5 papers
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…
Outlier-Resistant Fusion for Multi-static Positioning using 5G NR Signals
Maximiliano Rivera Figueroa, Jannis Held, Pradyumna Kumar Bishoyi +1
Indoor positioning faces ongoing challenges due to complex propagation conditions, such as multipath propagation, signal blockages, and intrinsic target characteristics that substa…
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…
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…
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…