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From the 1 of 51 linked papers with an AI index.

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20242026
most citedEnergy-Efficient Federated Learning with Relay-Assisted Aggregation in IIoT Networks

1 citations · 1 across the 22 of their papers we have counts for

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eess.SP2026

Hybrid STAR-RIS Architecture for Joint Localization, Communication, and Power Transfer

Haoran Ni, Mohammadali Mohammadi, Xidong Mu +2

We propose a hybrid simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) architecture with dynamically switched active and passive elements to s…

eess.SP2026

Deep-Unfolded Accelerated Projected Gradient for Energy-Efficient Cell-Free Massive MIMO

Phuong Nam Tran, Nhan Thanh Nguyen, Hien Quoc Ngo +1

This paper investigates energy efficiency (EE) maximization for the downlink of cell-free massive multiple-input multiple-output systems under quality-of-service and per-access poi…

eess.SP2026

Power-Efficient XL-MIMO Design for Mixed Near- and Far-Field SWIPT Systems

Muhammad Zeeshan Mumtaz, Mohammadali Mohammadi, Hien Quoc Ngo +2

The paper proposes a power‑efficient design for extra‑large MIMO systems that serve simultaneous wireless information and power transfer (SWIPT) users in both near‑field and far‑fi…

eess.SP2026

Massive MIMO-OFDM ISAC for Sparse ISAR Imaging: Joint Power and Subcarrier Allocation

Hamid Reza Hashempour, Yanjiao Li, Jie Zhang +2

This paper investigates a massive multiple-input multiple-output (mMIMO) orthogonal frequency-division multiplexing (OFDM) framework for integrated sensing and communication (ISAC)…

eess.SP2026

ML-Assisted Bulk Resource Allocation: Custom Outage-Based Loss Function and Reliability Analysis

Amir Masoud Molaei, Nidhi Simmons, David E. Simmons +2

Machine learning (ML)-assisted outage-based resource allocation has recently emerged as an effective alternative to conventional scheduling methods in reliability-critical wireless…

eess.SP20261 cited

Energy-Efficient Federated Learning with Relay-Assisted Aggregation in IIoT Networks

Hamid Reza Hashempour, Mostafa Nozari, Gilberto Berardinelli +4

This paper presents an energy-efficient transmission framework for federated learning (FL) in industrial Internet of Things (IIoT) environments with strict latency and energy const…