3,016 research outputs found
Large-Scale MIMO versus Network MIMO for Multicell Interference Mitigation
This paper compares two important downlink multicell interference mitigation
techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and
network MIMO. We consider a cooperative wireless cellular system operating in
time-division duplex (TDD) mode, wherein each cooperating cluster includes
base-stations (BSs), each equipped with multiple antennas and scheduling
single-antenna users. In an LS-MIMO system, each BS employs antennas not
only to serve its scheduled users, but also to null out interference caused to
the other users within the cooperating cluster using zero-forcing (ZF)
beamforming. In a network MIMO system, each BS is equipped with only
antennas, but interference cancellation is realized by data and channel state
information exchange over the backhaul links and joint downlink transmission
using ZF beamforming. Both systems are able to completely eliminate
intra-cluster interference and to provide the same number of spatial degrees of
freedom per user. Assuming the uplink-downlink channel reciprocity provided by
TDD, both systems are subject to identical channel acquisition overhead during
the uplink pilot transmission stage. Further, the available sum power at each
cluster is fixed and assumed to be equally distributed across the downlink
beams in both systems. Building upon the channel distribution functions and
using tools from stochastic ordering, this paper shows, however, that from a
performance point of view, users experience better quality of service, averaged
over small-scale fading, under an LS-MIMO system than a network MIMO system.
Numerical simulations for a multicell network reveal that this conclusion also
holds true with regularized ZF beamforming scheme. Hence, given the likely
lower cost of adding excess number of antennas at each BS, LS-MIMO could be the
preferred route toward interference mitigation in cellular networks.Comment: 13 pages, 7 figures; IEEE Journal of Selected Topics in Signal
Processing, Special Issue on Signal Processing for Large-Scale MIMO
Communication
Enhanced Inter-Cell Interference Coordination Challenges in Heterogeneous Networks
3GPP LTE-Advanced has started a new study item to investigate Heterogeneous
Network (HetNet) deployments as a cost effective way to deal with the
unrelenting traffic demand. HetNets consist of a mix of macrocells, remote
radio heads, and low-power nodes such as picocells, femtocells, and relays.
Leveraging network topology, increasing the proximity between the access
network and the end-users, has the potential to provide the next significant
performance leap in wireless networks, improving spatial spectrum reuse and
enhancing indoor coverage. Nevertheless, deployment of a large number of small
cells overlaying the macrocells is not without new technical challenges. In
this article, we present the concept of heterogeneous networks and also
describe the major technical challenges associated with such network
architecture. We focus in particular on the standardization activities within
the 3GPP related to enhanced inter-cell interference coordination.Comment: 12 pages, 4 figures, 2 table
Spatial DCT-Based Channel Estimation in Multi-Antenna Multi-Cell Interference Channels
This work addresses channel estimation in multiple antenna multicell
interference-limited networks. Channel state information (CSI) acquisition is
vital for interference mitigation. Wireless networks often suffer from
multicell interference, which can be mitigated by deploying beamforming to
spatially direct the transmissions. The accuracy of the estimated CSI plays an
important role in designing accurate beamformers that can control the amount of
interference created from simultaneous spatial transmissions to mobile users.
Therefore, a new technique based on the structure of the spatial covariance
matrix and the discrete cosine transform (DCT) is proposed to enhance channel
estimation in the presence of interference. Bayesian estimation and Least
Squares estimation frameworks are introduced by utilizing the DCT to separate
the overlapping spatial paths that create the interference. The spatial domain
is thus exploited to mitigate the contamination which is able to discriminate
across interfering users. Gains over conventional channel estimation techniques
are presented in our simulations which are also valid for a small number of
antennas.Comment: Submitted for possible publication. arXiv admin note: text overlap
with arXiv:1203.5924 by other author
Implementação e avaliação no system generator de um sistema cooperativo para os futuros sistemas 5G
With the arrival of 5G it is expected the proliferation of services in the
different fields such as healthcare, utility applications, industrial automation,
4K streaming, that the former networks can not provide. Additionally,
the total number of wireless communication devices will escalate in such
a manner that the already scarce available frequency bandwidth won’t be
enough to pack the intended objectives. Cisco’s Annual Internet Report from
2018 predicts that by 2023 there will be nearly 30 billion devices capable of
wireless communication. Due to the exponential expiation of both services
and devices, the challenges upon both network data capacity and efficient
radio resourse use will be greater than ever, thus the urgency for solutions
is grand.
Both the capacity for wireless communications and spectral efficiency are
related to cell size and its users proximity to the access point. Thus,
shortening the distance between the transmitter and the receiver improves
both aspects of the network. This concept is what motivates the
implementation of heterogeneous networks, HetNets, that are composed
of many different small-cells, SCs, overlaid across the same coexisting
area of a conventional macro-cell, shortening the distance between the
cell users and its access point transceivers, granting a better coverage and
higher data rates. However, the HetNets potential does not come without
any challenges, as these networks suffer considerably from communication
interference between cells.
