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Proceedings ArticleDOI

Coordinated Multi-Point Massive MIMO Cellular Systems with Sectorized Antennas

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TLDR
The downlink performance of the system for zero-forcing precoding and propose centralized and decentralized power control schemes are analyzed and results reveal that sectorization, and multi-point coordinated sectorization lead to 2.36× and 8.56× improvements in the 95%-likely per-user throughput, respectively.
Abstract
Non-cooperative cellular Massive MIMO, combined with max-min power control, is known to give substantial improvements in per-user throughput compared with conventional 4G technology. We investigate further refinements to Massive MIMO, first, in the form of three-fold sectorization, which can be viewed as an effective reduction in cell size, and second, three-fold sectorization combined with coordinated multi-point operation, in which the three sectors cooperate in the joint service of their users. We analyze the downlink performance of the system for zero-forcing precoding and propose centralized and decentralized power control schemes. The simulation results reveal that sectorization, and multi-point coordinated sectorization lead to 2.36× and 8.56× improvements in the 95%-likely per-user throughput, respectively.

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Journal Article

Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?

TL;DR: In this article, the optimal number of scheduled users in a massive MIMO system with arbitrary pilot reuse and random user locations is analyzed in a closed form, while simulations are used to show what happens at finite $M$, in different interference scenarios, with different pilot reuse factors, and for different processing schemes.
Posted ContentDOI

Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

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Journal ArticleDOI

Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

TL;DR: In this paper , the authors provide a comprehensive review of NR specifications and techniques for ultrareliable low-latency communication (URLLC), discuss underlying principles, and highlight impeding issues of enabling GF URLLC.
Proceedings ArticleDOI

On Optimal Multi-user Beam Alignment in Millimeter Wave Wireless Systems

TL;DR: In this article, a beam alignment (BA) scheme for multi-user mmWave networks is proposed to minimize the average of expected width of remaining uncertainty regions (UR) on the AoDs after receiving users' feedbacks.
Proceedings ArticleDOI

Multi-user Beam Alignment for Millimeter Wave Systems in Multi-path Environments

TL;DR: In this paper, a theoretical framework is provided to design and analyze optimized multiuser beam alignment (BA) schemes in multi-path environments. And the proposed schemes not only reduce the BA overhead and provide beamforming gains to compensate path loss and shadowing, but also provide diversity gains to mitigate the impact of blockage in practical mmWave systems.
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Journal ArticleDOI

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TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
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

Massive MIMO for next generation wireless systems

TL;DR: While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly joined terminals, the exploitation of extra degrees of freedom provided by the excess of service antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
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.
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