Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMarco Levorato
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j44]Yoshitomo Matsubara
, Marco Levorato, Francesco Restuccia:
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges. ACM Comput. Surv. 55(5): 90:1-90:30 (2023)- [j43]Wei Xu, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, Mérouane Debbah:
Guest Editorial Distributed Signal Processing for Edge Learning in B5G IoT Networks. IEEE J. Sel. Top. Signal Process. 17(1): 3-8 (2023) - [j42]Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, Mérouane Debbah:
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing. IEEE J. Sel. Top. Signal Process. 17(1): 9-39 (2023) - [j41]Mohanad Odema, Luke Chen, Marco Levorato, Mohammad Abdullah Al Faruque:
Testudo: Collaborative Intelligence for Latency-Critical Autonomous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 1770-1783 (2023) - [c95]Anas Alsoliman, Forough Shirin Abkenar, Marco Levorato:
State-Recovery Protocol for URLLC Applications in 5G Systems. WiSNeT 2023: 20-23 - [i37]Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CoRR abs/2305.00111 (2023) - 2022
- [j40]Augusto Vega, Alper Buyuktosunoglu, Davide Callegaro, Marco Levorato, Pradip Bose:
Cloud-backed mobile cognition. Computing 104(3): 461-479 (2022) - [j39]Kevin Choi, Luca Bedogni, Marco Levorato:
Enabling Green Crowdsourced Social Delivery Networks in Urban Communities. Sensors 22(4): 1541 (2022) - [c94]Alexander Lianides, Isaac Chan, Mohamed Ismail, Ian Harshbarger, Marco Levorato, Davide Callegaro, Sharon L. G. Contreras:
3D Object Detection for Aerial Platforms via Edge Computing: An Experimental Evaluation. DCOSS 2022: 252-260 - [c93]Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
Supervised Compression for Resource-Constrained Edge Computing Systems. WACV 2022: 923-933 - [c92]Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia:
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. WoWMoM 2022: 337-346 - [c91]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. WoWMoM 2022: 357-366 - [c90]Delaram Amiri, Janne Takalo-Mattila, Luca Bedogni, Marco Levorato, Nikil D. Dutt:
SIC-EDGE: Semantic Iterative ECG Compression for Edge-Assisted Wearable Systems. WoWMoM 2022: 377-385 - [i36]Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia:
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. CoRR abs/2201.02693 (2022) - [i35]Davide Callegaro, Francesco Restuccia, Marco Levorato:
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. CoRR abs/2201.04235 (2022) - [i34]Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
SC2: Supervised Compression for Split Computing. CoRR abs/2203.08875 (2022) - [i33]Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, Mérouane Debbah:
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing. CoRR abs/2206.00422 (2022) - [i32]Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini:
Matching DNN Compression and Cooperative Training with Resources and Data Availability. CoRR abs/2212.02304 (2022) - 2021
- [j38]Max Willian Soares Lima, Leonardo Guimarães, Eulanda Miranda dos Santos, Edleno Silva de Moura, Rafael Kohler Costa, Marco Levorato, Horacio A. B. Fernandes de Oliveira:
A Small World Graph Approach for an Efficient Indoor Positioning System. Sensors 21(15): 5013 (2021) - [j37]Davide Callegaro, Marco Levorato:
Optimal Edge Computing for Infrastructure-Assisted UAV Systems. IEEE Trans. Veh. Technol. 70(2): 1782-1792 (2021) - [j36]Soyi Jung, Joongheon Kim, Marco Levorato, Carlos Cordeiro, Jae-Hyun Kim:
Infrastructure-Assisted on-Driving Experience Sharing for Millimeter-Wave Connected Vehicles. IEEE Trans. Veh. Technol. 70(8): 7307-7321 (2021) - [c89]Peyman Tehrani, Francesco Restuccia, Marco Levorato:
