305 research outputs found
Advanced Trends in Wireless Communications
Physical limitations on wireless communication channels impose huge challenges to reliable communication. Bandwidth limitations, propagation loss, noise and interference make the wireless channel a narrow pipe that does not readily accommodate rapid flow of data. Thus, researches aim to design systems that are suitable to operate in such channels, in order to have high performance quality of service. Also, the mobility of the communication systems requires further investigations to reduce the complexity and the power consumption of the receiver. This book aims to provide highlights of the current research in the field of wireless communications. The subjects discussed are very valuable to communication researchers rather than researchers in the wireless related areas. The book chapters cover a wide range of wireless communication topics
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
Mobile communications have been undergoing a generational change every ten
years or so. However, the time difference between the so-called "G's" is also
decreasing. While fifth-generation (5G) systems are becoming a commercial
reality, there is already significant interest in systems beyond 5G, which we
refer to as the sixth-generation (6G) of wireless systems. In contrast to the
already published papers on the topic, we take a top-down approach to 6G. We
present a holistic discussion of 6G systems beginning with lifestyle and
societal changes driving the need for next generation networks. This is
followed by a discussion into the technical requirements needed to enable 6G
applications, based on which we dissect key challenges, as well as
possibilities for practically realizable system solutions across all layers of
the Open Systems Interconnection stack. Since many of the 6G applications will
need access to an order-of-magnitude more spectrum, utilization of frequencies
between 100 GHz and 1 THz becomes of paramount importance. As such, the 6G
eco-system will feature a diverse range of frequency bands, ranging from below
6 GHz up to 1 THz. We comprehensively characterize the limitations that must be
overcome to realize working systems in these bands; and provide a unique
perspective on the physical, as well as higher layer challenges relating to the
design of next generation core networks, new modulation and coding methods,
novel multiple access techniques, antenna arrays, wave propagation,
radio-frequency transceiver design, as well as real-time signal processing. We
rigorously discuss the fundamental changes required in the core networks of the
future that serves as a major source of latency for time-sensitive
applications. While evaluating the strengths and weaknesses of key 6G
technologies, we differentiate what may be achievable over the next decade,
relative to what is possible.Comment: Accepted for Publication into the Proceedings of the IEEE; 32 pages,
10 figures, 5 table
Multidimensional Index Modulation for 5G and Beyond Wireless Networks
This study examines the flexible utilization of existing IM techniques in a
comprehensive manner to satisfy the challenging and diverse requirements of 5G
and beyond services. After spatial modulation (SM), which transmits information
bits through antenna indices, application of IM to orthogonal frequency
division multiplexing (OFDM) subcarriers has opened the door for the extension
of IM into different dimensions, such as radio frequency (RF) mirrors, time
slots, codes, and dispersion matrices. Recent studies have introduced the
concept of multidimensional IM by various combinations of one-dimensional IM
techniques to provide higher spectral efficiency (SE) and better bit error rate
(BER) performance at the expense of higher transmitter (Tx) and receiver (Rx)
complexity. Despite the ongoing research on the design of new IM techniques and
their implementation challenges, proper use of the available IM techniques to
address different requirements of 5G and beyond networks is an open research
area in the literature. For this reason, we first provide the dimensional-based
categorization of available IM domains and review the existing IM types
regarding this categorization. Then, we develop a framework that investigates
the efficient utilization of these techniques and establishes a link between
the IM schemes and 5G services, namely enhanced mobile broadband (eMBB),
massive machine-type communications (mMTC), and ultra-reliable low-latency
communication (URLLC). Additionally, this work defines key performance
indicators (KPIs) to quantify the advantages and disadvantages of IM techniques
in time, frequency, space, and code dimensions. Finally, future recommendations
are given regarding the design of flexible IM-based communication systems for
5G and beyond wireless networks.Comment: This work has been submitted to Proceedings of the IEEE for possible
publicatio
Adaptive beamforming and switching in smart antenna systems
The ever increasing requirement for providing large bandwidth and seamless data access to commuters has prompted new challenges to wireless solution providers. The communication channel characteristics between mobile clients and base station change rapidly with the increasing traveling speed of vehicles. Smart antenna systems with adaptive beamforming and switching technology is the key component to tackle the challenges.
