Cross-layer routing in wireless mesh networks. - Luigi Iannone; Ramin Khalili; Kavé Salamatian; Serge Fdida (ISWCS, 2004)

A New Analytic Approach to Evaluation of Packet Error Rate in Wireless Networks. - Ramin Khalili; Kavé Salamatian (CNSR, 2005)

On the capacity of erasure relay channel: multi-relay case. - Ramin Khalili; Kavé Salamatian (ITW, 2005)

A New Relaying Scheme for Cheap Wireless Relay Nodes. - Ramin Khalili; Kavé Salamatian (WiOpt, 2005)

A tighter Cut-Set bound for the multi-terminal erasure channel without side information. - Ramin Khalili; Kavé Salamatian (ISIT, 2006)

A Distributed Minimum-Distortion Routing Algorithm with In-Network Data Processing. - Ramin Khalili; James F. Kurose (INFOCOM, 2008)

Practical Algorithms for Gathering Stored Correlated Data in a Network. - Ramin Khalili; James F. Kurose (SECON, 2008)

Neighbor discovery in wireless networks and the coupon collector's problem. - Sudarshan Vasudevan; Donald F. Towsley; Dennis Goeckel; Ramin Khalili (MobiCom, 2009)

Neighbor Discovery with Reception Status Feedback to Transmitters. - Ramin Khalili; Dennis Goeckel; Donald F. Towsley; Ananthram Swami (INFOCOM, 2010)

Energy consumption comparison between macro-micro and public femto deployment in a plausible LTE network. - Katerina Dufková; Jean-Yves Le Boudec; Miroslav Popovic; Milan Bjelica; Ramin Khalili; Lukas Kencl (e-Energy, 2011)

Energy saving and capacity gain of micro sites in regular LTE networks: downlink traffic layer analysis. - Teklemariam Tsegay Tesfay; Ramin Khalili; Jean-Yves Le Boudec; Fred Richter; Albrecht J. Fehske (PM2HW2N@MSWiM, 2011)

MPTCP is not pareto-optimal: performance issues and a possible solution. - Ramin Khalili; Nicolas Gast; Miroslav Popovic; Utkarsh Upadhyay; Jean-Yves Le Boudec (CoNEXT, 2012)

On the benefits of applying experimental design to improve multipath TCP. - Christoph Paasch; Ramin Khalili; Olivier Bonaventure (CoNEXT, 2013)

Socket intents: leveraging application awareness for multi-access connectivity. - Philipp S. Schmidt; Theresa Enghardt; Ramin Khalili; Anja Feldmann (CoNEXT, 2013)

A measurement-based study of MultiPath TCP performance over wireless networks. - Yung-Chih Chen; Yeon-Sup Lim; Richard J. Gibbens; Erich M. Nahum; Ramin Khalili; Don Towsley (Internet Measurement Conference, 2013)

A System Theoretic Approach for Network Capacity in Finite Time and Space Regimes. - Florin Ciucu; Ramin Khalili; Yuming Jiang 001; Liu Yang; Yong Cui 001 (CoRR, 2013)

Multi-Source Multi-Path HTTP (mHTTP): A Proposal. - Juhoon Kim; Ramin Khalili; Anja Feldmann; Yung-Chih Chen; Don Towsley (CoRR, 2013)

MPTCP Is Not Pareto-Optimal: Performance Issues and a Possible Solution. - Ramin Khalili; Nicolas Gast; Miroslav Popovic; Jean-Yves Le Boudec (IEEE/ACM Trans. Netw., 2013)

MSPlayer: Multi-Source and multi-Path LeverAged YoutubER. - Yung-Chih Chen; Don Towsley; Ramin Khalili (CoNEXT, 2014)

Towards a system theoretic approach to wireless network capacity in finite time and space. - Florin Ciucu; Ramin Khalili; Yuming Jiang 001; Liu Yang; Yong Cui 001 (INFOCOM, 2014)

Urban mobility scaling: Lessons from 'little data'. - Galen J. Wilkerson; Ramin Khalili; Stefan Schmid 001 (INFOCOM Workshops, 2014)

Multi-source multipath HTTP (mHTTP): a proposal. - Juhoon Kim; Yung-Chih Chen; Ramin Khalili; Don Towsley; Anja Feldmann (SIGMETRICS, 2014)

Reducing State of OpenFlow Switches in Mobile Core Networks by Flow Rule Aggregation. - Ramin Khalili; Wint Yi Poe; Zoran Despotovic; Artur Hecker (ICCCN, 2016)

