Internet of Things (IoT) refers to the interconnection of uniquely identifiable smart devices which enables them to participate more actively in everyday life. Among large-scale applications, machine-type communications (MTC) supported by cellular networks will be one of the most important enablers for the success of IoT. The existing cellular infrastructure has been optimized for serving a small number of long-lived human-oriented communications (HoC) sessions, originated from smartphones whose batteries are charged in a daily basis. As a consequence, serving a massive number of non-rechargeable machine-type devices demanding a long battery lifetime is a big challenge for cellular networks. The present work is devoted to energy consumption modeling, battery lifetime analysis, and lifetime-aware network design for massive MTC services over cellular networks. At first, we present a realistic model for energy consumption of machine devices in cellular connectivity, which is employed subsequently in deriving the key performance indicator, i.e. network battery lifetime. Then, we develop an efficient mathematical foundation and algorithmic framework for lifetime-aware clustering design for serving a massive number of machine devices. Also, by extending the developed framework to non-clustered MTC, lifetime-aware uplink scheduling and power control solutions are derived. Finally, by investigating the delay, energy consumption, spectral efficiency, and battery lifetime tradeoffs in serving coexistence of HoC and MTC traffic, we explore the ways in which energy saving for the access network and quality of service for HoC traffic can be traded to prolong battery lifetime for machine devices. The numerical and simulation results show that the proposed solutions can provide substantial network lifetime improvement and network maintenance cost reduction in comparison with the existing approaches. / <p>QC 20161103</p>

Recent studies have shown that there are currently more than 1.08 billion of Smartphones in the world, with around 89% of them used throughout the day. On average each of these users transfers more than 450 Mbytes per month via either a cellular network or a Wi-Fi network. So far it has been up to the user to decide which one of these two networks to use at each particular moment. In this master’s thesis, the potential energy savings that could be achieved by means of automating the choice of network interface are explored. This way, the user equipment itself would be able to initiate handovers from one radio access technology to another depending on each particular service and on the environmental conditions, and hence it could extend its battery life. The work has focused in energy efficient vertical handovers (VHOs) between Long-Term Evolution (LTE) and Wi-Fi networks. The rapid growth and increasing interest in LTE networks have been the main reasons why these networks have been chosen over Third Generation Mobile Networks. Nevertheless this work can be easily extended to other radio access technologies such as WiMAX (Worldwide Interoperability for Microwave Access) or UMTS (Universal Mobile Telecommunication System). During the thesis project, the potential energy savings via VHOs depending on the type of service have been studied, as well as the different processes involved in a handover decision process. In order to do so, an energy consumption profile of each interface has been built, the different services have been modeled, and a heterogeneous scenario with Wi-Fi and LTE networks has been simulated. The thesis presents how these savings change within each service and with the environmental conditions (network load, interferences). The results show that large energy savings can be achieved. Nevertheless, the potential savings for each different user device can significantly differ. The VHO decision process includes two main aspects that need further study: investigating energy efficient ways of discovering accessible Wi-Fi access points and measuring the available throughput in each network at the moment of the decision. In addition, within LTE-Advanced and HetNets (Heterogeneous Networks), a lot of research regarding how LTE operators can offload traffic to smaller networks is being performed. These smaller networks consist basically of LTE micro cells and Wi-Fi. Both the energy savings and the potential energy expenses of offloading different kinds of traffic to a Wi-Fi network were also studied in this master’s thesis project, using the same approach described in the previous two paragraphs. / Enligt beräkningar så finns det nu mer än 1.08 miljarder smarta telefoner i världen, och ungefär 89% av dem används varje dag. Varje användare överför mer än 450 megabyte per månad i genomsnitt, antingen via cellulära mobilnät eller Wi-Fi. För närvarande är det användaren som avgör vilket av dessa interface som ska användas vid varje tidpunkt. I detta examensarbete utvärderas vilka energibesparingar som kan uppnås genom att automatisera valet av nätverksinterface. På detta vis skulle den mobila enheten själv utföra handover från en radioaccessteknik till en annan beroende på aktiva tjänster och på radioomgivningen, och därmed utöka batteriets livstid. Detta examensarbete fokuserar på vertikal handover mellan LTE och Wi-Fi nätverk. Den snabba tillväxten och det ökande intresset för LTE är den främsta anledningen till att LTE har valts istället för 3G. Det är dock möjligt att med små förändringar generalisera arbetet till andra radioaccesstekniker, till exempel WiMAX eller UMTS. De potentiella energibesparingarna genom vertikala handovers för olika typer av tjänster har studerats, liksom de olika stegen i handover-beslutsprocessen. För detta syfte har en energikonsumtionsprofil skapats för varje interface, de olika tjänsterna har modellerats och ett scenario med Wi-Fi- och LTE-nätverk har simulerats. Denna rapport beskriver hur dessa energibesparingar ändras för varje tjänstetyp och med ändringar av omgivningen (nätverkslast och interferens). Resultaten har visat att stora energibesparingar kan uppnås, även om dessa besparingar kan variera mycket för olika UEs. Beslutet om vertikal handover inkluderar två huvudsakliga aspekter som kräver fortsatta studier: energieffektiva metoder för att upptäcka tillgängliga WiFi-accesspunkter som går att ansluta sig till och mätning av den upplevda datahastigheten i varje nätverk före beslutet om vertikal handover tas. Parallelt med detta examensarbete pågår omfattande studier om hur mobiloperatörer kan avlasta datatrafik till basstationer med kortare räckvidd. Dessa småskaliga nätverk förväntas bestå av LTE mikro/pico celler och/eller Wi-Fi nätverk. Detta examensarbete inkluderar även studier av de potentiella energibesparingar eller energikostnader för att avlasta olika slags trafik till Wi-Fi nätverk.