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20232026
most citedML Framework for Wireless MAC Protocol Design

6 citations · 10 across the 11 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

SARAMS: Split-Aware Joint Resource Allocation for Multi-Monostatic Sensing

Maximiliano Rivera Figueroa, Pradyumna Kumar Bishoyi, Marina Petrova

Cooperative multi-monostatic sensing enables sub-meter passive localization in integrated sensing and communication~(ISAC) networks by fusing base station~(BS) observations at a ce…

eess.SP2024

Optimal Weight Scheme for Fusion-Assisted Cooperative Multi-Monostatic Object Localization in 6G Networks

Maximiliano Rivera Figueroa, Pradyumna Kumar Bishoyi, Marina Petrova

Cooperative multi-monostatic sensing enables accurate positioning of passive targets by combining the sensed environment of multiple base stations (BS). In this work, we propose a…

eess.SP2024

Empowering 5G PRS-Based ISAC with Compressed Sensing

Esen Ozbay, Pradyumna Kumar Bishoyi, Marina Petrova

To enable widespread use of Integrated Sensing and Communication (ISAC) in future communication systems, an important requirement is the ease of integration. A possible way to achi…

eess.SP2024

Power Allocation Scheme for Device-Free Localization in 6G ISAC Networks

Maximiliano Rivera Figueroa, Pradyumna Kumar Bishoyi, Marina Petrova

Integrated Sensing and Communication (ISAC) is considered one of the crucial technologies in the upcoming sixth-generation (6G) mobile communication systems that could facilitate u…

eess.SP2023

Cooperative Multi-Monostatic Sensing for Object Localization in 6G Networks

Maximiliano Rivera Figueroa, Pradyumna Kumar Bishoyi, Marina Petrova

Enabling passive sensing of the environment using cellular base stations (BSs) will be one of the disruptive features of the sixth-generation (6G) networks. However, accurate local…