Brian Krongold

End-to-End Deep Learning-Based Compressive Spectrum Sensing in Cognitive Radio Networks

X Meng, H Inaltekin, B Krongold

Conference Proceedings  |  2020  |  ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

In cognitive radio networks, compressive sensing has the potential to allow a secondary user to efficiently monitor a wideband spe..

Optimal Power Allocation for DAS-OFDM under Joint Total and Individual Power Constraints

Bing Luo, Phee Lep Yeoh, Brian S Krongold

Conference Proceedings  |  2020  |  Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM)

We derive new optimal power allocation solutions for a distributed antenna system with orthogonal frequency division multiplexing ..

Optimal Frequency-Selective Energy Beamforming with Joint Total and Individual Power Constraints

Bing Luo, Phee Lep Yeoh, Robert Schober, Brian S Krongold

Conference Proceedings  |  2020  |  Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM)

This paper analyzes the optimal energy beamforming solution for a multiple-input single-output wireless power transfer (WPT) syste..

Deep reinforcement learning-based topology optimization for self-organized wireless sensor networks

X Meng, H Inaltekin, B Krongold

Conference Proceedings  |  2020  |  Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM)

Wireless sensor networks (WSNs) are the foundation of the Internet of Things (IoT), and in the era of the fifth generation of wire..

Optimal Co-Phasing Power Allocation and Capacity of Coordinated OFDM Transmission With Total and Individual Power Constraints

Bing Luo, Phee Lep Yeoh, Brian S Krongold

Journal article  |  2019  |  IEEE Transactions on Communications

This paper derives the optimal power allocation for a coordinated orthogonal frequency-division multiplexing (OFDM) transmission s..

Relay-Energy Access Points for Internet-of-Things Wireless Energy Harvesting and Communications

J George, PL Yeoh, BS Krongold

Conference Proceedings  |  2019  |  Proceedings of ICC 2019

We propose relay-energy access points (REAPs) as a novel Internet-of-Things (IoT) network architecture that supports wireless ener..

Coverage Modelling and Handover Analysis in Ultra-Dense Heterogeneous Networks

H Gu, H Inaltekin, BS Krongold

Conference Proceedings  |  2019  |  ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

Despite promising capacity gains, small cell densifications in ultra-dense HetNets can lead to frequent handovers (HOs), which may..

Optimal Energy Beamforming for Distributed Wireless Power Transfer over Frequency-Selective Channels

B Luo, PL Yeoh, R Schober, BS Krongold

Conference Proceedings  |  2019  |  ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

This paper analyzes the optimal transmission strategy and power allocation for a distributed wireless power transfer (WPT) system ..

Joint Backhaul-Access Optimization in Full-Duplex Heterogeneous Networks

Xiangyue Meng, Phee Lep Yeoh, Brian Krongold

Conference Proceedings  |  2018  |  2018 IEEE GLOBECOM WORKSHOPS (GC WKSHPS)

In this paper, a joint downlink backhaul-access power and subchannel allocation problem is studied for a two-tier heterogeneous ne..

Deep Reinforcement Learning-Based Power Control in Full-Duplex Cognitive Radio Networks

Xiangyue Meng, Hazer Inaltekin, Brian Krongold

Conference Proceedings  |  2018  |  2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

This paper considers the use of full-duplex technology in cognitive radio networks to allow secondary users to sense the presence ..