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RRH based massive MIMO with “on the Fly” pilot contamination control

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TLDR
A novel coded pilot approach is introduced, which allows each RRH unit to detect pilot collisions, and can yield densification benefits in the form of increased multiplexing gains per UL pilot dimension with respect to conventional reuse schemes and some recent approaches assigning pseudorandom pilot vectors to the active users.
Abstract
Dense large-scale antenna deployments are one of the most promising technologies for delivering very large throughputs per unit area in the downlink (DL) of cellular networks. We consider such a dense deployment involving a distributed system formed by multi-antenna remote radio head (RRH) units connected to the same fronthaul serving a geographical area. Knowledge of the DL channel between each active user and its nearby RRH antennas is most efficiently obtained at the RRHs via reciprocity based training, that is, by estimating a user's channel using uplink (UL) pilots transmitted by the user, and exploiting the UL/DL channel reciprocity. We consider aggressive pilot reuse across an RRH system, whereby a single pilot dimension is simultaneously assigned to multiple active users. We introduce a novel coded pilot approach, which allows each RRH unit to detect pilot collisions, i.e., when more than a single user in its proximity uses the same pilot dimensions. Thanks to the proposed coded pilot approach, pilot contamination can be substantially avoided. As shown, such a strategy can yield densification benefits in the form of increased multiplexing gains per UL pilot dimension with respect to conventional reuse schemes and some recent approaches assigning pseudorandom pilot vectors to the active users.

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Citations
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Journal ArticleDOI

Sparse Signal Processing for Grant-Free Massive Connectivity: A Future Paradigm for Random Access Protocols in the Internet of Things

TL;DR: It is argued that massive multiple-input, multiple-output (MIMO) is especially well suited for massive IoT connectivity because the device detection error can be driven to zero asymptotically in the limit as the number of antennas at the base station (BS) goes to infinity by using the multiplemeasurement vector (MMV) compressed sensing techniques.
Journal ArticleDOI

Random Access Protocols for Massive MIMO

TL;DR: This article addresses the need for random access by the devices to pilot sequences used for channel estimation, and shows that Massive MIMO is a main enabler to achieve fast access with high data rates, and delay-tolerant access with different data rate levels.
Proceedings ArticleDOI

Random vs Structured Pilot Assignment in Cell-Free Massive MIMO Wireless Networks

TL;DR: This paper addresses the performance improvement that structured pilot assignment policies can bring about, relative to a random pilot assignment, in cell-free massive MIMO wireless networks.
Journal ArticleDOI

Modified Conjugate Beamforming for Cell-Free Massive MIMO

TL;DR: This modification of conjugate beamforming for the forward link of cell-free massive MIMO networks eliminates the self-interference and yields a performance that, without forward pilots, closely approaches what would be achieved with such pilots in place.
Journal ArticleDOI

Massive MIMO Pilot Decontamination and Channel Interpolation via Wideband Sparse Channel Estimation

TL;DR: In this paper, the authors proposed a low-complexity algorithm that uses the received UL wideband pilot snapshots in an observation window comprising several coherence blocks (CBs) to obtain an estimate of the angle-delay power spread function (PSF) of the received signal.
References
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Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!

TL;DR: The motivation for new mm-wave cellular systems, methodology, and hardware for measurements are presented and a variety of measurement results are offered that show 28 and 38 GHz frequencies can be used when employing steerable directional antennas at base stations and mobile devices.
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Journal ArticleDOI

A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems

TL;DR: In this article, the problem of channel estimation in multi-cell interference-limited cellular networks is addressed by enabling a low-rate coordination between cells during the channel estimation phase itself.
Journal ArticleDOI

A Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems

TL;DR: It is demonstrated analytically that in the large-number-of-antennas regime, the pilot contamination effect is made to vanish completely under certain conditions on the channel covariance.
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