Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network

The limited fronthaul capacity imposes a challenge on the uplink of centralized radio access network (C-RAN). We propose to boost the fronthaul capacity of massive multiple-input multiple-output (MIMO) aided C-RAN by globally optimizing the power sharing between channel estimation and data transmission both for the user devices (UDs) and the remote radio units (RRUs). Intuitively, allocating more power to the channel estimation will result in more accurate channel estimates, which increases the achievable throughput. However, increasing the power allocated to the pilot training will reduce the power assigned to data transmission, which reduces the achievable throughput. In order to optimize the powers allocated to the pilot training and to the data transmission of both the UDs and the RRUs, we assign an individual power sharing factor to each of them and derive an asymptotic closed-form expression of the signal-to-interference-plus-noise for the massive MIMO aided C-RAN consisting of both the UD-to-RRU links and the RRU-to-baseband unit (BBU) links. We then exploit the C-RAN architecture's central computing and control capability for jointly optimizing the UDs' power sharing factors and the RRUs' power sharing factors aiming for maximizing the fronthaul capacity. Our simulation results show that the fronthaul capacity is significantly boosted by the proposed global optimization of the power allocation between channel estimation and data transmission both for the UDs and for their host RRUs. As a specific example of 32 receive antennas (RAs) deployed by RRU and 128 RAs deployed by BBU, the sum-rate of 10 UDs achieved with the optimal power sharing factors improves 33\% compared with the one attained without optimizing power sharing factors

Mitigation of impulsive noise for SISO and MIMO G.fast system

To address the demand for high bandwidth data transmission over telephone transmission lines, International Telecommunication Union (ITU) has recently completed the fourth generation broadband (4GBB) copper access network technology, known as G.fast. Throughout this thesis, extensively investigates the wired broadband G.fast coding system and the novel impulsive noise reduction technique has been proposed to improve the performance of wired communications network in three different scenarios: single-line Discrete Multiple Tone (DMT)- G.fast system; a multiple input multiple-output (MIMO) DMTG.fast system, and MIMO G.fast system with different crosstalk cancellation methods. For each of these scenarios, however, Impulsive Noise (IN) is considered as the main limiting factor of performance system. In order to improve the performance of such systems, which use higher order QAM constellation such as G.fast system, this thesis examines the performance of DMT G.fast system over copper channel for six different higher signal constellations of M = 32, 128, 512, 2048, 8192 and 32768 in presence of IN modelled as the Middleton Class A (MCA) noise source. In contrast to existing work, this thesis presents and derives a novel equation of Optimal Threshold (OT) to improve the IN frequency domain mitigation methods applied to the G.fast standard over copper channel with higher QAM signal constellations. The second scenario, Multi-Line Copper Wire (MLCW) G.fast is adopted utilizing the proposed MLCW Chen model and is compared to a single line G-fast system by a comparative analysis in terms of Bit-Error-Rate(BER) performance of implementation of MLCW-DMT G.fast system. The third scenario, linear and non-linear crosstalk crosstalk interference cancellation methods are applied to MLCW G.fas and compared by a comparative analysis in terms of BER performance and the complexity of implementation.University of Technology for choosing me for their PhD scholarship and The Higher Committee For Education Development in Iraq(HCED

Performance Enhancement in Copper Twisted Pair Cable Communications

The thesis focuses on the area of copper twisted pair based wireline communications. As one of the most widely deployed communication media, the copper twisted pair cable plays an important role in the communication network cabling infrastructure. This thesis looks to exploit diversity to improve twisted pair channels for data communications in two common application areas, namely Ethernet over Twisted Paris and digital subscriber line over twisted pair based telephone network. The first part of the thesis addresses new approaches to next generation Ethernet over twisted pair cable. The coming challenge for Ethernet over twisted pair cable is to realise a higher data rate beyond the 25/40GBASE-T standard, in relatively short reach scenarios. The straight-forward approaches, such as improving cable quality and extending frequency bandwidth, are unlikely to provide significant improvement in terms of data rate. However, other system diversities, such as spectrum utilization are yet to be fully exploited, so as to meet the desired data rate performance. The current balanced transmission over the structured twisted pair cable and its parallel single-in-single-out channel model is revisited and formulated as a full-duplex multiple-in-multiple-out (MIMO) channel model. With a common ground (provided by the cable shield), the balanced transmission is converted into unbalanced transmission, by replacing the differential-mode excitation with single-ended excitation. In this way, MIMO adoption may offer spectrum utilization advantages due to the doubled number of the channels. The S-parameters of the proposed MIMO channel model is obtained through the full wave electromagnetic simulation of a short CAT7A cable. The channel models are constructed from the resulting S-parameters, also the corresponding theoretical capacity is evaluated by exploiting different diversity scenarios. With higher spectrum efficiency, the orthogonal-frequency-division-multiplexing (OFDM) modulation can significantly improve the theoretical capacity compared with single-carrier modulation, where the channel frequency selectivity is aided. The MIMO can further enhance the capacity by minimising the impact of the crosstalk. When the crosstalk is properly handled under the unbalanced transmission, this thesis shows that the theoretical capacity of the EoTP cable can reach nearly 200GBit/s. In order to further extend the bandwidth capability of twisted pair cables, Phantom Mode transmission is studied, aiming at creating more channels under balanced transmission operation. The second part of the thesis focuses on the research of advanced scheduling algorithms for VDSL2 QoS enhancement. For VDSL2 broadband access networks, multi-user optimisation techniques have been developed, so as to improve the basic data rate performance. Spectrum balancing improves the network performance by optimising users transmit power spectra as the resource allocation, to mitigate the impact from the crosstalk. Aiming at enhancing the performance for the upstream VDSL2 service, where the users QoS demand is not known by all other users, a set of autonomous spectrum balancing algorithms is proposed. These optimise users transmit power spectra locally with only direct channel state information. To prevent selfish behaviour, the concept of a virtual user is introduced to represent the impact on both crosstalk interference and queueing status of other users. Moreover, novel algorithms are developed to determine the parameters and the weight of the virtual user. Another type of resource allocation in the VDSL2 network is crosstalk cancellation by centralised signal coordination. The history of the data queue is considered as a time series, on which different smooth filter characteristics are investigated in order to investigate further performance improvement. The use of filter techniques accounts for both the instantaneous queue length and also the previous data to determine the most efficient dynamic resource allocation. With the help of this smoothed dynamic resource allocation, the network will benefit from both reduced signalling communication and improved delay performance.The proposed algorithms are verified by numerical experiments

