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Journal ArticleDOI

Making smart use of excess antennas: Massive MIMO, small cells, and TDD

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TLDR
It is suggested that time division duplexing (TDD) could be a key enabler for a new heterogeneous network architecture with the potential to provide ubiquitous coverage and unprecedented spectral area efficiencies.
Abstract
In this paper, we present a vision beyond the conventional Long Term Evolution Fourth Generation (LTE-4G) evolution path and suggest that time division duplexing (TDD) could be a key enabler for a new heterogeneous network architecture with the potential to provide ubiquitous coverage and unprecedented spectral area efficiencies. This architecture is based on a cochannel deployment of macro base stations (BSs) with very large antenna arrays and a secondary tier of small cells (SCs) with a few antennas each. Both tiers employ a TDD protocol in a synchronized fashion. The resulting channel reciprocity enables not only the estimation of large-dimensional channels at the BSs, but also an implicit coordination between both tiers without the need to exchange user data or channel state information (CSI) over the backhaul. In particular, during the uplink (UL), the BSs and SCs can locally estimate the dominant interference sub-space. This knowledge can be leveraged for downlink (DL) precoding to reduce intra- and inter-tier interference. In other words, the BSs and SCs “sacrifice” some of their degrees of freedom for interference rejection. Our simulation results demonstrate that the proposed architecture and precoding scheme can achieve a very attractive rate region compared to several baseline scenarios. For example, with 100 antennas at each BS and four antennas at each SC, we observe an aggregate area throughput of 7.63 Gb/s/km2 (DL) and 8.93 Gb/s/km2 (UL) on a 20 MHz band shared by about 100 mobile devices.

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Citations
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Proceedings ArticleDOI

Enhancement of spectral and energy efficiency in massive MIMO systems with linear schemes

TL;DR: This work basically considered linear processing algorithms such as zero-forcing (ZF), maximum ratio combing (MRC) and minimum mean square error (MMSE) for the analysis SE for the both single and multi-cell scenario in M-MIMO systems.
Journal ArticleDOI

Experimental Evaluation of Flexible Duplexing in Multi-Tier MIMO Networks

TL;DR: The obtained results show that flexible duplexing clearly outperforms the conventional time-division duplex (TDD) access approach, and interference alignment consistently provides better results in most of the interference regimes when compared to minimum mean square error (MMSE)-based schemes.
Posted Content

Operating Massive MIMO in Unlicensed Bands for Enhanced Coexistence and Spatial Reuse

TL;DR: In this article, the authors proposed a massive MIMO unlicensed (mMIMO-U) cellular BS to guarantee coexistence with nearby Wi-Fi devices operating in the same band.
Journal ArticleDOI

Sum-Rate Improvement in Massive MIMO System with User Grouping and Selection, and Antenna Scheduling Scheme

TL;DR: Proposed user grouping method and new user selection techniques in TDD Massive (MIMO) systems using K-means clustering algorithm and Semi-Orthogonal user selection (SOU) and antenna scheduling with zero forcing precoding demonstrated maximum system sum-rate.
Proceedings ArticleDOI

Carrier frequency and sampling rate offsets effect on sub 6 GHz Massive MIMO

TL;DR: Simulation results show that without accurate compensation or calibration methods, the effect of sampling rate and carrier frequency offsets is very dramatic on massive MIMO performance, and increasing the array size does not provide an economically viable solution to alleviate the negative effects of such offsets.
References
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Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas

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Journal ArticleDOI

Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays

TL;DR: The gains in multiuser systems are even more impressive, because such systems offer the possibility to transmit simultaneously to several users and the flexibility to select what users to schedule for reception at any given point in time.
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