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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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Journal ArticleDOI

Enhancing the performance of futurewireless networks with software-defined networking Project supported by the US National Science Foundation (Nos. CNS-1247955 and CNS-1320664) and the Wireless Engineering Research and Education Center (WEREC) at Auburn University, Auburn, USA

TL;DR: This paper first analyzes the applications of software-defined networking to different types of wireless networks, and discusses several important technical aspects of performance enhancement in SDN-based wireless networks.
Proceedings ArticleDOI

Performance evaluation of low complexity double-sided massive MIMO transceivers

TL;DR: This paper derives achievable rate upper bounds that facilitate interpretation and explanation of performance losses observed with increasing antenna correlation and with growing number of antennas and spatially multiplexed users.
Journal ArticleDOI

User association and wireless backhaul bandwidth allocation for 5G heterogeneous networks in the millimeter-wave band

TL;DR: Simulation results reveal that the distributed optimization algorithm jointly optimizing two variables outperforms the conventional SINR-based user association strategies.
Proceedings ArticleDOI

Advanced inter-cell interference management technologies in 5G wireless Heterogeneous Networks (HetNets)

TL;DR: An extensive qualitative survey on different schemes of interference reduction is provided along with their performance, effectiveness and deficiencies and key challenges and some guidelines to rework and overcome the shortcomings of the existing schemes are discussed.
Journal ArticleDOI

Interference coordination in full-duplex HetNet with large-scale antenna arrays

TL;DR: This paper provides an interference coordination framework for a two-tier heterogeneous network (HetNet) that consists of a massive-MIMO enabled macro-cell base station (MBS) and a number of full-duplex small- cell base stations (SBSs) and proposes two centralized algorithms, a genetic algorithm (GEA and a greedy algorithm (GRA).
References
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Journal ArticleDOI

Fundamentals of statistical signal processing: estimation theory

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

Capacity of Multi‐antenna Gaussian Channels

TL;DR: In this paper, the authors investigate the use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading, and derive formulas for the capacities and error exponents of such channels, and describe computational procedures to evaluate such formulas.
Journal ArticleDOI

On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas

TL;DR: In this article, the authors examined the performance of using multi-element array (MEA) technology to improve the bit-rate of digital wireless communications and showed that with high probability extraordinary capacity is available.
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

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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