The Design of Resilient Engineering Infrastructure Systems

The concept of resilience has emerged from a number of domains to address how systems, people as well as organisations can handle uncertainty and thereby not only survive hardship, but also thrive and prosper. This is of particular importance for engineering infrastructure systems which, due to the inherently long lifecycles giving rise to many unknowns, need to be designed for resilience such that it not only maintains operations in the face of day-to-day demands, but also continue to be able to evolve for the future. While there has been substantial interest in resilience from both academia and industry, exactly how such systems may be endowed with resilience to address these concerns from an engineering design perspective is less clear. To this end, a literature review was first conducted to compile the definitions and characteristics of resilience across the domains of engineering, organisational management and ecology. The characteristics were found to comprise: absorbing disturbances, adapting for change and thriving for the future. These were then mapped to the engineering design ilities of robustness, adaptability and flexibility before being brought together in a conceptual model to form a strategic view for resilience. Further methods from resilience and engineering design literature were then consulted to understand how this particular view could be modelled and evaluated. This led to the development of a preliminary model using the Least Squares Monte Carlo method adapted for a telecommunications case study. The insights gained from these explorations were then used to drive the synthesis of a novel support method whereby the design for flexibility framework was adapted to include decision modelling with Bayesian Networks and for resilience analysis. Here, resilience is taken to be the maximisation of the system economic lifecycle value under uncertainty, as measured by Expected Net Present Value, through robust and flexible strategies. This was applied to two case studies involving infrastructure systems: the first built upon existing work based on a Waste-to-Energy system in Singapore to verify the new method while the second applied the support method with BT, a multinational telecommunications company based in the UK, to gauge reception of this approach in industry. In both cases, the initial capacity and maximum number of upgrades served as proxies for robustness and flexibility respectively. Results demonstrate that Bayesian Networks are able to model decision rules for flexibility by selecting technology options over time given observations on the system and are also useful for extracting expert domain knowledge. While the construction of Bayesian Networks are subjective, they present an intuitive visualisation of the dependencies in a system and as such, engaged stakeholder interest. Resilience analysis examined the effect of volatility and drift of demand on the design strategies and indeed, there existed a trade-off between robust and flexible strategies. Furthermore, the greater utility of the support method lies in aiding decision makers in exploring the solution space and prompting discussions for what-if scenarios for the organisation.BT Grou

Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking

The emerging massive density of human-held and machine-type nodes implies larger traffic deviatiolns in the future than we are facing today. In the future, the network will be characterized by a high degree of flexibility, allowing it to adapt smoothly, autonomously, and efficiently to the quickly changing traffic demands both in time and space. This flexibility cannot be achieved when the network’s infrastructure remains static. To this end, the topic of UAVs (unmanned aerial vehicles) have enabled wireless communications, and networking has received increased attention. As mentioned above, the network must serve a massive density of nodes that can be either human-held (user devices) or machine-type nodes (sensors). If we wish to properly serve these nodes and optimize their data, a proper wireless connection is fundamental. This can be achieved by using UAV-enabled communication and networks. This Special Issue addresses the many existing issues that still exist to allow UAV-enabled wireless communications and networking to be properly rolled out

