Quality-of-Service (QoS) to users is a critical requirement of resource allocation in wireless networks and has drawn significant research attention over a long time. However, the QoS requirements differ vastly based on the wireless network paradigm. At one extreme, we have a millimeter wave small-cell network for streaming data that requires very high throughput and low latency. At the other end, we have Machine-to-Machine (M2M) uplink traffic with low throughput and low latency. In this dissertation, we investigate and solve QoS-aware resource allocation problems for diverse wireless paradigms. We first study cross-layer dynamic spectrum allocation in a LTE macro-cellular network with fractional frequency reuse to improve the spectral efficiency for cell-edge users. We show that the resultant optimization problem is NP-hard and propose a low-complexity layered spectrum allocation heuristic that strikes a balance between rate maximization and fairness of allocation. Next, we develop an energy efficient downlink power control scheme in a energy harvesting small-cell base station equipped with local cache and wireless backhaul. We also study the tradeoff between the cache size and the energy harvesting capabilities. We next analyzed the file read latency in Distributed Storage Systems (DSS). We propose a heterogeneous DSS model wherein the stored data is categorized into multiple classes based on arrival rate of read requests, fault-tolerance for storage etc. Using a queuing theoretic approach, we establish bounds on the average read latency for different scheduling policies. We also show that erasure coding in DSS serves the dual purpose of reducing read latency and increasing the energy efficiency. Lastly, we investigate the problem of delay-efficient packet scheduling in M2M uplink with heterogeneous traffic characteristics. We classify the uplink traffic into multiple classes and propose a proportionally-fair delay-efficient heuristic packet scheduler. Using a queuing theoretic approach, we next develop a delay optimal multiclass packet scheduler and later extend it to joint medium access control and packet scheduling for M2M uplink. Using extensive simulations, we show that the proposed schedulers perform better than state-of-the-art schedulers in terms of average delay and packet delay jitter. / PHD

This diploma thesis deals with the implementation of standard IEEE 802.11ah into network simulator NS-3. The first part of the diploma thesis describes M2M communication for which the standard IEEE 802.11ah would be suitable. M2M communication is being more and more used in the society, that is why there is an effort to develop a new standard for this type of communication. The thesis contains a description of this standard based on technical specifications brought out by the Task Group ah (TGah). Some changes have been made in NS-3 for the purpose of this thesis in order to support this standard. In the next part there is a created scenario with basic topology in NS-3 with usage of standard IEEE 802.11ah, in which the functionality of the standard is tested. The result of this diploma thesis is a description of the changes which have been made and analysis of the output files from the simulation.

Internet of Things is rapidly evolving. This thesis includes a study of single-board computers suitable for machine-to-machine communication together with the developing process of a sensor network integrated with a bidirectional communication platform. Raspberry Pi was selected as the single-board computer used in the proposed system. The Message Queuing Telemetry Transport protocol was selected as main communication protocol to handle all exchange of information between the network and the bidirectional communication platform. It was selected because of its reliability, low bandwidth and publish/subscribe architecture. Decision-making procedures were implemented to work with both local sensor data and data from different Message Queuing Telemetry Transport streams, such as GPS data, used to calculate the distance between the user’s smart phone and the office to prepare the workstation, temperature sensors and ambient light sensors controlling Philips HUE light bulbs. The finished sensor network was design to work within office environments to prepare workstations and monitor the work climate. The number of sensors connected to the single-board computer has a major impact in the CPU usage. Measurements and calculations show that 17 connected physical sensors will cause a CPU usage of 96%.

