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Proceedings ArticleDOI

Spatial multiplexing in heterogeneous networks with MMSE receiver

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TLDR
The downlink of a multi-antenna heterogeneous cellular network with distance-dependent interference is analyzed and open-loop spatial multiplexing with minimum mean-square estimation (MMSE) receiver is considered for suppressing self-interference as well as other cell interference.
Abstract
In this paper, we analyze the downlink of a multi-antenna heterogeneous cellular network with distance-dependent interference. In particular, we consider open-loop spatial multiplexing (SM) with minimum mean-square estimation (MMSE) receiver for suppressing self-interference as well as other cell interference. Coverage probability and rate distribution are obtained with biased user association rule and inter-cell interference. The results show that using full rate SM at the macro base stations (BSs) degrades the data rate for a large percentage of cell-edge users compared to a low rate SM transmission. Therefore, the cell edge data rate can be improved substantially by reducing the SM rate at the macro BSs while maintaining full SM rate at the pico BSs. The loss in mean spectrum efficiency (SE) caused by the SM rate reduction is shown to be acceptable for the cases of interest.

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Journal ArticleDOI

Performance Analysis of SDMA with Inter-tier Interference Nulling in HetNets

TL;DR: The proposed interference nulling scheme has strong potential for improving performance if the macro antennas partitioning is carefully done and it is found to outperform both single-user beamforming and full-SDMA.
Journal ArticleDOI

Joint MMSE transceiver design for downlink heterogeneous network

TL;DR: The study shows that the proposed MMSE scheme is more flexible than interference alignment (IA) based scheme, but is computationally more complex than the IA-type scheme.
Proceedings ArticleDOI

Performance analysis of SDMA with inter-tier interference nulling in HetNets

TL;DR: The downlink performance of two-tier (macro/pico) multi-antenna cellular heterogeneous networks (HetNets) employing space division multiple access (SDMA) technique is analyzed and biased-nearest-distance based user association scheme is proposed as those introduced in previous studies are unsuitable for analyzed.
Journal ArticleDOI

Joint MMSE Transceiver Design for Downlink Heterogeneous Network

TL;DR: In this paper, the authors proposed a minimum mean square error (MMSE) based transceiver design scheme for a downlink MIMO two-tier heterogeneous network with general linear equality per-cell power constraints.
References
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Book

Stochastic Geometry and Its Applications

TL;DR: Random Closed Sets I--The Boolean Model. Random Closed Sets II--The General Case.
Journal ArticleDOI

A Tractable Approach to Coverage and Rate in Cellular Networks

TL;DR: The proposed model is pessimistic (a lower bound on coverage) whereas the grid model is optimistic, and that both are about equally accurate, and the proposed model may better capture the increasingly opportunistic and dense placement of base stations in future networks.
Journal ArticleDOI

Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks

Abstract: Cellular networks are in a major transition from a carefully planned set of large tower-mounted base-stations (BSs) to an irregular deployment of heterogeneous infrastructure elements that often additionally includes micro, pico, and femtocells, as well as distributed antennas. In this paper, we develop a tractable, flexible, and accurate model for a downlink heterogeneous cellular network (HCN) consisting of K tiers of randomly located BSs, where each tier may differ in terms of average transmit power, supported data rate and BS density. Assuming a mobile user connects to the strongest candidate BS, the resulting Signal-to-Interference-plus-Noise-Ratio (SINR) is greater than 1 when in coverage, Rayleigh fading, we derive an expression for the probability of coverage (equivalently outage) over the entire network under both open and closed access, which assumes a strikingly simple closed-form in the high SINR regime and is accurate down to -4 dB even under weaker assumptions. For external validation, we compare against an actual LTE network (for tier 1) with the other K-1 tiers being modeled as independent Poisson Point Processes. In this case as well, our model is accurate to within 1-2 dB. We also derive the average rate achieved by a randomly located mobile and the average load on each tier of BSs. One interesting observation for interference-limited open access networks is that at a given \sinr, adding more tiers and/or BSs neither increases nor decreases the probability of coverage or outage when all the tiers have the same target-SINR.
Book

Interference in Large Wireless Networks

TL;DR: For certain classes of node distributions, most notably Poisson point processes, and attenuation laws, closed-form results are available, for both the interference itself as well as the signal-to-interference ratios, which determine the network performance.
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