Although some interference management algorithms that allow coexistence
between cells have been proposed in recent years, most of them were
evaluated by software simulations and not implemented in real-time
platforms. Therefore, this master thesis aims to give the first step on the
implementation and evaluation of an interference mitigation technique in
hardware. Specifically, it is assumed a downlink scenario composed by a
macro-cell base station, a macro-cell primary user and a small cell user,
with the aim of implementing an algorithm that eliminates the downlink
interference that the base station may cause to the secondary users. The
study was carried out using the System Generator DSP tool, which is a tool
that generates code for hardware from schematics created in it. This tool
also offers a wide range of blocks that help the creation, and fundamentally,
the simulation and study of the system to be implemented, before being
translated into hardware. The results obtained in this work are a faithful
representation of the behavior of the implemented system, which can be
used for a future application for FPGA.Com a chegada do 5G, espera-se a proliferação de serviços nas mais diversas
áreas tal como assistência médica, automação industrial, transmissão em
4k, que não eram possíveis nas redes das gerações anteriores. Além deste
fenómeno, o número total de dispositivos capazes de conexões wireless
aumentará de tal maneira que a escassa largura de banda disponível não
será suficiente para abranger os objetivos pretendidos. O Relatório Anual
de 2018 sobre a Internet da Cisco prevê que até 2023 haverá quase 30
bilhões de dispositivos capazes de comunicação sem fio. Devido ao aumento
exponencial de serviços e dispositivos, os desafios sobre a capacidade de
dados da rede e o udo eficiente dos recursos de rádio serão maiores que
nunca. Por estes motivos, a necessidade de soluções para estas lacunas é
enorme.
Tanto a capacidade da rede e o uso eficiente do espectro de frequências
estão relacionados ao tamanho da célula e à proximidade dos usuários com
o ponto de acesso da célula. Ao encurtar a distância entre o transmissor e
o recetor ocorre um melhoramento destes dois aspetos da rede. Este é o
principal conceito na implementação de redes heterogéneas, HetNets, que
são compostas por diversas células pequenas que coexistem na área de uma
macro célula convencional, diminuído a distância entre os utilizadores da
célula e os pontos de acesso, garantindo uma melhor cobertura e taxa de
dados mais elevadas. No entanto, o potencial das HatNets não vem sem
nenhum custo, pois estas redes sofrem consideravelmente de interferência
entre as células.
Embora nos últimos anos foram propostos alguns algoritmos que permitem
a coexistência das células, a maioria destes foi só testado em simulações
de software e não em plataformas em tempo real. Por esse motivo, esta
dissertação de mestrado visa dar o primeiro passo na implementação e
a avaliação de uma técnica de mitigação de interferência em hardware.
Mais especificamente no cenário de downlink entre uma estação base de
uma macro célula, um utilizador primário da macro célula e um utilizador
secundário de uma célula pequena, com o principal objetivo de cancelar a
interferência que a estação base possa fazer ao utilizador secundário. O
estudo foi realizado utilizando a ferramenta System Generator DSP, que é
uma ferramenta que gera código para hardware a partir de esquemáticos
criados na mesma. Esta ferramenta também oferece uma vasta gama de
blocos que ajudam a criação, e fundamentalmente, a simulação e o estudo do
sistema a implementar antes de ser traduzido para hardware. Os resultados
obtidos neste trabalho são uma fiel representação do comportamento do
sistema implementado. O quais podem ser utilizados para uma futura
aplicação para FPGA.Mestrado em Engenharia Eletrónica e Telecomunicaçõe
Universal Intelligent Small Cell (UnISCell) for Next Generation Cellular Networks
Exploring innovative cellular architectures to achieve enhanced system capacity and good coverage has become a critical issue towards realizing the next generation of wireless communications. In this context, this paper proposes a novel concept of Universal Intelligent Small Cell (UnISCell) for enabling the densification of the next generation of cellular networks. The proposed novel concept envisions an integrated platform of providing a strong linkage between different stakeholders such as
street lighting networks, landline telephone networks and future wireless networks, and is universal in nature being independent of the operating frequency bands and traffic types. The main motivating factors for the proposed small cell concept are the need of public infrastructure re-engineering, and the recent advances in several enabling technologies. First, we highlight the main concepts of the proposed UnISCell platform. Subsequently, we present two deployment scenarios for the proposed UnISCell concept considering infrastructure sharing and service sharing as important aspects. We then describe the key future
technologies for enabling the proposed UnISCell concept and present a use case example with the help of numerical results. Finally, we conclude this article by providing some interesting future recommendations
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