Identifying latency factors in SDN-based Mobile Core Networks. - Clarissa Cassales Marquezan; Xueli An; Zoran Despotovic; Ramin Khalili; Artur Hecker (ISCC, 2016)

Dispatching PACKET_INs to the right SDN control application via context interpretation in Mobile Core Networks. - Clarissa Cassales Marquezan; Xueli An; Zoran Despotovic; Ramin Khalili; Artur Hecker (NOMS, 2016)

Understanding processing latency of SDN based mobility management in mobile core networks. - Clarissa Cassales Marquezan; Zoran Despotovic; Ramin Khalili; David Pérez-Caparrós; Artur Hecker (PIMRC, 2016)

MSPlayer: Multi-Source and Multi-Path Video Streaming. - Yung-Chih Chen; Don Towsley; Ramin Khalili (IEEE J. Sel. Areas Commun., 2016)

SDN on ACIDs. - Maja Curic; Georg Carle; Zoran Despotovic; Ramin Khalili; Artur Hecker (CAN@CoNEXT, 2017)

Performance comparison of node-redundant multicast distribution trees in SDN networks. - Miroslav Popovic; Ramin Khalili; Jean-Yves Le Boudec (NetSys, 2017)

Towards Careless Wireless Mobile Networks. - Ahsan Malik; Xun Xiao; Ramin Khalili; Artur Hecker (GLOBECOM Workshops, 2018)

Autonomous Edge Resource Organization with Smallcell Integration in 5G. - Ahsan Malik; Xun Xiao; Ramin Khalili; Mayutan Arumaithurai; Xiaoming Fu 001; Zoran Despotovic; Artur Hecker (ICC Workshops, 2018)

Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage. - Taylan Sahin; Ramin Khalili; Mate Boban; Adam Wolisz (VNC, 2018)

Flow Setup Latency in SDN Networks. - Ramin Khalili; Zoran Despotovic; Artur Hecker (IEEE J. Sel. Areas Commun., 2018)

A Hybrid Sensing and Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. - Taylan Sahin; Mate Boban; Ramin Khalili; Adam Wolisz (ACSSC, 2019)

VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. - Taylan Sahin; Ramin Khalili; Mate Boban; Adam Wolisz (CAVS, 2019)

Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. - Stefan Schneider 008; Adnan Manzoor; Haydar Qarawlus; Rafael Schellenberg; Holger Karl; Ramin Khalili; Artur Hecker (CNSM, 2020)

Letting off STEAM: Distributed Runtime Traffic Scheduling for Service Function Chaining. - Marcel Blöcher; Ramin Khalili; Lin Wang 015; Patrick Eugster (INFOCOM, 2020)

Distributed Learning on Heterogeneous Resource-Constrained Devices. - Martin Rapp; Ramin Khalili; Jörg Henkel (CoRR, 2020)

LSTM-based QoS prediction for 5G-enabled Connected and Automated Mobility applications. - Sokratis Barmpounakis; Lina Magoula; Nikolaos Koursioumpas; Ramin Khalili; José Mauricio Perdomo; Ramya Panthangi Manjunath (5GWF, 2021)

iVRLS: In-coverage Vehicular Reinforcement Learning Scheduler. - Taylan Sahin; Mate Boban; Ramin Khalili; Adam Wolisz (VTC Spring, 2021)

Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. - Stefan Schneider 008; Ramin Khalili; Adnan Manzoor; Haydar Qarawlus; Rafael Schellenberg; Holger Karl; Artur Hecker (IEEE Trans. Netw. Serv. Manag., 2021)

DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. - Martin Rapp; Ramin Khalili; Kilian Pfeiffer; Jörg Henkel (AAAI, 2022)

Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions. - Jing Tan; Ramin Khalili; Holger Karl; Artur Hecker (INFOCOM, 2022)

CArDS: Dealing a New Hand in Reducing Service Request Completion Times. - Karima Saif Khandaker; Dirk Trossen; Ramin Khalili; Zoran Despotovic; Artur Hecker; Georg Carle (IFIP Networking, 2022)

mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. - Stefan Schneider 008; Stefan Werner; Ramin Khalili; Artur Hecker; Holger Karl (NOMS, 2022)

A Deep Learning Approach for Distributed QoS Prediction in Beyond 5G Networks. - Lina Magoula; Nikolaos Koursioumpas; Sokratis Barmpounakis; Panagiotis Kontopoulos; Miguel Angel Gutierrez-Estevez; Ramin Khalili; Apostolos Kousaridas (PIMRC, 2022)

