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2020 – today
- 2024
[j8]Arman Ghasemi
, Amin Shojaeighadikolaei, Morteza Hashemi:
Combating Uncertainties in Smart Grid Decision Networks: Multiagent Reinforcement Learning With Imperfect State Information. IEEE Internet Things J. 11(13): 23985-23997 (2024)- [c30]Masoud Ghazikor, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Interference-Aware Queuing Analysis for Distributed Transmission Control in UAV Networks. ICC 2024: 4524-4529 - [c29]Fatemeh Zahra Safaeipour, Morteza Hashemi:
Semantic-Aware and Goal-Oriented Communications for Object Detection in Wireless End-to-End Image Transmission. ICNC 2024: 182-187 - [c28]Babak Badnava, Jacob Chakareski, Morteza Hashemi:
Multi-Task Decision-Making for Multi-User $360^{\circ}$ Video Processing over Wireless Networks. MIPR 2024: 294-300 - [i30]Masoud Ghazikor, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Interference-Aware Queuing Analysis for Distributed Transmission Control in UAV Networks. CoRR abs/2401.11084 (2024) - [i29]Fatemeh Zahra Safaeipour, Morteza Hashemi:
Semantic-Aware and Goal-Oriented Communications for Object Detection in Wireless End-to-End Image Transmission. CoRR abs/2402.01064 (2024) - [i28]Jiajun Shen, Fengjun Li, Morteza Hashemi, Huazhen Fang:
Model-free Resilient Controller Design based on Incentive Feedback Stackelberg Game and Q-learning. CoRR abs/2403.08948 (2024) - [i27]Amin Shojaeighadikolaei, Zsolt Talata, Morteza Hashemi:
Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks. CoRR abs/2404.12520 (2024) - [i26]Sravan Reddy Chintareddy, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems. CoRR abs/2406.01727 (2024) - [i25]Babak Badnava, Jacob Chakareski, Morteza Hashemi:
Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks. CoRR abs/2407.03426 (2024) - [i24]Masoud Ghazikor, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Channel-Aware Distributed Transmission Control and Video Streaming in UAV Networks. CoRR abs/2408.01885 (2024) - [i23]Ziru Chen, Zhou Ni, Peiyuan Guan, Lu Wang, Lin X. Cai, Morteza Hashemi, Zongzhi Li:
Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks. CoRR abs/2408.03446 (2024) - 2023
- [j7]Guidan Yao, Morteza Hashemi, Rahul Singh, Ness B. Shroff:
Delay-Optimal Scheduling for Integrated mmWave - Sub-6 GHz Systems With Markovian Blockage Model. IEEE Trans. Mob. Comput. 22(9): 5124-5139 (2023) - [c27]Masoud Ghazikor, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Exploring the Interplay of Interference and Queues in Unlicensed Spectrum Bands for UAV Networks. ACSSC 2023: 729-733 - [c26]Amin Shojaeighadikolaei, Morteza Hashemi:
An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control. Allerton 2023: 1-8 - [c25]Sravan Reddy Chintareddy, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems. GLOBECOM 2023: 3064-3069 - [c24]Babak Badnava, Keenan Roach, Kenny Cheung, Morteza Hashemi, Ness B. Shroff:
Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems. GLOBECOM 2023: 3081-3086 - [c23]Zhou Ni, Morteza Hashemi:
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach. VCC 2023: 115-120 - [c22]Arman Ghasemi, Morteza Hashemi:
Harnessing the Power of Transformer Learning with Long-Term Memory for Renewable Energy Forecasting. VCC 2023: 171-176 - [d1]Sravan Reddy Chintareddy, Marco Mezzavilla, Sundeep Rangan, Morteza Hashemi:
Large scale datasets for THz based midhaul link evaluation between CU and DU. IEEE DataPort, 2023
- [i22]Arman Ghasemi, Amin Shojaeighadikolaei, Morteza Hashemi:
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting. CoRR abs/2302.14094 (2023) - [i21]Sravan Reddy Chintareddy, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems. CoRR abs/2308.05036 (2023) - [i20]Masoud Ghazikor, Keenan Roach, Kenny Cheung, Morteza Hashemi:
Exploring the Interplay of Interference and Queues in Unlicensed Spectrum Bands for UAV Networks. CoRR abs/2308.05187 (2023) - [i19]Babak Badnava, Keenan Roach, Kenny Cheung, Morteza Hashemi, Ness B. Shroff:
Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems. CoRR abs/2308.06647 (2023) - [i18]Amin Shojaeighadikolaei, Morteza Hashemi:
An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control. CoRR abs/2308.12921 (2023) - [i17]Zhou Ni, Morteza Hashemi:
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach. CoRR abs/2310.19069 (2023) - 2022
- [j6]Junghoon Kim, Taejoon Kim, Morteza Hashemi, David J. Love, Christopher G. Brinton:
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks. IEEE/ACM Trans. Netw. 30(4): 1454-1468 (2022) - [c21]Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi:
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. ISIT 2022: 736-741 - [i16]Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi:
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. CoRR abs/2207.00532 (2022) - [i15]Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones, Yousif Dafalla, Alexandru G. Bardas, Reza Ahmadi, Morteza Hashemi:
Distributed Energy Management and Demand Response in Smart Grids: A Multi-Agent Deep Reinforcement Learning Framework. CoRR abs/2211.15858 (2022) - 2021
- [c20]Chuan Sun, Morteza Hashemi:
Efficient User Localization in Wireless Networks Using Active Deep Learning. ACSCC 2021: 1602-1606 - [c19]Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi:
On the Benefits of Multi-Hop Communication for Indoor 60 GHz Wireless Networks. CCNC 2021: 1-4 - [c18]Chuan Sun, Navid Naderializadeh, Morteza Hashemi:
Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning. GLOBECOM (Workshops) 2021: 1-6 - [c17]Babak Badnava, Taejoon Kim, Kenny Cheung, Zaheer Ali, Morteza Hashemi:
Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning. SEC 2021: 376-380 - [c16]Sravan Reddy Chintareddy, Marco Mezzavilla, Sundeep Rangan, Morteza Hashemi:
A preliminary assessment of midhaul links at 140 GHz using ray-tracing. mmNets 2021: 25-30 - [c15]Mohammad M. R. Lunar, Jianxin Sun, John Wensowitch, Michael Fay, Halit Bugra Tulay, Venkat Sai Suman Lamba Karanam, Brian Qiu, Deepak Nadig, Garhan Attebury, Hongfeng Yu, Joseph Camp, Can Emre Koksal, Dario Pompili, Byrav Ramamurthy, Morteza Hashemi, Eylem Ekici, Mehmet C. Vuran:
OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds. WiNTECH 2021: 85-92 - [c14]Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi:
Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks. VTC Spring 2021: 1-5 - 2020
- [c13]Luyao Shang, Morteza Hashemi, Taejoon Kim, Erik Perrins:
Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes. GLOBECOM 2020: 1-6 - [c12]Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love:
Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. INFOCOM 2020: 2086-2095 - [c11]Arman Ghasemi, Amin Shojaeighadikolaei, Kailani R. Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi:
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids. SmartGridComm 2020: 1-6 - [i14]Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love:
Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. CoRR abs/2002.11850 (2020) - [i13]Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love:
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks. CoRR abs/2007.12963 (2020) - [i12]Luyao Shang, Morteza Hashemi, Taejoon Kim, Erik Perrins:
Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes. CoRR abs/2008.11265 (2020) - [i11]Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi:
On the Benefits of Multi-hop Communication for Indoor 60 GHz Wireless Networks. CoRR abs/2009.00205 (2020) - [i10]Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones, Alexandru G. Bardas, Morteza Hashemi, Reza Ahmadi:
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning. CoRR abs/2009.10890 (2020) - [i9]Arman Ghasemi, Amin Shojaeighadikolaei, Kailani R. Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi:
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids. CoRR abs/2009.10905 (2020) - [i8]Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi:
Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks. CoRR abs/2011.02053 (2020)
2010 – 2019
- 2019
- [c10]Navid Naderializadeh, Morteza Hashemi:
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. ACSSC 2019: 383-387 - [c9]Guidan Yao, Morteza Hashemi, Ness B. Shroff:
Integrating Sub-6 GHz and Millimeter Wave to Combat Blockage: Delay-Optimal Scheduling. WiOpt 2019: 1-8 - [i7]Guidan Yao, Morteza Hashemi, Ness B. Shroff:
Integrating Sub-6 GHz and Millimeter Wave to Combat Blockage: Delay-Optimal Scheduling. CoRR abs/1901.00963 (2019) - [i6]Navid Naderializadeh, Morteza Hashemi:
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. CoRR abs/1912.10485 (2019) - 2018
- [j5]Morteza Hashemi, C. Emre Koksal, Ness B. Shroff:
Out-of-Band Millimeter Wave Beamforming and Communications to Achieve Low Latency and High Energy Efficiency in 5G Systems. IEEE Trans. Commun. 66(2): 875-888 (2018) - [c8]Morteza Hashemi, Ashutosh Sabharwal, C. Emre Koksal, Ness B. Shroff:
Efficient Beam Alignment in Millimeter Wave Systems Using Contextual Bandits. INFOCOM 2018: 2393-2401 - 2017
- [c7]Morteza Hashemi, C. Emre Koksal, Ness B. Shroff:
Rate-optimal power and bandwidth allocation in an integrated Sub-6 GHz - Millimeter wave architecture. ACSSC 2017: 1207-1211 - [c6]Morteza Hashemi, C. Emre Koksal, Ness B. Shroff:
Hybrid RF-mmWave communications to achieve low latency and high energy efficiency in 5G cellular systems. WiOpt 2017: 1-8 - [i5]Morteza Hashemi, Can Emre Koksal, Ness B. Shroff:
Hybrid RF-mmWave Communications to Achieve Low Latency and High Energy Efficiency in 5G Cellular Systems. CoRR abs/1701.06241 (2017) - [i4]Morteza Hashemi, C. Emre Koksal, Ness B. Shroff:
Energy-Efficient Power and Bandwidth Allocation in an Integrated Sub-6 GHz - Millimeter Wave System. CoRR abs/1710.00980 (2017) - [i3]Morteza Hashemi, Ashutosh Sabharwal, C. Emre Koksal, Ness B. Shroff:
Efficient Beam Alignment in Millimeter Wave Systems Using Contextual Bandits. CoRR abs/1712.00702 (2017) - 2016
- [j4]Wei Si, David Starobinski, Morteza Hashemi, Moshe Laifenfeld, Ari Trachtenberg:
Channel Sensitivity of LIFO-Backpressure: Quirks and Improvements. IEEE Trans. Control. Netw. Syst. 3(2): 192-205 (2016) - [j3]Morteza Hashemi, Yuval Cassuto, Ari Trachtenberg:
Fountain Codes With Nonuniform Selection Distributions Through Feedback. IEEE Trans. Inf. Theory 62(7): 4054-4070 (2016) - 2015
- [j2]Wei Si, Morteza Hashemi, Liangxiao Xin, David Starobinski, Ari Trachtenberg:
TeaCP: A Toolkit for Evaluation and Analysis of Collection Protocols in Wireless Sensor Networks. IEEE Trans. Netw. Serv. Manag. 12(2): 293-307 (2015) - [c5]Morteza Hashemi, Ari Trachtenberg:
CDP: a coded datagram transport protocol bridging UDP and TCP. SYSTOR 2015: 11:1-11:6 - [i2]Morteza Hashemi:
Reducing ADC Sampling Rate with Compressive Sensing. CoRR abs/1503.00311 (2015) - [i1]Morteza Hashemi, Yuval Cassuto, Ari Trachtenberg:
Fountain Codes with Nonuniform Selection Distributions through Feedback. CoRR abs/1504.01802 (2015) - 2014
- [j1]Morteza Hashemi, Wei Si, Moshe Laifenfeld, David Starobinski, Ari Trachtenberg:
Intra-car multihop wireless sensor networking: a case study. IEEE Commun. Mag. 52(12): 183-191 (2014) - [c4]Morteza Hashemi, Ari Trachtenberg:
Near real-time rateless coding with a constrained feedback budget. Allerton 2014: 529-536 - 2013
- [c3]Morteza Hashemi, Ari Trachtenberg, Yuval Cassuto:
Delete-and-Conquer: Rateless coding with constrained feedback. Allerton 2013: 350-357 - [c2]Morteza Hashemi, Wei Si, Moshe Laifenfeld, David Starobinski, Ari Trachtenberg:
Intra-Car Wireless Sensors Data Collection: A Multi-Hop Approach. VTC Spring 2013: 1-5 - 2011
- [c1]Hamidreza Aghasi, Morteza Hashemi, Babak Hossein Khalaj:
Source localization through adaptive signal attenuation model and time delay estimation. ICT 2011: 151-156
Coauthor Index
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