An Overview of Low-Rank Channel Estimation for Massive MIMO Systems
Hongxiang Xie,Feifei Gao,Shi Jin +2 more
TLDR
A general overview of the current low-rank channel estimation approaches is provided, including their basic assumptions, key results, as well as pros and cons on addressing the aforementioned tricky challenges.Abstract:
Massive multiple-input multiple-output is a promising physical layer technology for 5G wireless communications due to its capability of high spectrum and energy efficiency, high spatial resolution, and simple transceiver design. To embrace its potential gains, the acquisition of channel state information is crucial, which unfortunately faces a number of challenges, such as the uplink pilot contamination, the overhead of downlink training and feedback, and the computational complexity. In order to reduce the effective channel dimensions, researchers have been investigating the low-rank (sparse) properties of channel environments from different viewpoints. This paper then provides a general overview of the current low-rank channel estimation approaches, including their basic assumptions, key results, as well as pros and cons on addressing the aforementioned tricky challenges. Comparisons among all these methods are provided for better understanding and some future research prospects for these low-rank approaches are also forecasted.read more
Citations
More filters
Posted Content
FusionNet: Enhanced Beam Prediction for mmWave Communications Using Sub-6GHz Channel and A Few Pilots
TL;DR: An antenna selection model that can choose better active antennas to send the downlink pilots, in which the gradient of antenna selection vector is approximated by that of an antenna probability vector, is proposed.
Posted Content
A New View of Multi-User Hybrid Massive MIMO: Non-Orthogonal Angle Division Multiple Access
TL;DR: In this article, the authors presented a new view of multi-user (MU) hybrid massive multiple-input and multiple-output (MIMO) systems from array signal processing perspective and decompose the channel matrix into an angle domain basis matrix and a gain matrix.
Journal ArticleDOI
Interference Management and User Association for Nested Array-Based Massive MIMO HetNets
Mingjie Feng,Shiwen Mao +1 more
TL;DR: This paper applies nested array in a massive multiple input multiple output (MIMO) heterogeneous network (HetNet) for interference management and proposes a distributed joint interference nulling and user association scheme based on a poly matching between users and BSs.
Journal ArticleDOI
Joint Channel Parameter Estimation in Multi-Cell Massive MIMO System
TL;DR: A parallel factor (PARAFAC)-based estimation scheme is proposed, which exploits the low-rank property of massive MIMO channels caused by the finite scattering in a physical environment and can achieve both low computational complexities and close to optimal Cramer–Rao Bound performance.
Journal ArticleDOI
Channel Path Identification in mmWave Systems With Large-Scale Antenna Arrays
TL;DR: This work considers the uplink channel estimation problem in a millimeter wave (mmWave) system with large-scale antenna arrays and proposes three algorithms to estimate the number of paths, direction of arrivals (DoAs) and path gains, which perform better than the conventional spatial smoothing.
References
More filters
Journal ArticleDOI
Multiple emitter location and signal parameter estimation
TL;DR: In this article, a description of the multiple signal classification (MUSIC) algorithm, which provides asymptotically unbiased estimates of 1) number of incident wavefronts present; 2) directions of arrival (DOA) (or emitter locations); 3) strengths and cross correlations among the incident waveforms; 4) noise/interference strength.
Journal ArticleDOI
ESPRIT-estimation of signal parameters via rotational invariance techniques
R. Roy,Thomas Kailath +1 more
TL;DR: Although discussed in the context of direction-of-arrival estimation, ESPRIT can be applied to a wide variety of problems including accurate detection and estimation of sinusoids in noise.
Journal ArticleDOI
Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
TL;DR: A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval and a complete multi-cellular analysis yields a number of mathematically exact conclusions and points to a desirable direction towards which cellular wireless could evolve.
Journal ArticleDOI
Beamforming: a versatile approach to spatial filtering
B.D. Van Veen,K.M. Buckley +1 more
TL;DR: An overview of beamforming from a signal-processing perspective is provided, with an emphasis on recent research.
Journal ArticleDOI
How much training is needed in multiple-antenna wireless links?
TL;DR: This work compute a lower bound on the capacity of a channel that is learned by training, and maximize the bound as a function of the received signal-to-noise ratio (SNR), fading coherence time, and number of transmitter antennas.