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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 2015 · cs.ITShow all

9 papers · 2 filters

cs.IT2015★ 1 cited

Asymptotic Scaling Laws of Wireless Adhoc Network with Physical Layer Caching

An Liu, Vincent Lau

We propose a physical layer (PHY) caching scheme for wireless adhoc networks. The PHY caching exploits cache-assisted multihop gain and cache-induced dual-layer CoMP gain, which su…

cs.IT2015★ 87 cited

Compressive Sensing with Prior Support Quality Information and Application to Massive MIMO Channel Estimation with Temporal Correlation

Xiongbin Rao, Vincent K. N. Lau

In this paper, we consider the problem of compressive sensing (CS) recovery with a prior support and the prior support quality information available. Different from classical works…

cs.IT2015★ 47 cited

Dynamic Power Control for Delay-Aware Device-to-Device Communications

Wei Wang, Fan Zhang, Vincent K. N. Lau

In this paper, we consider the dynamic power control for delay-aware D2D communications. The stochastic optimization problem is formulated as an infinite horizon average cost Marko…

cs.IT2015★ 12 cited

Optimal Hierarchical Radio Resource Management for HetNets with Flexible Backhaul

Naeimeh Omidvar, An Liu, Vincent Lau +3

Providing backhaul connectivity for macro and pico base stations (BSs) constitutes a significant share of infrastructure costs in future heterogeneous networks (HetNets). To addres…

cs.IT2015★ 15 cited

Generalized Interference Alignment --- Part II: Application to Wireless Secrecy

Liangzhong Ruan, Vincent K. N. Lau, Moe Z. Win

In contrast to its wired counterpart, wireless communication is highly susceptible to eavesdropping due to the broadcast nature of the wireless propagation medium. Recent works hav…

cs.IT2015★ 11 cited

Generalized Interference Alignment --- Part I: Theoretical Framework

Liangzhong Ruan, Vincent K. N. Lau, Moe Z. Win

Interference alignment (IA) has attracted enormous research interest as it achieves optimal capacity scaling with respect to signal to noise ratio on interference networks. IA has…