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. DySPAN 2021: 248-253 - [c88]Ali Tazarv, Marco Levorato:
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. EMBC 2021: 5658-5662 - [c87]Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato:
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. EMBC 2021: 7332-7335 - [c86]Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. GoodIT 2021: 186-191 - [c85]Anas Alsoliman, Giulio Rigoni, Marco Levorato, Cristina M. Pinotti, Nils Ole Tippenhauer, Mauro Conti:
COTS Drone Detection using Video Streaming Characteristics. ICDCN 2021: 166-175 - [c84]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing. SECON 2021: 1-9 - [i31]Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia:
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges. CoRR abs/2103.04505 (2021) - [i30]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SeReMAS: Self-Resilient Mobile AutonomousSystems Through Predictive Edge Computing. CoRR abs/2105.15105 (2021) - [i29]Ali Tazarv, Marco Levorato:
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. CoRR abs/2108.00099 (2021) - [i28]Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato:
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. CoRR abs/2108.00144 (2021) - [i27]Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. CoRR abs/2108.01169 (2021) - [i26]Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
Supervised Compression for Resource-constrained Edge Computing Systems. CoRR abs/2108.11898 (2021) - [i25]Yoo Jeong Ha, Soyi Jung, Jae-Hyun Kim, Marco Levorato, Joongheon Kim:
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks. CoRR abs/2111.11856 (2021) - [i24]Peyman Tehrani, Francesco Restuccia, Marco Levorato:
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. CoRR abs/2112.03465 (2021) - 2020
- [j35]Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh:
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems. IEEE Access 8: 212177-212193 (2020) - [j34]Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems. ACM Trans. Comput. Heal. 1(2): 7:1-7:25 (2020) - [j33]Arman Anzanpour, Delaram Amiri, Iman Azimi, Marco Levorato, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani:
Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score. ACM Trans. Internet Things 2(1): 1:1-1:21 (2020) - [c83]Anas Alsoliman, Abdulrahman Bin Rabiah, Marco Levorato:
Privacy-Preserving Authentication Framework for UAS Traffic Management Systems. CSNet 2020: 1-8 - [c82]Sabur Baidya, Marco Levorato:
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. DCOSS 2020: 296-303 - [c81]Davide Callegaro, Yoshitomo Matsubara, Marco Levorato:
Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs. GLOBECOM 2020: 1-6 - [c80]Kevin Choi, Luca Bedogni, Marco Levorato:
Towards Green Crowdsourced Social Delivery Networks: A Feasibility Study. GLOBECOM 2020: 1-6 - [c79]Sabur Baidya, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. ICC Workshops 2020: 1-6 - [c78]Davide Callegaro, Sabur Baidya, Marco Levorato:
Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs. ICC 2020: 1-6 - [c77]Yoshitomo Matsubara, Marco Levorato:
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks. ICPR 2020: 2272-2279 - [c76]Peyman Tehrani, Marco Levorato:
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. SmartGridComm 2020: 1-6 - [i23]Myungjae Shin, Joongheon Kim, Marco Levorato:
Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks. CoRR abs/2001.03611 (2020) - [i22]Sabur Baidya, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. CoRR abs/2004.01300 (2020) - [i21]Yoshitomo Matsubara, Marco Levorato:
Split Computing for Complex Object Detectors: Challenges and Preliminary Results. CoRR abs/2007.13312 (2020) - [i20]Yoshitomo Matsubara, Marco Levorato:
