1 citations · 1 across the 9 of their papers we have counts for
11 papers
Seeing Through Sparse Signals: CS-Enhanced Sensing With QoS Guarantees for 6G ISAC
Yifei Wang, Pradyumna Kumar Bishoyi, Marina Petrova
In integrated sensing and communication (ISAC) systems, communication and sensing share time-frequency resources, creating a fundamental trade-off between communication quality of…
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…
Dynamic Interference Management for TN-NTN Coexistence in the Upper Mid-Band
Pradyumna Kumar Bishoyi, Chia Chia Lee, Navid Keshtiarast +1
The coexistence of terrestrial networks (TN) and non-terrestrial networks (NTN) in the frequency range 3 (FR3) upper mid-band presents considerable interference concerns, as dense…
Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks
Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4
Distributed edge learning (DL) is considered a cornerstone of intelligence enablers, since it allows for collaborative training without the necessity for local clients to share raw…
Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks
Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4
Distributed learning (DL) is considered a cornerstone of intelligence enabler, since it allows for collaborative training without the necessity for local clients to share raw data…
When Next-Gen Sensing Meets Legacy Wi-Fi: Performance Analyses of IEEE 802.11bf and IEEE 802.11ax Coexistence
Navid Keshtiarast, Pradyumna Kumar Bishoyi, Ido Manuel Lumbantobing +1
Sensing is emerging as a vital future service in next-generation wireless networks, enabling applications such as object localization and activity recognition. The IEEE 802.11bf st…
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…
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…
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…