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20062023
most citedDistributed Compressive CSIT Estimation and Feedback for FDD Multi-user Massive MIMO Systems

722 citations · 4.3k across the 116 of their papers we have counts for

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Showing 2014 · cs.ITShow all

6 papers · 2 filters

cs.IT2014★ 60 cited

Distributed Fronthaul Compression and Joint Signal Recovery in Cloud-RAN

Xiongbin Rao, Vincent K. N. Lau

The cloud radio access network (C-RAN) is a promising network architecture for future mobile communications, and one practical hurdle for its large scale implementation is the stri…

cs.IT2014★ 1 cited

Communication Using a Large-Scale Array of Ubiquitous Antennas: A Geometry Approach

Kaibin Huang, Jiayi Chen, Vincent K. N. Lau

The recent trends of densification and centralized signal processing in radio access networks suggest that future networks may comprise ubiquitous antennas coordinated to form a ne…

cs.IT2014★ 30 cited

Closed-Form Delay-Optimal Power Control for Energy Harvesting Wireless System with Finite Energy Storage

Fan Zhang, Vincent K. N. Lau

In this paper, we consider delay-optimal power control for an energy harvesting wireless system with finite energy storage. The wireless system is powered solely by a renewable ene…

cs.IT2014★ 141 cited

Two-Tier Precoding for FDD Multi-cell Massive MIMO Time-Varying Interference Networks (Full Version)

Junting Chen, Vincent K. N. Lau

Massive MIMO is a promising technology in future wireless communication networks. However, it raises a lot of implementation challenges, for example, the huge pilot symbols and fee…

cs.IT2014★ 722 cited

Distributed Compressive CSIT Estimation and Feedback for FDD Multi-user Massive MIMO Systems

Xiongbin Rao, Vincent K. N. Lau

To fully utilize the spatial multiplexing gains or array gains of massive MIMO, the channel state information must be obtained at the transmitter side (CSIT). However, conventional…

cs.IT2014★ 25 cited

Interference Alignment with Partial CSI Feedback in MIMO Cellular Networks

Xiongbin Rao, Vincent K. N. Lau

Interference alignment (IA) is a linear precoding strategy that can achieve optimal capacity scaling at high SNR in interference networks. However, most existing IA designs require…