Journal of Telecommunications and Information Technology, 2021, nr 1

kwartalni

High-speed low-power modulator driver arrays for medium-reach optical networks

The internet is becoming the ubiquitous tool that is changing the lives of so many citizens across the world. Commerce, government, industry, healthcare and social interactions are all increasingly using internet applications to improve and facilitate communications. This is especially true for videoenabled applications, which currently demand much higher data rates and quality from data networks. High definition TV streaming services are emerging and these again will significantly push the demand for widely deployed, high-bandwidth services. The current access passive optical networks (PONs) use a single wavelength for downstream transmission and a separate one for upstream transmission. Incorporating wavelength-division multiplexing (WDM) in a PON allows for much higher bandwidths in both directions. While WDM technologies have been successfully deployed for many years in metro and core networks, in access networks they are not commonly used yet. This is mainly due to the high costs associated with deploying entire WDM access networks. However, the present optical networks cannot be simply and cost-effectively scaled to provide the capacity for tomorrow’s users. As an effect there is a strong need for new WDM access components which are compact, cost-competitive and mass-manufacturable. Increasing the number of wavelengths for WDM-PON automatically leads to an increase in the number of single pluggable transceivers, which brings substantial design challenges and additional costs. The multitude of TXs and RXs for different wavelength channels increases the total footprint considerably. Photonic integration of transceivers into arrays will significantly reduce the footprint and cost. However, the total power consumption of an array device is an issue. To avoid the use of a thermoelectric cooler, the integration density of components is severely limited by the heat dissipating capabilities offered by their package. As a result the WDM-PON philosophy necessitates the reduction of the transceiver’s power dissipation. From this plea it is apparent that the main technology challenges for realizing future-proof optical (access) networks are reducing active component power consumption, shrinking form factors and lowering assembly costs. In this perspective an over 100 Gb/s throughput component, composed of 10 channels at 11.3 Gb/s per wavelength channel would be a great contribution to the expansion of customer bandwidth. It can provide increased line rates to the end users at speeds of 10 Gb/s per wavelength. As RXs typically consume much less power than externally modulated TXs, they can relatively easily be integrated into an array. Mainly high speed optical transmitters have significant power consumptions and the heat generation caused by power dissipation forms a critical obstacle in the development of a 10-channel transmitter, which again underlines the importance of power reduction. Alongside the introduction of WDM in access networks, also inter-office point-to-point connections in data center environments could benefit from the WDM philosophy. As data center operators often suffer from fiber scarcity or do not own their fiber infrastructure, WDM technologies are essential to deliver reach and capacity extension for these scenarios. Interdata center communication also benefits from cost-, footprint- and energyefficient components operating at high speed to maximize the throughput. As an effect integrated over 100 Gb/s transceivers, such as 4 channels at 28 Gb/s, are highly desirable. The research described in this dissertation was partly funded by the European FP7 ICT project C3PO (Colourless and Coolerless Components for low Power Optical Networks) and the UGent special research fund. The C3PO project aimed to develop a new generation of green Si-photonic compatible components with record low power consumption, that can enable bandwidth growth and constrain the total cost. C3PO envisioned building high-capacity access networks employing reflective photonic components. To achieve this, cost-competitive reflective transmitters based on electroabsorption modulators (EAM) needed to be closely integrated into arrays. A multi-wavelength optical source provides the required wavelength channels for both downstream and upstream signals in the WDM-PON. Chapter 1 gives a short overview of a PON and describes the main implementations of a WDM-PON access network. It introduces integrated low power transmitter arrays for a cost-effective architecture of WDM-PONs and inter-data center communication. Chapter 2 compares different optical transmitters and gives a short overview of their most important characteristics. External modulation through both Mach-Zehnder modulators (MZMs) and EAMs is described. It shows that EAMs are the best choice for low power transmitter array integration, thanks to their lower drive voltage and smaller form factor, compared to MZMs. To achieve a reduced consumption, the electronic modulator driver topology is studied in chapter 3. The challenge in designing modulator drivers is the need to deliver very large currents in combination with high voltage swings. Four distinct output configurations are compared and techniques to reduce the power consumption of the drivers are described. Chapter 5 presents duobinary (DB), a modulation scheme that is gaining interest in today’s optical transmission. As the required bandwidth is about half that of NRZ, it softens the constraints on the transmitter bandwidth. Thanks to its narrow optical spectrum, it has an improved tolerance to dispersion in long haul single mode links and it can improve the spectral efficiency in WDM architectures. For optical DB a precoder is necessary to assure the received signal is equal to the original binary signal. The conducted research that resulted in this dissertation produced 2 low power EAM driver arrays: A 10-channel 113 Gb/s modulator driver array with state-of-the art ultra-low power consumption. A 2-channel 56 Gb/s duobinary driver array with a differential output with low power consumption. Both designs are elaborately analyzed in chapter 4 and 6 respectively. To the best of our knowledge the 10-channel EAM driver array is the first in its kind, while achieving the lowest power consumption for an EAM driver so far reported, 50% below the state of the art in power consumption. The 2-channel EAM driver array is the fastest modulator driver including on-chip duobinary encoding and precoding reported so far. The final chapter provides an overview of the foremost conclusions from the presented research. It is concluded with suggestions for further research