As a spatial filter, beamformer has long been widely used in wireless communication, radar, acoustics, medical imaging systems to enhance the received signal from a particular looking direction while suppressing noise and interference from other directions. The adaptive beamforming algorithm provides the capability to track the varying nature of the communication channel characteristics. However, the conventional adaptive beamformer assumes that the Direction of Arrival (DOA) of the signal of interest changes slowly, although the interference direction could be changed dynamically. The proliferation of High Speed Rail (HSR) and seamless wireless communication between infrastructure ( roadside, trackside equipment) and the vehicles (train, car, boat etc.) brings a unique challenge for adaptive beamforming due to its rapid change of DOA. For a HSR train with 250km/h, the DOA change speed can be up to 4⁰ per millisecond. To address these unique challenges, faster algorithms to calculate the beamforming weight based on the rapid-changing DOA are needed.
In this dissertation, two strategies are adopted to address the challenges. The first one is to improve the weight calculation speed. The second strategy is to improve the speed of DOA estimation for the impinging signal by leveraging on the predefined constrained route for the transportation market. Based on these concepts, various algorithms in beampattern generation and adaptive weight control are evaluated and investigated in this thesis. The well known Generalized Sidelobe Cancellation (GSC) architecture is adopted in this dissertation. But it faces serious signal cancellation problem when the estimated DOA deviates from the actual DOA which is severe in high mobility scenarios as in the transportation market. Algorithms to improve various parts of the GSC are proposed in this dissertation. Firstly, a Cyclic Variable Step Size (CVSS) algorithm for adjusting the Least Mean Square (LMS) step size with simplicity for implementation is proposed and evaluated. Secondly, a Kalman filter based solution to fuse different sensor information for a faster estimation and tracking of the DOA is investigated and proposed. Thirdly, to address the DOA mismatch issue caused by the rapid DOA change, a fast blocking matrix generation algorithm named Simplifized Zero Placement Algorithm (SZPA) is proposed to mitigate the signal cancellation in GSC. Fourthly, to make the beam pattern robust against DOA mismatch, a fast algorithm for the generation of at beam pattern named Zero Placement Flat Top (ZPFT) for the fixed beamforming path in GSC is proposed. Finally, to evaluate the effectiveness and performance of the beamforming algorithms, wireless channel simulation is needed. One of the challenging aspects for wireless simulation is the coupling between Probability Density Function (PDF) and Power Spectral Density (PSD) for a random variable. In this regard, a simplified solution to simulate Non Gaussian wireless channel is proposed, proved and evaluated for the effectiveness of the algorithm.
With the above optimizations, the controlled simulation shows that the at top beampattern can be generated 380 times faster than iterative optimization method and blocking matrix can be generated 9 times faster than normal SVD method while the same overall optimum state performance can be achieved
Analysis of data-aided channel tracking for hybrid massive MIMO systems in millimeter wave communications
As the data traffic in future wireless communications will explosively grow up to 1000
folds by the deployment of 5G, several technologies are emerging to satisfy this demand, including
massive multiple-input multiple-output (MIMO), millimeter wave(mmWave) communications,
Non-Orthogonal Multiple Access (NOMA), etc. The combination of millimeter
wave communication and massive MIMO is a promising solution since it can provide tens
of GHz bandwidth by fundamentally exploring higher unoccupied spectrum resources. As
the wavelength of higher frequency shrinks, it is possible to design more compact antenna
array with a very large number of antennas. However, this will cause enormous hardware
cost, energy consumption and computation complexity of decent RF(Radio Frequency)
chains. To this end, spatial sparsity is widely explored to enable hybrid mmWave massive
MIMO systems with limited RF chains to achieve high spectral and energy efficiency.
On the other hand, channel estimation problem for systems with limited RF chains
is quite challenging due to the unaffordable overhead. To be specific, the conventional
pilot-based channel estimation requires to repeatedly transmit the same pilot because only
a limited number of antennas will be activated for each time slot. Therefore, it consumes
a huge amount of temporal and spectral resources. To overcome this problem, channel
estimation for mmWave massive MIMO systems is still an on-going research area. Among
plenty of candidates, channel tracking is the most promising one. To achieve the extremely
low cost and complexity, which is also the greatest motivation of this thesis, data-aided
channel tracking method is thoroughly investigated with closed-form CRLB(Cram´er-Rao
lower bound). In this thesis, data-aided channel tracking systems with different types of
antenna, including ULA(Uniform Linear Antenna array), DLA(Discrete Lens Antenna ar
ray) and UPA(Uniform Planar Antenna array), are comprehensively studied and proposed,
and the closed-form expressions of the corresponding CRLBs are carefully derived. The
numerical results of the simulations for each case are shown respectively, and they reveal
that the performance of the proposed data-aided channel tracking system approaches the
CRLB very well.