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks. CoRR abs/2007.15818 (2020) - [i19]Peyman Tehrani, Marco Levorato:
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. CoRR abs/2009.06825 (2020)
2010 – 2019
- 2019
- [j32]Korosh Vatanparvar, Sina Faezi, Igor Burago, Marco Levorato, Mohammad Abdullah Al Faruque:
Extended Range Electric Vehicle With Driving Behavior Estimation in Energy Management. IEEE Trans. Smart Grid 10(3): 2959-2968 (2019) - [j31]Myungjae Shin, Joongheon Kim, Marco Levorato:
Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks. IEEE Trans. Veh. Technol. 68(5): 4235-4248 (2019) - [j30]Hyun-Ho Choi, Wonjae Shin, Marco Levorato, H. Vincent Poor:
Harvest-Or-Access: Slotted ALOHA for Wireless Powered Communication Networks. IEEE Trans. Veh. Technol. 68(11): 11394-11398 (2019) - [c75]Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Marco Levorato, Andrea Sciarrone:
Statistical Analysis of Wireless Traffic: An Adversarial Approach to Drone Surveillance. GLOBECOM 2019: 1-6 - [c74]Tao-Yi Lee, Marco Levorato, Nikil D. Dutt:
DNN-Assisted Sensor for Energy-Efficient ECG Monitoring. GLOBECOM 2019: 1-6 - [c73]Roberto Valentini, Roberto Alesii, Marco Levorato, Fortunato Santucci:
Cross-Layer Analysis of RFID Systems with Correlated Shadowing and Random Radiation Efficiency. ICC 2019: 1-7 - [c72]Igor Burago, Marco Levorato:
Cloud-Assisted On-Sensor Observation Classification in Latency-Impeded IoT Systems. ISIT 2019: 1462-1466 - [c71]Davide Callegaro, Sabur Baidya, Gowri Sankar Ramachandran, Bhaskar Krishnamachari, Marco Levorato:
Information Autonomy: Self-Adaptive Information Management for Edge-Assisted Autonomous UAV Systems. MILCOM 2019: 40-45 - [c70]Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh:
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. HotEdgeVideo@MOBICOM 2019: 21-26 - [c69]Davide Callegaro, Sabur Baidya, Marco Levorato:
A Measurement Study on Edge Computing for Autonomous UAVs. MAGESys@SIGCOMM 2019: 29-35 - [c68]Luca Bedogni, Octavian Bujor, Marco Levorato:
Texting and Driving Recognition Exploiting Subsequent Turns Leveraging Smartphone Sensors. WOWMOM 2019: 1-9 - [i18]Sabur Baidya, Marco Levorato:
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. CoRR abs/1907.10689 (2019) - [i17]Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir-Mohammad Rahmani, Pasi Liljeberg, Nikil D. Dutt, Marco Levorato:
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control. CoRR abs/1907.11989 (2019) - 2018
- [j29]Sanaz Rahimi Moosavi, Ethiopia Nigussie, Marco Levorato, Seppo Virtanen, Jouni Isoaho:
Low-Latency Approach for Secure ECG Feature Based Cryptographic Key Generation. IEEE Access 6: 428-442 (2018) - [j28]Kisong Lee, Jun-Pyo Hong, Hyun-Ho Choi, Marco Levorato:
Adaptive Wireless-Powered Relaying Schemes With Cooperative Jamming for Two-Hop Secure Communication. IEEE Internet Things J. 5(4): 2793-2803 (2018) - [j27]Sabur Baidya, Marco Levorato:
Content-Aware Cognitive Interference Control for Urban IoT Systems. IEEE Trans. Cogn. Commun. Netw. 4(3): 500-512 (2018) - [j26]Roberto Valentini, Marco Levorato, Fortunato Santucci:
Optimal Aging-Aware Channel Access and Power Allocation for Battery-Powered Devices With Radio Frequency Energy Harvesting. IEEE Trans. Commun. 66(11): 5773-5787 (2018) - [j25]Nadia Ahmed, Marco Levorato, G. P. Li:
Residential Consumer-Centric Demand Side Management. IEEE Trans. Smart Grid 9(5): 4513-4524 (2018) - [c67]Igor Burago, Marco Levorato:
Randomized Edge-Assisted On-Sensor Information Selection for Bandwidth-Constrained Systems. ACSSC 2018: 1462-1469 - [c66]Sanaz Rahimi Moosavi, Ethiopia Nigussie, Marco Levorato, Seppo Virtanen, Jouni Isoaho:
