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The Covid-19 pandemic has challenged educators across the world to move their teaching and mentoring from in-person to remote. During nonpandemic semesters at their institutes (e.g. universities), educators can directly provide students the software environment needed to support their learning - either in specialized computer laboratories (e.g. computational chemistry labs) or shared computer spaces. These labs are often supported by staff that maintains the operating systems (OS) and software. But how does one provide a specialized software environment for remote teaching? One solution is to provide students a customized operating system (e.g., Linux) that includes open-source software for supporting your teaching goals. However, such a solution should not require students to install the OS alongside their existing one (i.e. dual/multi-booting) or be used as a complete replacement. Such approaches are risky because of a) the students' possible lack of software expertise, b) the possible disruption of an existing software workflow that is needed in other classes or by other family members, and c) the importance of maintaining a working computer when isolated (e.g. societal restrictions). To illustrate possible solutions, we discuss our approach that used a customized Linux OS and a Docker container in a course that teaches computational chemistry and Python3.
SDN and WMN evolved to be sophisticated technologies used in a variety of applications. However, a combined approach called wmSDN has not been widely addressed in the research community. Our idea in this field consists of WiFi-based point-to-point links managed by the OpenFlow protocol. We investigate two different issues regarding this idea. First, which WiFi operational mode is suitable in an OpenFlow managed broadcast domain? Second, does the performance decrease compared with other routing or switching principles? Therefore, we set up a real-world testbed and a suitable simulation environment. Unlike previous work, we show that it is possible to use WiFi links without conducting MAC address rewriting at each hop by utilizing the 4-address-mode.
Exemplarische Untersuchungen zum Potenzial von LTE zur Breitbandversorgung ländlicher Regionen
(2010)
Anhand von Funkfeldmessungen in mehreren ausgewählten Orten im Hochsauerlandkreis wird die Frage diskutiert, welchen Beitrag der Aufbau eines LTE-Netzes zur Breitbandversorgung von bisher unterversorgten Gebieten im ländlichen Raum liefern kann - und dies unter Verwendung bestehender GSM-Basisstationsstandorte und dem Frequenzbereich der Digitalen Dividende. Für verschiedene Szenarien werden Empfangspegelstatistiken mit geforderten Empfängerempfindlichkeiten verglichen, Statistiken zur zu erwartenden Datenraten abgeleitet und Netzkapazitäten abgeschätzt. Dabei zeigt sich, dass i. A. sowohl der Empfangspegel als auch die Netzkapazität ausreichen, um mittels LTE eine genügende Zahl von Anschlüssen mit einer Downlink-Datenrate von mindestens 1 Mbit/s in den untersuchten Ortschaften bereit zu stellen. Hohe Versorgungsgrade mit Datenraten von 50 Mbit/s sind jedoch nicht zu erwarten. Durch eine Außeninstallation der Endgeräteantennen lassen sich auch bei 2600 MHz nahezu optimale Empfangsbedingungen erzielen. Insofern scheint ein Mischbetrieb mit Frequenzen im 800- und im 2600-MHz-Bereich geeignet, die Netzkapazität auch im ländlichen Raum zu erhöhen.
This work describes extensions to the well-known Distributed Coordination Function (DCF) model to account for IEEE802.11n point-to-point links. The developed extensions cover adaptions to the throughput and delay estimation for this type of link as well peculiarities of hardware and implementations within the Linux Kernel. Instead of using simulations, the approach was extensively verified on real-world deployments at various link distances. Additionally, trials were conducted to optimize the CWmin values and the number of retries to maximize throughput and minimize delay. The results of this work can be used to estimate the properties of long-distance 802.11 links beforehand, allowing the network to be planned more accurately.
Die Erfindung betrifft ein System (1) zum Ausrichten einer Richtfunkantenne (a1) auf eine weitere Richtfunkantenne (a2). Das System weist ein Positioniermittel (P) auf, welches an einem vom Ort der auszurichtenden Richtfunkantenne (a1) und vom Ort der weiteren Richtfunkantenne (a2) verschiedenen Ort positioniert ist, wobei der Ort des Positioniermittels (P) vom Ort der auszurichtenden Richtfunkantenne (a1) aus einsehbar ist. Erfindungsgemäß umfasst das System (1) ferner ein Berechnungsmittel (L), das ausgebildet ist, einen Ausrichtungsfehler (α) der auszurichtenden Richtfunkantenne (a1) zu bestimmen, wobei der Ausrichtungsfehler (α) einen Winkel angibt, der zwischen einer ersten virtuellen Geraden (g1), welche den Ort der auszurichtenden Antenne (a1) und den Ort der weiteren Richtfunkantenne (a2) beinhaltet, und einer zweiten virtuellen Geraden (g2), welche den Ort der auszurichtenden Antenne (a1) und den Ort des Positioniermittels (P) beinhaltet, liegt.
Evaluation and Optimization of IEEE802.11 multi-hop Backhaul Networks with Directional Antennas
(2020)
A major problem for rural areas is the inaccessibility to affordable broadband Internet connections. In these areas distances are large, and digging a cable into the ground is extremely expensive, considering the small number of potential customers at the end of that cable. This leads to a digital divide, where urban areas enjoy a high-quality service at low cost, while rural areas suffer from the reverse.
This work is dedicated to an alternative technical approach aiming to reduce the cost for Internet Service Provider in rural areas: WiFi-based Long Distance networks. A set of significant contributions of technology related aspects of WiFi-based Long Distance networks is described in three different fields: Propagation on long distance Wi-Fi links, MAC-layer scheduling and Interference modeling and Channel Assignment with directional antennas.
For each field, the author composes and discusses the state-of-the-art. Afterwards, the author derives research questions and tackles several open issues to develop these kinds of networks further towards a suitable technology for the backhaul segment.
Urban LoRa networks promise to provide a cost-efficient and scalable communication backbone for smart cities. One core challenge in rolling out and operating these networks is radio network planning, i.e., precise predictions about possible new locations and their impact on network coverage. Path loss models aid in this task, but evaluating and comparing different models requires a sufficiently large set of high-quality received packet power samples. In this paper, we report on a corresponding large-scale measurement study covering an urban area of 200km2 over a period of 230 days using sensors deployed on garbage trucks, resulting in more than 112 thousand high-quality samples for received packet power. Using this data, we compare eleven previously proposed path loss models and additionally provide new coefficients for the Log-distance model. Our results reveal that the Log-distance model and other well-known empirical models such as Okumura or Winner+ provide reasonable estimations in an urban environment, and terrain based models such as ITM or ITWOM have no advantages. In addition, we derive estimations for the needed sample size in similar measurement campaigns. To stimulate further research in this direction, we make all our data publicly available.