collaborators

16 papers

eess.SP2026

Degeneracy-Aware Resource Allocation for Resilient 6G RAN

Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti

Heterogeneous 6G radio access networks (RANs) must allocate resources reliably under interference, latency limits, imperfect channel state information (CSI), and architectural dive…

eess.SP2026

Macro--Micro Decision-Making in 6G Networks: An Agent-Based Framework for the Resource-Fungibility Landscape Resource-Fungibility Landscape

Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti

A defining feature of 6G networks is that performance depends not only on the quantity of available resources (e.g., spectrum, antennas, cache memory, compute, and fronthaul bandwi…

eess.SP2026

Degeneracy-Aware Resilient Resource Allocation in Cell-Free Cache-Aided MU-MIMO Networks

Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti

Cell-free cache-aided multi-user multiple-input-multiple-output (MIMO) (CF-CA-MU-MIMO) networks improve spectral efficiency through coded multicast delivery and distributed spatial…

eess.SP2026

Optimal Illumination via Joint Movement and Phase Optimization for Movable Antenna-RIS Configuration

Yan Zhang, Nicola Marchetti, Indrakshi Dey

Reconfigurable intelligent surfaces (RIS) enable programmable control of wireless propagation but remain vulnerable to persistent deep fades in static deployments. This paper intro…

eess.SP2026

UAV-based Energy-Efficient Data Collection in Smart Grids with ISAC QoS Guarantees

Yibin Xie, Jin Zhao, Indrakshi Dey +1

Dynamic line rating (DLR) is a methodology that requires timely monitoring data to determine the real-time ampacity of power lines. However, DLR monitoring devices (MD) are vulnera…

eess.SP2026

Degeneracy-Aware Agent-Based Resource Allocation for Multi-User MIMO RSMA Network

Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti

This paper proposes a pilot-aware, degeneracy-driven Agent-Based Modelling (ABM) framework for distributed resource allocation in RSMA-enabled multi-user MIMO systems under imperfe…