In addition, to further explore the data-aided channel tracking system, the multi-user
scenario is investigated in this thesis. This is motivated by the highway and high-speed
railway application, where overtaking operation happens frequently. In this case, the users
in the same beam suffer from high channel interference, thus degrading the channel estimation
performance or even causing outage. To deal with this issue, we proposed an
estimated SER(Symbol Error Rate) metric to indicate if a scheduling operation is necessary
to be taken place and restart of the whole channel tracking system is required. This
metric is included as the Update phase in the proposed channel tracking method for multiuser
scenario with DLA. The theoretical SER closed-form expression is also derived for
multi-user data detection. The numerical results of the simulations verified the theoretical
SER expression, and the scheduling metric based on the estimated SER performance is
also discussed
Comparação do desempenho de arquiteturas híbridas para comunicações na banda das ondas milimétricas
Mestrado em Engenharia Electrónica e TelecomunicaçõesA proliferação massiva das comunicações sem os faz prever que o número de utilizadores aumente exponencialmente até 2020, o que tornar a necessário um suporte de tráfego milhares de vezes superior e com ligações na ordem dos Gigabit por segundo. Este incremento exigir a um aumento significativo da e ciência espectral e energética. Impõe-se portanto, uma mudança de paradigma dos sistemas de comunicação sem os convencionais, imposta pela introdução da 5a geração. Para o efeito, e necessário desenvolver novas e promissoras técnicas de transmissão, nomeadamente a utilização de ondas milimétricas em sistemas com um número massivo de antenas. No entanto, consideráveis desafios emergem ao adotar estas técnicas. Por um lado, este tipo de ondas sofre grandes dificuldades em termos de propagação. Por outro lado, a adoção de arquiteturas convencionais para sistemas com um número massivo de antenas e absolutamente inviável, devido ao custo e ao nível de complexidade inerentes. Isto acontece porque o processamento de sinal ao nível da camada f sica e maioritariamente feito em banda base, ou seja, no domínio digital requerendo uma cadeia RF por cada antena. Neste contexto as arquiteturas híbridas são uma proposta relativamente recente que visa simplificar a utilização de um grande número de antenas, dividindo o processamento entre os domínios analógico e digital. Para além disso, o número de cadeias RF necessárias e bastante inferior ao número total de antenas do sistema, contribuindo para obvias melhorias em termos de complexidade, custo e energia consumida. Nesta dissertação e implementada uma arquitetura híbrida para ondas milimétricas, onde cada cadeia RF está apenas conectada a um pequeno conjunto de antenas. E considerado um sistema contendo um transmissor e um recetor ambos equipados com um grande número de antenas e onde, o número de cadeias RF e bastante inferior ao número total de antenas. Pré-codificadores híbridos analógico/digital, recentemente propostos na literatura são utilizados e novos equalizadores híbridos analógico/digital são projetados. E feita uma avaliação de performance à arquitetura implementada e posteriormente comparada com uma outra arquitetura, onde todas as antenas estão conectadas a todas as cadeias RF.The expected massive proliferation of wireless systems points out an exponential
increase in the number of users until 2020, which is needed to
support up to one thousand times more tra c and connections in order of
Gigabit per second. However, these goals require a signi cantly improvement
in the spectral and energy e ciency. As a result, it is essential to
make a paradigm shift in conventional wireless systems, imposed by the
introduction of fth generation (5G).
For this purpose, new and promising transmission techniques will be needed,
namely the use of millimeter Waves (mmWave) in systems with a massive
number of antenna elements. Nevertheless, considerable challenges emerge
in the adoption of these techniques. On one hand, mmWave su er great
di culties in terms of propagation. On the other hand, the using of conventional
architectures for systems with a large number of antennas is absolutely
impracticable because of the costs and the level of complexity. This happens
because the signal processing in physical layer is mostly done in baseband,
which means, that one RF chain for each antenna is required.
In this context the hybrid architectures are a relatively recent proposal where
the aim is to simplify the use of a large number of antenna elements, dividing
the processing between the analog and digital domains. Moreover, the
number of RF chains needed are much lower than the total number of
antenna elements of the system, which contribute to obvious improvements
in terms of complexity, costs and energy consumption.
In this Dissertation a hybrid mmWave based architecture, where each RF
chain is only connected to a small set of antennas, is implemented. It is
considered a system comprising a transmitter and a receiver both equipped
with a massive number of antennas and where the number of RF chains is
much lower than the number of antennas. Hybrid analog/digital precoders
recently proposed in the literature are used and a new hybrid analog/digital
equalizer is designed. The implemented architecture is then evaluated and
compared with other architecture, where all the antennas are connected to
all RF chains
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