activity
20102022
most citedDeep-Learning-based Millimeter-Wave Massive MIMO for Hybrid Precoding

449 citations · 567 across the 30 of their papers we have counts for

collaborators
Showing cs.ITShow all

19 papers · 1 filter

cs.IT2022

Attention Mechanism Based Intelligent Channel Feedback for mmWave Massive MIMO Systems

Yibin Zhang, Jinlong Sun, Guan Gui +4

The potential advantages of intelligent wireless communications with millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability of ins…

cs.IT2019★ 2 cited

Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems

Yiwei Sun, Zhen Gao, Hua Wang +4

Hybrid analog-digital precoding is challenging for broadband millimeter-wave (mmWave) massive MIMO systems, since the analog precoder is frequency-flat but the mmWave channels are…

cs.IT2016★ 4 cited

Online Ski Rental for ON/OFF Scheduling of Energy Harvesting Base Stations

Gilsoo Lee, Walid Saad, Mehdi Bennis +2

The co-existence of small cell base stations (SBSs) with conventional macrocell base station is a promising approach to boost the capacity and coverage of cellular networks. Howeve…

cs.IT2015★ 1 cited

Structured Matching Pursuit for Reconstruction of Dynamic Sparse Channels

Xudong Zhu, Linglong Dai, Guan Gui +3

In this paper, by exploiting the special features of temporal correlations of dynamic sparse channels that path delays change slowly over time but path gains evolve faster, we prop…

cs.IT2015

The Application of MIMO to Non-Orthogonal Multiple Access

Zhiguo Ding, Fumiyuki Adachi, H. Vincent Poor

This paper considers the application of multiple-input multiple-output (MIMO) techniques to non-orthogonal multiple access (NOMA) systems. A new design of precoding and detection m…

cs.IT2014★ 1 cited

Adaptive MIMO Channel Estimation using Sparse Variable Step-Size NLMS Algorithms

Guan Gui, Li Xu, Lin Shan +1

To estimate multiple-input multiple-output (MIMO) channels, invariable step-size normalized least mean square (ISSNLMS) algorithm was applied to adaptive channel estimation (ACE).…