activity
20092026
most citedEdge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

654 citations · 1.9k across the 149 of their papers we have counts for

collaborators
Showing 2022 · eess.SPShow all

17 papers · 2 filters

eess.SP2022

Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks

Yinan Zou, Yong Zhou, Xu Chen +1

Grant-free random access is an effective technology for enabling low-overhead and low-latency massive access, where joint activity detection and channel estimation (JADCE) is a cri…

eess.SP2022★ 4 cited

Robust Task-Specific Beamforming with Low-Resolution ADCs for Power-Efficient Hybrid MIMO Receivers

Eyyup Tasci, Timur Zirtiloglu, Alperen Yasar +3

Multiple-input multiple-output (MIMO) systems exploit spatial diversity to facilitate multi-user communications with high spectral efficiency by beamforming. As MIMO systems utiliz…

eess.SP2022★ 11 cited

Integrated Sensing and Communications with Reconfigurable Intelligent Surfaces

Sundeep Prabhakar Chepuri, Nir Shlezinger, Fan Liu +3

Integrated sensing and communications (ISAC) are envisioned to be an integral part of future wireless networks, especially when operating at the millimeter-wave (mmWave) and terahe…

eess.SP2022

Near-field Localization with Dynamic Metasurface Antennas

Qianyu Yang, Anna Guerra, Francesco Guidi +5

Sixth generation (6G) cellular communications are expected to support enhanced wireless localization capabilities. The widespread deployment of large arrays and high-frequency band…

eess.SP2022

Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas

Wei Huang, Haiyang Zhang, Nir Shlezinger +1

Dynamic metasurface antennas (DMAs) provide a new paradigm to realize large-scale antenna arrays for future wireless systems. In this paper, we study the downlink millimeter wave (…

eess.SP2022★ 1 cited

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM

Geon Choi, Jeonghun Park, Nir Shlezinger +2

Simultaneous localization and mapping (SLAM) is a method that constructs a map of an unknown environment and localizes the position of a moving agent on the map simultaneously. Ext…