Life is short. The impact of power states on base station lifetime

We study the impact of power state transitions on the lifetime of base stations (BSs) in mobile networks. In particular, we propose a model to estimate the lifetime decrease/increase as a consequence of the application of power state changes. The model takes into account both hardware (HW) parameters, which depend on the materials used to build the device, and power state parameters, that instead depend on how and when power state transitions take place. More in depth, we consider the impact of different power states when a BS is active, and one sleep mode state when a BS is powered off. When a BS reduces the power consumption, its lifetime tends to increase. However, when a BS changes the power state, its lifetime tends to be decreased. Thus, there is a tradeoff between these two effects. Our results, obtained over universal mobile telecommunication system (UMTS) and long term evolution (LTE) case studies, indicate the need of a careful management of the power state transitions in order to not deteriorate the BS lifetime, and consequently to not increase the associated reparation/replacement costs

Measurements and Modelling of Base Station Power Consumption under Real Traffic Loads †

Base stations represent the main contributor to the energy consumption of a mobile cellular network. Since traffic load in mobile networks significantly varies during a working or weekend day, it is important to quantify the influence of these variations on the base station power consumption. Therefore, this paper investigates changes in the instantaneous power consumption of GSM (Global System for Mobile Communications) and UMTS (Universal Mobile Telecommunications System) base stations according to their respective traffic load. The real data in terms of the power consumption and traffic load have been obtained from continuous measurements performed on a fully operated base station site. Measurements show the existence of a direct relationship between base station traffic load and power consumption. According to this relationship, we develop a linear power consumption model for base stations of both technologies. This paper also gives an overview of the most important concepts which are being proposed to make cellular networks more energy-efficient

Analysis of Channel Measurements Using a Very Large Antenna Array

Accurate wireless channel models are crucial to simulate the effect of radio wave propagation in a channel on wireless communication systems. By calculating physical processing effects that signal undergoes while traveling from transmitter to the receiver, channel models help to analyze performance of wireless systems. State of the art channel model such as WINNER and COST 2100 are able to model the characteristics of conventional MIMO (Multiple-Input Multiple-Output) systems (where moderate number of antennas is used at the two sides of the link) with sufficient accuracy. However, model extensions are needed for the current models in order to be able to capture new propagation characteristics result from having massive number of antenna elements at one or both ends of the communication link. In this thesis work, a measurement campaign is performed using very large antenna array (about 7.5m long) in order to study key propagation characteristics for massive MIMO. The channel measurements are performed using two frequency bands (2.6 GHz and 5.1 GHz), vertical and horizontal antenna polarizations, directional and omni-directional antennas. Effect of aforementioned setup parameters on cluster delay and angle spreads, power slope and shadowing, number of clusters and their observation lengths are studied in this work. Also correlation among estimated cluster parameters is presented. It was observed, that antenna polarization does not have significant effect on estimated cluster parameters. On the other hand, some estimated parameters like delay and angle spread, shadowing achieve higher values using 2.6 GHz band. Impact of antenna directivity was not very significant. Results of this thesis work are important while implementing extension for cluster-based COST 2100 channel model for massive MIMO case

Resource Allocation and Service Management in Next Generation 5G Wireless Networks

