53 citations · 160 across the 21 of their papers we have counts for
21 papers
Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection
Hang Liu, Xiaojun Yuan, Ying Jun +1
In this paper, we study the beamforming design problem in frequency-division duplexing (FDD) downlink massive MIMO systems, where instantaneous channel state information (CSI) is a…
Offloading and Resource Allocation with General Task Graph in Mobile Edge Computing: A Deep Reinforcement Learning Approach
Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang
In this paper, we consider a mobile-edge computing system, where an access point assists a mobile device (MD) to execute an application consisting of multiple tasks following a gen…
Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities
Xiaojun Yuan, Ying-Jun Angela Zhang, Yuanming Shi +2
Reconfigurable intelligent surfaces (RISs) are regarded as a promising emerging hardware technology to improve the spectrum and energy efficiency of wireless networks by artificial…
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with One-Dimensional Antenna Array
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
In this paper, we study blind channel-and-signal estimation by exploiting the burst-sparse structure of angular-domain propagation channels in massive MIMO systems. The state-of-th…
Load Balancing for 5G Ultra-Dense Networks using Device-to-Device Communications
Hongliang Zhang, Lingyang Song, Ying Jun +1
Load balancing is an effective approach to address the spatial-temporal fluctuation problem of mobile data traffic for cellular networks. The existing schemes that focus on channel…
Device-to-Device Load Balancing for Cellular Networks
Lei Deng, Yinghui He, Ying Zhang +5
Small-cell architecture is widely adopted by cellular network operators to increase network capacity. By reducing the size of cells, operators can pack more (low-power) base statio…