981 citations · 1.1k across the 9 of their papers we have counts for
9 papers
Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning
Chang Tian, An Liu, Guang Huang +1
We propose a successive convex approximation based off-policy optimization (SCAOPO) algorithm to solve the general constrained reinforcement learning problem, which is formulated a…
Randomized Channel Sparsifying Hybrid Precoding for FDD Massive MIMO Systems
Chang Tian, An Liu, Mahdi Barzegar Khalilsarai +3
We propose a novel randomized channel sparsifying hybrid precoding (RCSHP) design to reduce the signaling overhead of channel estimation and the hardware cost and power consumption…
Towards Dual-functional Radar-Communication Systems: Optimal Waveform Design
Fan Liu, Longfei Zhou, Christos Masouros +3
We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single transmitter communicates with downlink cellular users and detects…
Coordinated Multicell Multicast Beamforming Based on Manifold Optimization
L. Zhou, L. Zheng, X. Wang +2
Multicast beamforming is a key technology for next-generation wireless cellular networks to support high-rate content distribution services. In this paper, the coordinated downlink…
Joint Multicast Beamforming and User Scheduling in Large-scale Antenna Systems
L. Zhou, Z. Xu, W. Jiang +1
This paper studies the joint multicast beamforming and user scheduling problem, with the objective of minimizing total transmitting power across multiple channels by jointly assign…
Energy Efficient Downlink Transmission for Multi-cell Massive DAS with Pilot Contamination
Jun Zuo, Jun Zhang, Chau Yuen +2
In this paper, we study the energy efficiency (EE) of a downlink multi-cell massive distributed antenna system (DAS) in the presence of pilot contamination (PC), where the antennas…
MIMO B-MAC Interference Network Optimization under Rate Constraints by Polite Water-filling and Duality
An Liu, Youjian, Liu +2
We take two new approaches to design efficient algorithms for transmitter optimization under rate constraints, to guarantee the Quality of Service in general MIMO interference netw…
Technical Report: MIMO B-MAC Interference Network Optimization under Rate Constraints by Polite Water-filling and Duality
An Liu, Youjian, Liu +2
We take two new approaches to design efficient algorithms for transmitter optimization under rate constraints to guarantee the Quality of Service in general MIMO interference netwo…
Duality, Polite Water-filling, and Optimization for MIMO B-MAC Interference Networks and iTree Networks
An Liu, Youjian, Liu +2
This paper gives the long sought network version of water-filling named as polite water-filling. Unlike in single-user MIMO channels, where no one uses general purpose optimization…