So I’ve been doing my PhD for over two years now, and I haven’t posted a reflective “state of the thesis” post in quite some time, so here it is. I have maxed out my 50 pages (not included ToC and references) for some time now, it’s just been in the process of revision for the last month or so! I have more or less settled on what my research actually is now and am getting a clearer picture of it in my head all the time.
Officially the topic is “Radio Resource Management for Quality of Service in Heterogeneous Wireless Networks”. This is quite the mouthful, I know. Really what it boils down to is: Making various wireless technologies (Bluetooth, WiFi, WiMAX, 3G, 4G, … , etc) seamlessly work together. Many devices are capable of connecting to many of these radio access technologies (RATs), but often it is not seamless. What do I mean by this? Well suppose I am inside a university building, deep in the basement (where they tend to put CS students :P ) where there is no mobile reception (3G, 4G etc.). I start downloading a large file, or call someone via wifi. Now I want to walk to my car because it’s time to go home for the day. Many networks now are not able to handle this, and it is interrupted after you change networks. Furthermore, you often have to manually tell the device you want to leave one network and join another. Seamless means this should all happen without you noticing. This is the focus of my research.
The biggest problem that I am concerned with is called handoff or handover. This is when the switch between RATs occurs. Traditionally, this also occurs when a mobile device switches from one tower to another, and it usually involved predicting the motion of the device along with some other factors for Quality of Service (QoS). For a vertical handover, we may or may not need to predict motion. If the heterogeneous wireless network (HWN) is densely covered, many RATs are available throughout the coverage region (as opposed to a sparsely covered where a given location may have access to one technology at once). In a dense HWN, the problem becomes a multi-criteria question.
More technical details to follow…
I've had a GitHub profile stats card for a while now, but I was never fully happy with it. The existing tools each had trade-offs that bugged me, so I ended up building my own by combining the best parts of three different projects. Here's how it went. The Problem There are a few popular projects fo...