activity
20142018
most citedFundamental Limits of Training-Based Multiuser MIMO Systems

8 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2018★ 2 cited

CNN-Based Signal Detection for Banded Linear Systems

Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang

Banded linear systems arise in many communication scenarios, e.g., those involving inter-carrier interference and inter-symbol interference. Motivated by recent advances in deep le…

cs.IT2018★ 1 cited

Machine Learning for Heterogeneous Ultra-Dense Networks with Graphical Representations

Congmin Fan, Ying-Jun Angela Zhang, Xiaojun Yuan

Heterogeneous ultra-dense network (H-UDN) is envisioned as a promising solution to sustain the explosive mobile traffic demand through network densification. By placing access poin…

cs.IT2015★ 1 cited

Scalable Uplink Signal Detection in C-RANs via Randomized Gaussian Message Passing

Congmin Fan, Xiaojun Yuan, Ying Jun Zhang

Cloud Radio Access Network (C-RAN) is a promising architecture for unprecedented capacity enhancement in next-generation wireless networks thanks to the centralization and virtuali…

cs.IT2015★ 8 cited

Fundamental Limits of Training-Based Multiuser MIMO Systems

Xiaojun Yuan, Congmin Fan, Ying Jun Zhang

In this paper, we endeavour to seek a fundamental understanding of the potentials and limitations of training-based multiuser multiple-input multiple-output (MIMO) systems. In a mu…

cs.IT2014★ 2 cited

Dynamic Nested Clustering for Parallel PHY-Layer Processing in Cloud-RANs

Congmin Fan, Ying Jun Zhang, Xiaojun Yuan

Featured by centralized processing and cloud based infrastructure, Cloud Radio Access Network (C-RAN) is a promising solution to achieve an unprecedented system capacity in future…