769 research outputs found
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
Energy efficiency and interference management in long term evolution-advanced networks.
Doctoral Degree. University of KwaZulu-Natal, Durban.Cellular networks are continuously undergoing fast extraordinary evolution to overcome
technological challenges. The fourth generation (4G) or Long Term Evolution-Advanced
(LTE-Advanced) networks offer improvements in performance through increase in network density,
while allowing self-organisation and self-healing. The LTE-Advanced architecture is heterogeneous,
consisting of different radio access technologies (RATs), such as macrocell, smallcells, cooperative
relay nodes (RNs), having various capabilities, and coexisting in the same geographical coverage
area. These network improvements come with different challenges that affect users’ quality of
service (QoS) and network performance. These challenges include; interference management, high
energy consumption and poor coverage of marginal users. Hence, developing mitigation schemes for
these identified challenges is the focus of this thesis.
The exponential growth of mobile broadband data usage and poor networks’ performance along
the cell edges, result in a large increase of the energy consumption for both base stations (BSs) and
users. This due to improper RN placement or deployment that creates severe inter-cell and intracell
interferences in the networks. It is therefore, necessary to investigate appropriate RN placement
techniques which offer efficient coverage extension while reducing energy consumption and mitigating
interference in LTE-Advanced femtocell networks. This work proposes energy efficient and optimal
RN placement (EEORNP) algorithm based on greedy algorithm to assure improved and effective
coverage extension. The performance of the proposed algorithm is investigated in terms of coverage
percentage and number of RN needed to cover marginalised users and found to outperform other RN
placement schemes.
Transceiver design has gained importance as one of the effective tools of interference
management. Centralised transceiver design techniques have been used to improve network
performance for LTE-Advanced networks in terms of mean square error (MSE), bit error rate (BER)
and sum-rate. The centralised transceiver design techniques are not effective and computationally
feasible for distributed cooperative heterogeneous networks, the systems considered in this thesis.
This work proposes decentralised transceivers design based on the least-square (LS) and minimum MSE (MMSE) pilot-aided channel estimations for interference management in uplink
LTE-Advanced femtocell networks. The decentralised transceiver algorithms are designed for the
femtocells, the macrocell user equipments (MUEs), RNs and the cell edge macrocell UEs (CUEs) in
the half-duplex cooperative relaying systems. The BER performances of the proposed algorithms
with the effect of channel estimation are investigated.
Finally, the EE optimisation is investigated in half-duplex multi-user multiple-input
multiple-output (MU-MIMO) relay systems. The EE optimisation is divided into sub-optimal EE
problems due to the distributed architecture of the MU-MIMO relay systems. The decentralised
approach is employed to design the transceivers such as MUEs, CUEs, RN and femtocells for the
different sub-optimal EE problems. The EE objective functions are formulated as convex
optimisation problems subject to the QoS and transmit powers constraints in case of perfect channel
state information (CSI). The non-convexity of the formulated EE optimisation problems is
surmounted by introducing the EE parameter substractive function into each proposed algorithms.
These EE parameters are updated using the Dinkelbach’s algorithm. The EE optimisation of the
proposed algorithms is achieved after finding the optimal transceivers where the unknown
interference terms in the transmit signals are designed with the zero-forcing (ZF) assumption and
estimation errors are added to improve the EE performances. With the aid of simulation results, the
performance of the proposed decentralised schemes are derived in terms of average EE evaluation
and found to be better than existing algorithms
Distributed Resource Allocation Assisted by Intercell Interference Mitigation in Downlink Multicell MC DS-CDMA Systems
This paper investigates the allocation of resources, including subcarriers and spreading codes, as well as intercell interference (ICI) mitigation for multicell downlink multicarrier direct-sequence code division multiple-access systems, which aim to maximize the system's spectral efficiency (SE). The analytical benchmark scheme for resource allocation and ICI mitigation is derived by solving or closely solving a series of mixed integer non-convex optimization problems. Based on the optimization objectives the same as the benchmark scheme, we propose a novel distributed resource allocation assisted by ICI mitigation scheme referred to as resource allocation assisted by ICI mitigation (RAIM), which requires very low implementation complexity and demands little backhaul resource. Our RAIM algorithm is a fully distributed algorithm, which consists of the subcarrier allocation (SA) algorithm named RAIM-SA, spreading code allocation (CA) algorithm called RAIM-CA and the ICI mitigation algorithm termed RAIM-IM. The advantages of the RAIM are that its CA only requires limited binary ICI information of intracell channels, and it is able to make mitigation decisions without any knowledge of ICI information. Our simulation results show that the proposed RAIM scheme, with very low complexity required, achieves significantly better SE performance than other existing schemes, and its performance is very close to that obtained by the benchmark scheme
Distributed Resource Allocation Assisted by Intercell Interference Mitigation in Downlink Multicell MC DS-CDMA Systems
This paper investigates the allocation of resources, including subcarriers and spreading codes, as well as intercell interference (ICI) mitigation for multicell downlink multicarrier direct-sequence code division multiple-access systems, which aim to maximize the system's spectral efficiency (SE). The analytical benchmark scheme for resource allocation and ICI mitigation is derived by solving or closely solving a series of mixed integer non-convex optimization problems. Based on the optimization objectives the same as the benchmark scheme, we propose a novel distributed resource allocation assisted by ICI mitigation scheme referred to as resource allocation assisted by ICI mitigation (RAIM), which requires very low implementation complexity and demands little backhaul resource. Our RAIM algorithm is a fully distributed algorithm, which consists of the subcarrier allocation (SA) algorithm named RAIM-SA, spreading code allocation (CA) algorithm called RAIM-CA and the ICI mitigation algorithm termed RAIM-IM. The advantages of the RAIM are that its CA only requires limited binary ICI information of intracell channels, and it is able to make mitigation decisions without any knowledge of ICI information. Our simulation results show that the proposed RAIM scheme, with very low complexity required, achieves significantly better SE performance than other existing schemes, and its performance is very close to that obtained by the benchmark scheme
Review on Radio Resource Allocation Optimization in LTE/LTE-Advanced using Game Theory
Recently, there has been a growing trend toward ap-plying game theory (GT) to various engineering fields in order to solve optimization problems with different competing entities/con-tributors/players. Researches in the fourth generation (4G) wireless network field also exploited this advanced theory to overcome long term evolution (LTE) challenges such as resource allocation, which is one of the most important research topics. In fact, an efficient de-sign of resource allocation schemes is the key to higher performance. However, the standard does not specify the optimization approach to execute the radio resource management and therefore it was left open for studies. This paper presents a survey of the existing game theory based solution for 4G-LTE radio resource allocation problem and its optimization
- …