Mrugen Deshmukh

Works (4)

Updated: November 5th, 2024 05:02

2024 article

Enhanced Index-Based Feedback Overhead Reduction for WLANs

2024 IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING FOR COMMUNICATION AND NETWORKING, ICMLCN 2024, pp. 293–298.

By: M. Deshmukh n, Z. Lin *, H. Lou*, M. Kamel*, R. Yang * & I. Guvenc n 

author keywords: Beamforming feedback; CSI; Machine learning; MIMO; WLAN
Sources: Web Of Science, NC State University Libraries
Added: November 4, 2024

2022 article

Intelligent Feedback Overhead Reduction (iFOR) in Wi-Fi 7 and Beyond

2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING).

By: M. Deshmukh*, Z. Lin *, H. Lou*, M. Kamel, R. Yang * & I. Guvenc n 

author keywords: Beamforming; CSI Overhead Reduction; K-means; MIMO; Unsupervised Learning; WLAN
TL;DR: This paper develops an unsupervised learning-based method to reduce the sounding duration in a Wi-Fi MIMO link and it can boost the system throughput by up to 52%. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: October 31, 2022

2021 journal article

Interference Analysis and Mitigation for Aerial IoT Considering 3D Antenna Patterns

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 70(1), 490–503.

By: S. Maeng n, M. Deshmukh n, I. Guvenc n , A. Bhuyan * & H. Dai n 

author keywords: Three-dimensional displays; Antenna radiation patterns; Interference; Dipole antennas; Transmitters; Topology; Receiving antennas; 5G; 3D topology; antenna radiation pattern; IoT; UAV; uncoordinated network
TL;DR: This paper proposes a low-complexity interference mitigation scheme that utilizes 3D antenna radiation pattern with different dipole antenna settings, and shows that using the proposed scheme, the ergodic achievable rate improves as the height of the aerial receivers increases. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 18, 2021

2021 journal article

RL-Based Waveform Adaptation With Partial Overlapping Tones in HetNets

IEEE COMMUNICATIONS LETTERS, 25(9), 3129–3133.

By: M. Deshmukh n, A. Sahin * & I. Guvenc n 

author keywords: Interference; Shape; Signal to noise ratio; Resource management; Indexes; Heuristic algorithms; Base stations; HetNets; partial overlapping; Q-learning
TL;DR: This letter proposes a multi-agent Q-learning-based approach to obtain transmit power and intentional FOs assigned to SCs for filtered multi-tones with various pulse shapes and shows that the proposed method reduces the total interference and in turn, increases the throughput in the network. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 20, 2021

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