The accelerated evolution towards next generation networks is expected to dramatically increase mobile data traffic, posing challenging requirements for future radio cellular communications. User connections are multiplying, whilst data hungry content is dominating wireless services putting significant pressure on network's available spectrum. Ensuring energy-efficient and low latency transmissions, while maintaining advanced Quality of Service (QoS) and high standards of user experience are of profound importance in order to address diversifying user prerequisites and ensure superior and sustainable network performance. At the same time, the rise of 5G networks and the Internet of Things (IoT) evolution is transforming wireless infrastructure towards enhanced heterogeneity, multi-tier architectures and standards, as well as new disruptive telecommunication technologies. The above developments require a rethinking of how wireless networks are designed and operate, in conjunction with the need to understand more holistically how users interact with the network and with each other. In this dissertation, we tackle the problem of efficient resource allocation and service management in various network topologies under a user-centric approach. In the direction of ad-hoc and self-organizing networks where the decision making process lies at the user level, we develop a novel and generic enough framework capable of solving a wide array of problems with regards to resource distribution in an adaptable and multi-disciplinary manner. Aiming at maximizing user satisfaction and also achieve high performance - low power resource utilization, the theory of network utility maximization is adopted, with the examined problems being formulated as non-cooperative games. The considered games are solved via the principles of Game Theory and Optimization, while iterative and low complexity algorithms establish their convergence to steady operational outcomes, i.e., Nash Equilibrium points. This thesis consists a meaningful contribution to the current state of the art research in the field of wireless network optimization, by allowing users to control multiple degrees of freedom with regards to their transmission, considering mobile customers and their strategies as the key elements for the amelioration of network's performance, while also adopting novel technologies in the resource management problems. First, multi-variable resource allocation problems are studied for multi-tier architectures with the use of femtocells, addressing the topic of efficient power and/or rate control, while also the topic is examined in Visible Light Communication (VLC) networks under various access technologies. Next, the problem of customized resource pricing is considered as a separate and bounded resource to be optimized under distinct scenarios, which expresses users' willingness to pay instead of being commonly implemented by a central administrator in the form of penalties. The investigation is further expanded by examining the case of service provider selection in competitive telecommunication markets which aim to increase their market share by applying different pricing policies, while the users model the selection process by behaving as learning automata under a Machine Learning framework. Additionally, the problem of resource allocation is examined for heterogeneous services where users are enabled to dynamically pick the modules needed for their transmission based on their preferences, via the concept of Service Bundling. Moreover, in this thesis we examine the correlation of users' energy requirements with their transmission needs, by allowing the adaptive energy harvesting to reflect the consumed power in the subsequent information transmission in Wireless Powered Communication Networks (WPCNs). Furthermore, in this thesis a fresh perspective with respect to resource allocation is provided assuming real life conditions, by modeling user behavior under Prospect Theory. Subjectivity in decisions of users is introduced in situations of high uncertainty in a more pragmatic manner compared to the literature, where they behave as blind utility maximizers. In addition, network spectrum is considered as a fragile resource which might collapse if over-exploited under the principles of the Tragedy of the Commons, allowing hence users to sense risk and redefine their strategies accordingly. The above framework is applied in different cases where users have to select between a safe and a common pool of resources (CPR) i.e., licensed and unlicensed bands, different access technologies, etc., while also the impact of pricing in protecting resource fragility is studied. Additionally, the above resource allocation problems are expanded in Public Safety Networks (PSNs) assisted by Unmanned Aerial Vehicles (UAVs), while also aspects related to network security against malign user behaviors are examined. Finally, all the above problems are thoroughly evaluated and tested via a series of arithmetic simulations with regards to the main characteristics of their operation, as well as against other approaches from the literature. In each case, important performance gains are identified with respect to the overall energy savings and increased spectrum utilization, while also the advantages of the proposed framework are mirrored in the improvement of the satisfaction and the superior Quality of Service of each user within the network. Lastly, the flexibility and scalability of this work allow for interesting applications in other domains related to resource allocation in wireless networks and beyond

