activity
20112023
most citedAn Uplink Interference Analysis for Massive MIMO Systems with MRC and ZF Receivers

19 citations · 79 across the 13 of their papers we have counts for

collaborators

13 papers

cs.IT2023★ 3 cited

Digital Over-the-Air Federated Learning in Multi-Antenna Systems

Sihua Wang, Mingzhe Chen, Cong Shen +2

In this paper, the performance optimization of federated learning (FL), when deployed over a realistic wireless multiple-input multiple-output (MIMO) communication system with digi…

eess.SP2018★ 19 cited

Towards Optimal Power Control via Ensembling Deep Neural Networks

Fei Liang, Cong Shen, Wei Yu +1

A deep neural network (DNN) based power control method is proposed, which aims at solving the non-convex optimization problem of maximizing the sum rate of a multi-user interferenc…

cs.NI2018★ 1 cited

Cost-Aware Learning and Optimization for Opportunistic Spectrum Access

Chao Gan, Ruida Zhou, Jing Yang +1

In this paper, we investigate cost-aware joint learning and optimization for multi-channel opportunistic spectrum access in a cognitive radio system. We investigate a discrete time…

eess.SP2018

How to interconnect for Massive MIMO Self-Calibration?

Fuqian Yang, Hanyu Zhu, Cong Shen +2

In time-division duplexing (TDD) systems, massive multiple-input multiple-output (MIMO) relies on the channel reciprocity to obtain the downlink (DL) channel state information (CSI…

cs.LG2018★ 2 cited

Regional Multi-Armed Bandits

Zhiyang Wang, Ruida Zhou, Cong Shen

We consider a variant of the classic multi-armed bandit problem where the expected reward of each arm is a function of an unknown parameter. The arms are divided into different gro…

cs.IT2018

New Results on Multilevel Diversity Coding with Secure Regeneration

Shuo Shao, Tie Liu, Chao Tian +1

The problem of multilevel diversity coding with secure regeneration is revisited. Under the assumption that the eavesdropper can access the repair data for all compromised storage…

cs.IT2017★ 3 cited

Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point

Shuo Shao, Tie Liu, Chao Tian +1

The problem of multilevel diversity coding with secure regeneration (MDC-SR) is considered, which includes the problems of multilevel diversity coding with regeneration (MDC-R) and…

cs.NI2017★ 15 cited

Small Cell Transmit Power Assignment Based on Correlated Bandit Learning

Zhiyang Wang, Cong Shen

Judiciously setting the base station transmit power that matches its deployment environment is a key problem in ultra dense networks and heterogeneous in-building cellular deployme…

cs.IT2017

On the Tradeoff Region of Secure Exact-Repair Regenerating Codes

Shuo Shao, Tie Liu, Chao Tian +1

We consider the secure exact-repair regenerating code problem, which generalizes the exact-repair regenerating code problem with the additional constraint…

cs.IT2016★ 15 cited

A Scalable Framework for CSI Feedback in FDD Massive MIMO via DL Path Aligning

Xiliang Luo, Penghao Cai, Xiaoyu Zhang +2

Unlike the time-division duplexing (TDD) systems, the downlink (DL) and uplink (UL) channels are not reciprocal anymore in the case of frequency-division duplexing (FDD). However,…

cs.IT2016

On Layered Erasure Interference Channels without CSI at Transmitters

Yan Zhu

This paper studies a layered erasure model for two-user interference channels, which can be viewed as a simplified version of Gaussian fading interference channel. It is assumed th…

cs.IT2014★ 19 cited

An Uplink Interference Analysis for Massive MIMO Systems with MRC and ZF Receivers

Ning Liang, Wenyi zhang, Cong Shen

This paper considers an uplink cellular system, in which each base station (BS) is equipped with a large number of antennas to serve multiple single-antenna user equipments (UEs) s…

cs.IT2011★ 2 cited

A Low-Delay Low-Complexity EKF Design for Joint Channel and CFO Estimation in Multi-User Cognitive Communications

Pengkai Zhao, Cong Shen

Parameter estimation in cognitive communications can be formulated as a multi-user estimation problem, which is solvable under maximum likelihood solution but involves high computa…