Keeping pace with the constantly changing surroundings is more important than ever as new game changing technologies appear faster than ever before. In the IT-sector a new technology known as Machine-to-Machine (M2M) Communication is emerging. The technology has been around for almost 15 years but still has not had the major breakthrough on the mainstream market that has been expected. The reasons for this are topics for speculations and debates since many people have different views and opinions on the matter. M2M Communication uses the Internet to connect machines with each other and gives them intelligence so they can communicate with each other and make their own decisions without human interference. Today the decisions the machines make concerns simple things such as temperature control, automatic CCTV monitoring, turning the lights on and off etc., but in the future M2M Communication technology advocates hope the it will be able to predict heart attacks even before they happen by implementing the M2M Communication technology into smart pacemakers sending an emergency signal to a nearby ambulance that a patient may soon suffer from a heart attack. The technology is also hoped to be used in cars where it will send an emergency signal to a Public-Safety Answering Point (PSAP) saying that a car accident has occurred, where it occurred and how many people that were in the car in order to reduce the number of road deaths. So as mentioned above the public can benefit from the technology once it is widely available. Today experts say that there is somewhere between 5 to 10 years before the technology in general has been adopted by 20 to 30 percent of the potential sectors, known as Connected Things (CT) and third or higher generation innovations are implemented. However, as this Master Thesis research shows, at least one sector has already reached 5 to 10 years into the future and adopted the M2M Communication technology. This sector is the building sector with their Connected Buildings (CB). It is a mature sector that is estimated to grow somewhere around 16 percent CAGR globally and around 13 percent CAGR in the Nordic region until somewhere around 2020. In this Master Thesis research the M2M Communication technology was analyzed specifically for the building sector with focus on Real Estate Management Companies (REMC) on the Swedish market. Interviews and surveys were conducted with the 50 largest (based on revenue) REMCs in order to illustrate their opinion on the M2M Communication technology and its usage and advantages in the building sector. Of the 50 REMCs asked to participate in the survey 16 replied giving a response rate of 32 percent. / Att hålla jämna steg med den konstant förändrande omgivningen är idag mer viktigt än någonsin eftersom nya förändrande tekniker dyker upp snabbare än någonsin innan. Inom IT-sektorn finns idag en ny teknik på framfart, en teknik som är känd som Maskin-till-Maskin (M2M) Kommunikation. Tekniken har funnits i snart 15 år men trots det har den fortfarande inte fått det genombrott på den generella marknaden som man kan förvända sig. Anledningarna för detta är fortfarande något som debatteras eftersom många fortfarande har olika åsikter. M2M Kommunikation använder sig av Internet som en resurs för att koppla ihop maskiner så att de kan ”prata” med varandra och ta egna beslut utan mänsklig inblandning. I dagsläget tar maskinerna enkla beslut såsom temperaturreglering, automatisk videoövervakning, slå på och stänga av lampor etc., men i framtiden hoppas man att M2M Kommunikation tekniken ska kunna hjälpa till att bl.a. förutspå hjärtattacker redan innan de händer genom att implementera M2M Kommunikationstekniken i smarta pacemakers som kan sända en nödsignal till en ambulans som berättar att en patient snart kommer att få en hjärtattack. Tekniken hoppas även kunna utnyttjas i bilar som vid en krock direkt skickar en nödsignal till larmcentralen med information om att en krock har ägt rum, var den har ägt rum och hur många som var i bilen i syfte att minska dödsfallen på vägarna. Som nämnt ovan verkar det som att tekniken har enorma fördelar för befolkningen men ändå har den inte haft något större genombrott. Idag säger experter att det kommer att ta ca 5 till 10 år innan teknologin har generellt blivit implementerad av 20 till 30 procent hos de potentiella sektorerna, kända som Connected Things (CT) och tredje generationens innovationer har blivit implementerade. Trots detta, vilket denna studie visar, så har minst en sektor redan nått 5 till 10 år fram i tiden och har redan implementerat M2M Kommunikationsteknologin. Denna sektor är byggnadssektorn med deras Connected Buildings (CB). Det är en mogen sektor som förväntas växa med ca 16 procent CAGR globalt och ca 13 procent CAGR i den nordiska regionen till år 2020. I denna studie var M2M Kommunikationsteknologin analyserad specifikt för byggnadssektorn med fokus på fastighetsskötarbolag på den svenska marknaden. Intervjuer och en enkät-undersökning genomfördes med de 50 största (baserat på omsättning) fastighetsskötarbolagen med syfte att illustrera deras åsikt gällande M2M Kommunikationsteknik och dess användning och fördelar inom byggnadssektorn. Av de 50 st. fastighetsskötarbolag som tillfrågades om de ville ställa upp i enkätundersökningen deltog 16 st. vilket gav en svars-frekvens på 32 procent.