activity
20162020
most citedHybrid Beamforming for Massive MIMO - A Survey

21 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2020★ 1 cited

Hybrid Beamforming Structure for Massive MIMO System: Full-connection v.s. Partial-connection

Zheda Li, Shengqian Han, Andreas F. Molisch

In this article we compare the performance of two typical hyrbid beamforming structures for multiuser massive MIMO systems, i.e., the full- and partial-connection structures. Under…

cs.IT2019

Enable Super-resolution Parameter Estimation for Mm-wave Channel Sounding

Rui Wang, C. Umit Bas, Zihang Cheng +14

This paper investigates the capability of millimeter-wave (mmWave) channel sounders with phased arrays to perform super-resolution parameter estimation, i.e., determine the paramet…

cs.IT2018

Efficient C-RAN Random Access for IoT Devices: Learning Links via Recommendation Systems

Ozgun Y. Bursalioglu, Zheda Li, Chenwei Wang +1

We focus on C-RAN random access protocols for IoT devices that yield low-latency high-rate active-device detection in dense networks of large-array remote radio heads. In this cont…

cs.IT2016

Directional Training and Fast Sector-based Processing Schemes for mmWave Channels

Zheda Li, Nadisanka Rupasinghe, Ozgun Y. Bursalioglu +3

We consider a single-cell scenario involving a single base station (BS) with a massive array serving multi-antenna terminals in the downlink of a mmWave channel. We present a class…

cs.IT2016★ 21 cited

Hybrid Beamforming for Massive MIMO - A Survey

Andreas F. Molisch, Vishnu V. Ratnam, Shengqian Han +4

Hybrid multiple-antenna transceivers, which combine large-dimensional analog pre/postprocessing with lower-dimensional digital processing, are the most promising approach for reduc…