15 citations · 15 across the 2 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
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…