - [c148]Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert:
D2D-Aided Multi-Antenna Multicasting in a Dense Network. ACSSC 2019: 675-679 - [c147]Lorenzo Miretti, Paul de Kerret, David Gesbert:
On A Fundamental Predictability-Distortion Trade-Off in Decentralized Decisional Networks. ACSSC 2019: 1071-1075 - [c146]Mehyar Najla, David Gesbert, Zdenek Becvar, Pavel Mach:
Machine Learning for Power Control in D2D Communication Based on Cellular Channel Gains. GLOBECOM Workshops 2019: 1-6 - [c145]Flavio Maschietti, David Gesbert, Paul de Kerret:
Coordinated Beam Selection in Millimeter Wave Multi-User MIMO using Out-of-Band Information. ICC 2019: 1-6 - [c144]Flavio Maschietti, Paul de Kerret, David Gesbert:
Exploring the Trade-Off Between Privacy and Coordination in Millimeter Wave Spectrum Sharing. ICC 2019: 1-6 - [c143]Placido Mursia, Italo Atzeni, David Gesbert, Mari Kobayashi:
D2D-Aided Multi-Antenna Multicasting. ICC 2019: 1-6 - [c142]Antonio Bazco Nogueras, Lorenzo Miretti, Paul de Kerret, David Gesbert, Nicolas Gresset:
Achieving Vanishing Rate Loss in Decentralized Network MIMO. ISIT 2019: 1457-1461 - [c141]Flavio Maschietti, Gábor Fodor, David Gesbert, Paul de Kerret:
Coordinated Beam Selection for Training Overhead Reduction in FDD Massive MIMO. ISWCS 2019: 490-494 - [c140]Lorenzo Miretti, Paul de Kerret, David Gesbert:
On the Fundamental Limits of Cooperative Multiple-Access Channels with Distributed CSIT. ITW 2019: 1-5 - [c139]Junting Chen, Urbashi Mitra, David Gesbert:
Optimal UAV Relay Placement for Single User Capacity Maximization over Terrain with Obstacles. SPAWC 2019: 1-5 - [i66]Antonio Bazco Nogueras, Lorenzo Miretti, Paul de Kerret, David Gesbert, Nicolas Gresset:
Achieving Vanishing Rate Loss in Decentralized Network MIMO. CoRR abs/1901.06849 (2019) - [i65]Shuang Qiu, David Gesbert, Da Chen, Tao Jiang:
A Covariance-Based Hybrid Channel Feedback in FDD Massive MIMO Systems. CoRR abs/1902.05184 (2019) - [i64]Flavio Maschietti, David Gesbert, Paul de Kerret:
Coordinated Beam Selection in Millimeter Wave Multi-User MIMO Using Out-of-Band Information. CoRR abs/1903.12589 (2019) - [i63]Flavio Maschietti, Paul de Kerret, David Gesbert:
Exploring the Trade-Off between Privacy and Coordination in Millimeter Wave Spectrum Sharing. CoRR abs/1904.00928 (2019) - [i62]Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar:
Machine Learning in the Air. CoRR abs/1904.12385 (2019) - [i61]Omid Esrafilian, Rajeev Gangula, David Gesbert:
3D-Map Assisted UAV Trajectory Design Under Cellular Connectivity Constraints. CoRR abs/1911.01124 (2019) - [i60]Mehyar Najla, Zdenek Becvar, Pavel Mach, David Gesbert:
Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach. CoRR abs/1911.07191 (2019) - [i59]Lorenzo Miretti, Mari Kobayashi, David Gesbert, Paul de Kerret:
Cooperative Multiple-Access Channels with Distributed State Information. CoRR abs/1911.07899 (2019) - [i58]Haifan Yin, Haiquan Wang, Yingzhuang Liu, David Gesbert:
Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions. CoRR abs/1912.11330 (2019) - 2018
- [j83]Xinping Yi, Hua Sun, Syed Ali Jafar, David Gesbert:
TDMA is Optimal for All-Unicast DoF Region of TIM if and only if Topology is Chordal Bipartite. IEEE Trans. Inf. Theory 64(3): 2065-2076 (2018) - [c138]Shuang Qiu, David Gesbert, Tao Jiang:
Enabling Covariance-Based Feedback in Massive MIMO: A User Classification Approach. ACSSC 2018: 162-166 - [c137]Minhoe Kim, Paul de Kerret, David Gesbert:
Learning to Cooperate in Decentralized Wireless Networks. ACSSC 2018: 281-285 - [c136]Harald Bayerlein, Rajeev Gangula, David Gesbert:
Learning to Rest: A Q-Learning Approach to Flying Base Station Trajectory Design with Landing Spots. ACSSC 2018: 724-728 - [c135]