Performance Analysis of End-to-End Security Schemes in Healthcare IoT. ANT/SEIT 2018: 432-439 - [c65]Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt:
Edge-Assisted Sensor Control in Healthcare IoT. GLOBECOM 2018: 1-6 - [c64]Luca Bedogni, Marco Levorato:
Rising User Privacy Against Predictive Context Awareness Through Adversarial Information Injection. GLOBECOM 2018: 1-6 - [c63]Davide Callegaro, Marco Levorato:
Optimal Computation Offloading in Edge-Assisted UAV Systems. GLOBECOM 2018: 1-6 - [c62]Anna V. Guglielmi, Marco Levorato, Leonardo Badia:
A Bayesian Game Theoretic Approach to Task Offloading in Edge and Cloud Computing. ICC Workshops 2018: 1-6 - [c61]Sabur Baidya, Yan Chen, Marco Levorato:
eBPF-based content and computation-aware communication for real-time edge computing. INFOCOM Workshops 2018: 865-870 - [c60]Igor Burago, Marco Levorato:
Edge-Assited On-Sensor Information Selection for Bandwidth-Constrained System. ITA 2018: 1 - [c59]Sabur Baidya, Zoheb Shaikh, Marco Levorato:
FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot. MSWiM 2018: 37-45 - [c58]Max Willian Soares Lima, Horacio A. B. Fernandes de Oliveira, Eulanda Miranda dos Santos, Edleno Silva de Moura, Rafael Kohler Costa, Marco Levorato:
Efficient and Robust WiFi Indoor Positioning Using Hierarchical Navigable Small World Graphs. NCA 2018: 1-5 - [c57]Zoheb Shaikh, Sabur Baidya, Marco Levorato:
Robust Multi-Path Communications for UAVs in the Urban IoT. SECON Workshops 2018: 29-33 - [i16]Zoheb Shaikh, Sabur Baidya, Marco Levorato:
Robust Multi-Path Communications for UAVs in the Urban IoT. CoRR abs/1805.00151 (2018) - [i15]Sabur Baidya, Yan Chen, Marco Levorato:
eBPF-based Content and Computation-aware Communication for Real-time Edge Computing. CoRR abs/1805.02797 (2018) - [i14]Sabur Baidya, Zoheb Shaikh, Marco Levorato:
FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot. CoRR abs/1808.04967 (2018) - 2017
- [j24]Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt:
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. ACM Trans. Embed. Comput. Syst. 16(5s): 174:1-174:20 (2017) - [c56]Igor Burago, Davide Callegaro, Marco Levorato, Sameer Singh:
Intelligent data filtering in constrained IoT systems. ACSSC 2017: 928-935 - [c55]Korosh Vatanparvar, Sina Faezi, Igor Burago, Marco Levorato, Mohammad Abdullah Al Faruque:
Driving behavior modeling and estimation for battery optimization in electric vehicles: work-in-progress. CODES+ISSS 2017: 15:1-15:2 - [c54]Sabur Baidya, Marco Levorato:
Content-based interference management for video transmission in D2D communications underlaying LTE. ICNC 2017: 144-149 - [c53]Sabur Baidya, Marco Levorato:
Edge-assisted content and computation-driven dynamic network selection for real-time services in the urban IoT. INFOCOM Workshops 2017: 796-801 - [c52]Nicolò Michelusi, Marco Levorato:
Energy-based adaptive multiple access in LPWAN IoT systems with energy harvesting. ISIT 2017: 1112-1116 - [c51]Igor Burago, Marco Levorato, Sameer Singh:
Semantic compression for edge-assisted systems. ITA 2017: 1-7 - [c50]Igor Burago, Marco Levorato, Aakanksha Chowdhery:
Bandwidth-Aware Data Filtering in Edge-Assisted Wireless Sensor Systems. SECON 2017: 1-9 - [c49]Marco Levorato:
Cognitive Networking with Dynamic Traffic Classification and QoS Constraints. WCNC 2017: 1-6 - [i13]Igor Burago, Marco Levorato, Sameer Singh:
Semantic Compression for Edge-Assisted Systems. CoRR abs/1702.05863 (2017) - 2016
- [j23]Marco Levorato, Pradeep Chathuranga Weeraddana, Carlo Fischione:
Distributed Optimization of Channel Access Strategies in Reactive Cognitive Networks. IEEE Trans. Commun. 64(10): 4121-4133 (2016) - [j22]Roberto Valentini, Marco Levorato, Fortunato Santucci:
Aging Aware Random Channel Access for Battery-Powered Wireless Networks. IEEE Wirel. Commun. Lett. 5(2): 176-179 (2016) - [c48]Sabur Baidya, Marco Levorato:
Content-Based Cognitive Interference Control for City Monitoring Applications in the Urban IoT. GLOBECOM 2016: 1-6 - [c47]Roberto Valentini, Marco Levorato:
Optimal aging-aware channel access control for wireless networks with energy harvesting. ISIT 2016: 2754-2758 - [i12]Sabur Baidya, Marco Levorato:
Content-Based Interference Management for Video Transmission in D2D Communications Underlaying LTE. CoRR abs/1606.01953 (2016) - [i11]Sabur Baidya, Marco Levorato:
Content-based Cognitive Interference Control for City Monitoring Applications in the Urban IoT. CoRR abs/1606.01965 (2016) - [i10]Nicolò Michelusi, Marco Levorato:
Energy-Based Adaptive Multiple Access in LoRaWAN IoT Systems with Energy Harvesting. CoRR abs/1611.04150 (2016) - 2015
- [j21]Igor Burago, Marco Levorato:
Network Estimation in Cognition-Empowered Wireless Networks. IEEE Trans. Cogn. Commun. Netw. 1(2): 244-256 (2015) - [c46]Roberto Valentini, Marco Levorato, Carlo Fischione:
Performance analysis of IEEE 802.15.3c-Based mmW wireless networks. CISS 2015: 1-6 - [c45]Nga Dang, Roberto Valentini, Eli Bozorgzadeh, Marco Levorato, Nalini Venkatasubramanian:
A Unified Stochastic Model for Energy Management in Solar-Powered Embedded Systems. ICCAD 2015: 621-626 - [c44]Marco Levorato, Nalini Venkatasubramanian, Nikil D. Dutt:
Heat-aware transmission strategies. ITA 2015: 154-162 - [c43]Roberto Valentini, Nga Dang, Marco Levorato, Eli Bozorgzadeh:
Modeling and control battery aging in energy harvesting systems. SmartGridComm 2015: 515-520 - [i9]Qing Han, Chenxi Wang, Marco Levorato, Osvaldo Simeone:
On the Effect of Fronthaul Latency on ARQ in C-RAN Systems. CoRR abs/1510.07176 (2015) - [i8]Roberto Valentini, Nga Dang, Marco Levorato, Eli Bozorgzadeh:
Modeling And Control Battery Aging in Energy Harvesting Systems. CoRR abs/1511.03495 (2015) - 2014
- [j20]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Active Classification for POMDPs: A Kalman-Like State Estimator. IEEE Trans. Signal Process. 62(23): 6209-6224 (2014) - [j19]Federico Librino, Marco Levorato, Michele Zorzi:
An algorithmic solution for computing circle intersection areas and its applications to wireless communications. Wirel. Commun. Mob. Comput. 14(18): 1672-1690 (2014) - [c42]Marco Levorato, Pradeep Chathuranga Weeraddana, Carlo Fischione:
Distributed optimization of transmission strategies in reactive cognitive networks. GLOBECOM 2014: 905-910 - [c41]Marco Levorato, Nadia Ahmed, Yang Arthur Zhang:
Consumer in-the-loop: Consumers as part of residential smart energy systems. SmartGridComm 2014: 758-763 - 2013
- [j18]Nicolò Michelusi, Petar Popovski, Osvaldo Simeone, Marco Levorato, Michele Zorzi:
Cognitive Access Policies under a Primary ARQ Process via Forward-Backward Interference Cancellation. IEEE J. Sel. Areas Commun. 31(11): 2374-2386 (2013) - [j17]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Energy-Efficient, Heterogeneous Sensor Selection for Physical Activity Detection in Wireless Body Area Networks. IEEE Trans. Signal Process. 61(7): 1581-1594 (2013) - [c40]Marco Levorato, Sunil K. Narang, Urbashi Mitra, Antonio Ortega:
Optimization of wireless networks via graph interpolation. GlobalSIP 2013: 483-486 - [c39]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Kalman-like state tracking and control in POMDPS with applications to body sensing networks. ICASSP 2013: 5715-5719 - [c38]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Non-linear smoothers for discrete-time, finite-state Markov chains. ISIT 2013: 2099-2103 - [c37]