Flexibilização em sistemas distribuídos: uma perspectiva holística

Doutoramento em Engenharia InformáticaEm sistemas distribuídos o paradigma utilizado para interacção entre tarefas é a troca de mensagens. Foram propostas várias abordagens que permitem a especificação do fluxo de dados entre tarefas, mas para sistemas de temporeal é necessário uma definição mais rigorosa destes fluxos de dados. Nomeadamente, tem de ser possível a especificação dos parâmetros das tarefas e das mensagens, e a derivação dos parâmetros não especificados. Uma tal abordagem poderia permitir o escalonamento e despacho automático de tarefas e de mensagens, ou pelo menos, poderia reduzir o número de iterações durante o desenho do sistema. Os fluxos de dados constituem uma abordagem possível ao escalonamento e despacho holístico em sistemas distribuídos de tempo-real, onde são realizadas diferentes tipos de análises que correlacionam os vários parâmetros. Os resultados podem ser utilizados para definir o nível de memória de suporte que é necessário em cada nodo do sistema distribuído. Em sistemas distribuídos baseados em FTT, é possível implementar um escalonamento holístico centralizado, no qual se consideram as interdependências entre tarefas produtoras/consumidoras e mensagens. O conjunto de restrições que garante a realização do sistema pode ser derivado dos parâmetros das tarefas e das mensagens, tais como os períodos e os tempos de execução/transmissão. Nesta tese, são estudadas duas perspectivas, uma perspectiva centrada na rede, i.e. em que o escalonamento de mensagens é feito antes do escalonamento de tarefas, e outra perspectiva centrada no nodo. Um mecanismo simples de despacho de tarefas e de mensagens para sistemas distribuídos baseados em CAN é também proposto neste trabalho. Este mecanismo estende o já existente em FTT para despacho de mensagens. O estudo da implementação deste mecanismo nos nodos deu origem à especificação de um núcleo de sistema operativo. Procurou-se que este introduzisse uma sobrecarga mínima de modo a poder ser incluído em nodos de baixo poder computacional. Neste trabalho, é apresentado um simulador, SimHol, para prever o cumprimento temporal da transmissão de mensagens e da execução das tarefas num sistema distribuído. As entradas para o simulador são os chamados fluxos de dados, que incluem as tarefas produtoras, as mensagens correspondentes e as tarefas que utilizam os dados transmitidos. Utilizando o tempo de execução no pior caso e o tempo de transmissão, o simulador é capaz de verificar se os limites temporais são cumpridos em cada nodo do sistema e na rede.In distributed systems the communication paradigm used for intertask interaction is the message exchange. Several approaches have been proposed that allow the specification of the data flow between tasks, but in real-time systems a more accurate definition of these data flows is mandatory. Namely, the specification of the required tasks’ and messages’ parameters and the derivation of the unspecified parameters have to be possible. Such an approach could allow an automatic scheduling and dispatching of tasks and messages or, at least, could reduce the number of iterations during the system’s design. The data streams present a possible approach to the holistic scheduling and dispatching in real-time distributed systems where different types of analysis that correlate the various parameters are done. The results can be used to define the level of buffering that is required at each node of the distributed system. In FTT-based distributed systems it is possible to implement a centralized holistic scheduling, taking into consideration the interdependences between producer/consumer tasks and messages. A set of constraints that guarantee the system feasibility can then be derived from tasks and messages’ parameters such as the periods and execution/transmission times. In this thesis the net-centric perspective, i.e., the one in which the scheduling of messages is done prior to the scheduling of tasks, and the node-centric perspectives are studied. A simple mechanism to dispatch tasks and messages for CAN-based distributed systems is also proposed in this work. This mechanism extends the one that exists in the FTT for the dispatching of messages. The study of the implementation of this mechanism in the nodes gave birth to the specification of a kernel. A goal for this kernel was to achieve a low overhead so that it could be included in nodes with low processing power. In this work a simulator to preview the timeliness of the transmission of messages and of the execution of tasks in a distributed system is presented. The inputs to the simulator are the so-called data streams, which include the producer tasks, the correspondent messages and the tasks that use the transmitted data. Using the worst-case execution time and transmission time, the simulator is able to verify if deadlines are fulfilled in every node of the system and in the network.Escola Superior de Tecnologia de Castelo BrancoPRODEP III, eixo 3, medida 5, acção 5.3FCTSAPIENS99 - POSI/SRI/34244/99IEETA da Universidade de AveiroARTIST - European Union Advanced Real Time System

