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20142026
most citedSpatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

528 citations · 3.2k across the 54 of their papers we have counts for

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Showing 2015Show all

19 papers · 1 filter

cs.IT2015★ 82 cited

Joint Channel Training and Feedback for FDD Massive MIMO Systems

Wenqian Shen, Linglong Dai, Yi Shi +2

Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance ga…

cs.IT2015★ 95 cited

Joint CSIT Acquisition Based on Low-Rank Matrix Completion for FDD Massive MIMO Systems

Wenqian Shen, Linglong Dai, Byonghyo Shim +2

Channel state information at the transmitter (CSIT) is essential for frequency-division duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming overhe…

cs.IT2015★ 234 cited

Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO

Zhen Gao, Linglong Dai, Wei Dai +2

Massive MIMO is a promising technique for future 5G communications due to its high spectrum and energy efficiency. To realize its potential performance gain, accurate channel estim…

cs.IT2015★ 268 cited

On the Spectral Efficiency of Massive MIMO Systems with Low-Resolution ADCs

Jiayi Zhang, Linglong Dai, Shengyang Sun +1

The low-resolution analog-to-digital convertor (ADC) is a promising solution to significantly reduce the power consumption of radio frequency circuits in massive multiple-input mul…

cs.IT2015

Structured Compressive Sensing Based Superimposed Pilot Design in Downlink Large-Scale MIMO Systems

Zhen Gao, Linglong Dai, Zhaocheng Wang

Large-scale multiple-input multiple-output (MIMO) with high spectrum and energy efficiency is a very promising key technology for future 5G wireless communications. For large-scale…

cs.IT2015★ 56 cited

Priori-Information Aided Iterative Hard Threshold: A Low-Complexity High-Accuracy Compressive Sensing Based Channel Estimation for TDS-OFDM

Zhen Gao, Chao Zhang, Zhaocheng Wang +1

This paper develops a low-complexity channel estimation (CE) scheme based on compressive sensing (CS) for time-domain synchronous (TDS) orthogonal frequency-division multiplexing (…

cs.IT2015★ 48 cited

Robust Preamble Design for Synchronization, Signaling Transmission and Channel Estimation

Zhen Gao, Chao Zhang, Zhaocheng Wang

The European second generation digital video broadcasting standard (DVB-T2) introduces a P1 symbol. This P1 symbol facilitates the coarse synchronization and carries 7-bit transmis…

cs.IT2015★ 45 cited

Compressive Sensing Based Multi-User Detector for the Large-Scale SM-MIMO Uplink

Zhen Gao, Linglong Dai, Zhaocheng Wang +2

Conventional spatial modulation (SM) is typically considered for transmission in the downlink of small-scale MIMO systems, where a single one of a set of antenna elements (AEs) is…

cs.IT2015★ 457 cited

MmWave Massive MIMO Based Wireless Backhaul for 5G Ultra-Dense Network

Zhen Gao, Linglong Dai, De Mi +3

Ultra-dense network (UDN) has been considered as a promising candidate for future 5G network to meet the explosive data demand. To realize UDN, a reliable, Gigahertz bandwidth, and…

cs.IT2015★ 51 cited

Asymptotic Orthogonality Analysis of Time-Domain Sparse Massive MIMO Channels

Zhen Gao, Linglong Dai, Chau Yuen +1

The theoretical analysis of downlink massive MIMO usually assumes the ideal Gaussian channel matrix with asymp- totic orthogonality of channel vectors associated with different use…

cs.IT2015★ 85 cited

Super-Resolution Sparse MIMO-OFDM Channel Estimation Based on Spatial and Temporal Correlations

Zhen Gao, Linglong Dai, Zhaohua Lu +2

This letter proposes a parametric sparse multiple input multiple output (MIMO)-OFDM channel estimation scheme based on the finite rate of innovation (FRI) theory, whereby super-res…

cs.IT2015★ 25 cited

Tracking A Dynamic Sparse Channel Via Differential Orthogonal Matching Pursuit

Xudong Zhu, Linglong Dai, Wei Dai +2

This paper considers the problem of tracking a dynamic sparse channel in a broadband wireless communication system. A probabilistic signal model is firstly proposed to describe the…

cs.IT2015

Effective capacity of communication systems over - shadowed fading channels

Jiayi Zhang, Linglong Dai, Wolfgang H. Gerstacker +1

The effective capacity of communication systems over generalized - shadowed fading channels is investigated in this letter. A novel and analytical expression for the exact ef…

cs.IT2015★ 3 cited

Compressive sensing based differential channel feedback for massive MIMO

Wenqian Shen, Linglong Dai, Yi Shi +2

Massive multiple-input multiple-output (MIMO) is becoming a key technology for future 5G wireless communications. Channel feedback for massive MIMO is challenging due to the substa…

cs.IT2015★ 124 cited

Unified Performance Analysis of Mixed Radio Frequency/Free-Space Optical Dual-Hop Transmission Systems

Jiayi Zhang, Linglong Dai, Yu Zhang +1

The mixed radio frequency (RF)/free-space optical (FSO) relaying is a promising technology for coverage improvement, while there lacks unified expressions to describe its performan…

cs.IT2015★ 226 cited

Smart Pilot Assignment for Massive MIMO

Xudong Zhu, Zhaocheng Wang, Linglong Dai +1

A massive multiple-input multiple-output (MIMO) system, which utilizes a large number of antennas at the base station (BS) to serve multiple users, suffers from pilot contamination…

cs.IT2015★ 128 cited

Graph Coloring Based Pilot Allocation to Mitigate Pilot Contamination for Multi-Cell Massive MIMO Systems

Xudong Zhu, Linglong Dai, Zhaocheng Wang

A massive multiple-input multiple-output (MIMO) system, which utilizes a large number of base station (BS) antennas to serve a set of users, suffers from pilot contamination due to…

cs.IT2015★ 84 cited

Achievable Rate of Rician Large-Scale MIMO Channels with Transceiver Hardware Impairments

Jiayi Zhang, Linglong Dai, Xinling Zhang +2

Transceiver hardware impairments (e.g., phase noise, in-phase/quadrature-phase (I/Q) imbalance, amplifier non-linearities, and quantization errors) have obvious degradation effects…

cs.IT2015★ 60 cited

On the Ergodic Capacity of MIMO Free-Space Optical Systems over Turbulence Channels

Jiayi Zhang, Linglong Dai, Yanjun Han +2

The free-space optical (FSO) communications can achieve high capacity with huge unlicensed optical spectrum and low operational costs. The corresponding performance analysis of FSO…