Multi-agent reinforcement learning for long-term network resource allocation through auction: A V2X application. - Jing Tan; Ramin Khalili; Holger Karl; Artur Hecker (Comput. Commun., 2022)

CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. - Kilian Pfeiffer; Martin Rapp; Ramin Khalili; Jörg Henkel (CoRR, 2022)

Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games. - Jing Tan; Ramin Khalili; Holger Karl (CoRR, 2022)

Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning. - Taylan Sahin; Ramin Khalili; Mate Boban; Adam Wolisz (IEEE Trans. Veh. Technol., 2022)

Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. - Kilian Pfeiffer; Ramin Khalili; Jörg Henkel (NeurIPS, 2023)

A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. - Lina Magoula; Nikolaos Koursioumpas; Alexandros-Ioannis Thanopoulos; Theodora Panagea; Nikolaos Petropouleas; Miguel Angel Gutierrez-Estevez; Ramin Khalili (PIMRC, 2023)

Machine Learning for Computer Systems and Networking: A Survey. - Marios Evangelos Kanakis; Ramin Khalili; Lin Wang (ACM Comput. Surv., 2023)

Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. - Kilian Pfeiffer; Martin Rapp; Ramin Khalili; Jörg Henkel (ACM Comput. Surv., 2023)

Soft-Switching Bridgeless Buck PFC With Low THD. - Ramin Khalili; Ehsan Adib (IEEE Trans. Ind. Electron., 2023)

CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. - Kilian Pfeiffer; Martin Rapp; Ramin Khalili; Jörg Henkel (Trans. Mach. Learn. Res., 2023)

FedZero: Leveraging Renewable Excess Energy in Federated Learning. - Philipp Wiesner; Ramin Khalili; Dennis Grinwald; Pratik Agrawal; Lauritz Thamsen; Odej Kao (e-Energy, 2024)

Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES. - Marcel Blöcher; Nils Nedderhut; Pavel Chuprikov; Ramin Khalili; Patrick Eugster; Lin Wang 015 (INFOCOM, 2024)

Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices. - Kilian Pfeiffer; Mohamed Aboelenien Ahmed; Ramin Khalili; Jörg Henkel (CoRR, 2024)

Quality Time: Carbon-Aware Quality Adaptation for Energy-Intensive Services. - Philipp Wiesner; Dennis Grinwald; Philipp Weiß; Patrick Wilhelm; Ramin Khalili; Odej Kao (CoRR, 2024)

Multi-Agent Deep Reinforcement Learning for Coordinated Multipoint in Mobile Networks. - Stefan Schneider 008; Holger Karl; Ramin Khalili; Artur Hecker (IEEE Trans. Netw. Serv. Manag., 2024)

Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning. - Jing Tan; Ramin Khalili; Holger Karl (IEEE Trans. Intell. Transp. Syst., 2024)

A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. - Nikolaos Koursioumpas; Lina Magoula; Nikolaos Petropouleas; Alexandros-Ioannis Thanopoulos; Theodora Panagea; Nancy Alonistioti; Miguel Angel Gutierrez-Estevez; Ramin Khalili (IEEE Trans. Green Commun. Netw., 2024)

Collaborative Split Federated Learning with Parallel Training and Aggregation. - Yiannis Papageorgiou; Yannis Thomas; Alexios Filippakopoulos; Ramin Khalili; Iordanis Koutsopoulos (AIAI (2), 2025)

Carbon-Aware Quality Adaptation for Energy-Intensive Services. - Philipp Wiesner; Dennis Grinwald; Philipp Weiß; Patrick Wilhelm; Ramin Khalili; Odej Kao (e-Energy, 2025)

Large Language Model Partitioning for Low-Latency Inference at the Edge. - Dimitrios Kafetzis; Ramin Khalili; Iordanis Koutsopoulos (WiOpt, 2025)

Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices. - Mohamed Aboelenien Ahmed; Kilian Pfeiffer; Ramin Khalili; Heba Khdr; Jörg Henkel (CoRR, 2025)

Accelerated Training on Low-Power Edge Devices. - Mohamed Aboelenien Ahmed; Kilian Pfeiffer; Heba Khdr; Osama Abboud; Ramin Khalili; Jörg Henkel (CoRR, 2025)

DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks. - Nikolaos Koursioumpas; Lina Magoula; Ioannis Stavrakakis; Nancy Alonistioti; Miguel Angel Gutierrez-Estevez; Ramin Khalili (IEEE Trans. Veh. Technol., 2025)