Mobile Networks

The growth in the use of mobile networks has come mainly with the third generation systems and voice traffic. With the current third generation and the arrival of the 4G, the number of mobile users in the world will exceed the number of landlines users. Audio and video streaming have had a significant increase, parallel to the requirements of bandwidth and quality of service demanded by those applications. Mobile networks require that the applications and protocols that have worked successfully in fixed networks can be used with the same level of quality in mobile scenarios. Until the third generation of mobile networks, the need to ensure reliable handovers was still an important issue. On the eve of a new generation of access networks (4G) and increased connectivity between networks of different characteristics commonly called hybrid (satellite, ad-hoc, sensors, wired, WIMAX, LAN, etc.), it is necessary to transfer mechanisms of mobility to future generations of networks. In order to achieve this, it is essential to carry out a comprehensive evaluation of the performance of current protocols and the diverse topologies to suit the new mobility conditions

Energy Efficiency

This book is one of the most comprehensive and up-to-date books written on Energy Efficiency. The readers will learn about different technologies for energy efficiency policies and programs to reduce the amount of energy. The book provides some studies and specific sets of policies and programs that are implemented in order to maximize the potential for energy efficiency improvement. It contains unique insights from scientists with academic and industrial expertise in the field of energy efficiency collected in this multi-disciplinary forum

Stochastic geometric analysis of energy efficiency in two-tier heterogeneous networks

The exponential growth in the number of users of cellular mobile networks (and their requirements) has created a massive challenge for network operators to cope with demands for coverage and data rates. Among the possible solutions for the ever increasing user needs, the deployment of Heterogeneous Networks (HetNets) constitutes both a practical and an economical solution. Moreover, while the typical approach for network operators has been to consider the coverage and data rates as design parameters in a network, a major concern for next generation networks is the efficiency in the power usage of the network. Therefore, in recent years the energy efficiency parameter has gathered a great deal of attention in the design of next generation networks. In the context of HetNets, while the densification of the network in terms of the number of base stations deployed can potentially increase the coverage and boost the data rates, it can also lead to a huge power consumption as the energy used escalates with the number of base stations deployed. To this end, the purpose of this thesis is to investigate the energy efficiency performance of different deployment strategies in a HetNet consisting of macro- and femtocells. We make use of well established tools from stochastic geometry to model the different strategies, as it provides a theoretical framework from which the scalability of the network in terms of the design parameters can be taken into account. Those strategies consisted first, on the analysis of the effect of using multiple antennas and diversity schemes on both, the throughput and the energy efficiency of the network. The optimum diversity schemes and antenna configurations were found for an optimal energy efficiency while keeping constraints on the quality of Service of both tiers. Then, the effect of the vertical antenna tilt was analyzed for both, a traditional macrocell only network and a two-tier network. The optimum antenna tilt in terms of energy efficiency was found while keeping constraints on the Quality of Service required. Finally, an energy efficient deployment of femtocells was proposed where the smart positioning of femtocells derived into improvements of coverage probability, effective throughput and energy efficiency of the network. The proposed model also improved in general the performance of the cell edge user which in turn resulted in a more balanced network in terms of the overall performance

Network dimensioning and base station on/off switching strategies for sustainable deployments in remote areas

This paper provides a methodology for the dimensioning of the access network in remote rural areas, considering the progressive introduction of cellular services in these regions. A 3G small cell (SC) network with one or several carriers deployed at the SC, fed with solar panels and connected to a backhaul with limited capacity is considered for the analysis. Because the backhaul may be inexistent or very expensive (e.g., satellite-based backhaul) the network design pursues the minimization of the required backhaul bandwidth. The required backhaul bandwidth and the required energy units (i.e., the size of the solar panels and the required number of batteries) are then obtained as an output of the dimensioning analysis. Both the backhaul minimization objective and the constraints associated with each of the carriers (low maximum radiated power and low number of users connected simultaneously) require a novel methodology compared to the classical dimensioning techniques. We also develop a procedure for switching on/off carriers in order to minimize the energy consumption without affecting the quality of service (QoS) perceived by the users. This technique allows reducing the required size of the energy units, which directly translates into a cost reduction. In the development of this on/off switching strategy, we first assume perfect knowledge of the traffic profile and later, we develop a robust Bayesian approach to account for possible error modeling in the traffic profile information.Peer ReviewedPostprint (published version