WiMAX-WiFi techniques for baseband convergence and routing protocols

Al-Sherbaz, A. (2010)
 WiMAX-WiFi techniques for baseband convergence and routing protocols. 
Doctoral thesis. The University of Buckingham.

Abstract
The focus of this study was to investigate solutions that, when implemented in any heterogeneous wireless network, shall enhance the existing standard and routing protocol connectivity without impacting the standard or changing the wireless transceiver’s functions. Thus achieving efficient interoperability at much reduced overheads. The techniques proposed in this research are centred on the lower layers. This because of the facts that WiMax and WiFi standards have not addressed the backward compatibility of the two technologies at the MAC and PHY layers, for both the baseband functions as well as the routing IP addresses. This thesis describes two innovate techniques submitted for a PhD degree. The first technique is to combine WiMax and WiFi signals so to utilise the same "baseband implementation chain" to handle both of these technologies, thus insuring ubiquitous data communication. WiMax-WiFi Baseband Convergence (W2BC) implementation is proposed to offer an optimum configurable solution targeted at combining the 802.16d WiMax and the 802.11a WiFi technologies. This approach provides a fertile ground for future work into combining more OFDM based wireless technologies. Based on analysis and simulation, the W2BC can achieve saving in device cost, size, power consumption and implementation complexity when compared to current side-by-side implementations for these two technologies. The second technique, called "Prime-IP", can be implemented with, and enhance, any routing protocol. During the route discovery process, Prime-IP enables any node on a wireless mesh network (WMN) to dynamically select the best available route on the network. Prime-IP proposes a novel recursive process, based on prime numbers addressing, to accumulate knowledge for nodes beyond the “neighbouring nodes”, and to determine the sequence of all the “intermediate nodes” used to form the route.

To read the thesis go to: http://nectar.northampton.ac.uk/4241/1/AlSherbaz20104241.pdf
Contact Ali.Al-Sherbaz@northampton.ac.uk


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Cricket AI - Artificial Intelligence in a Framework

Samuel Gibbs

 The task that has been undertaken in this project is that of determining what type of artificial intelligence is the best one to be used in a cricket game. The aimed type of cricket simulator is one for the twenty over (Twenty20) format because this is the newest and as a result least well simulated (in the author’s opinion) of all the formats of cricket by commercially available simulators and games.  The project is using Sun Microsystems Java as the programming language of choice. This will be done by testing a variety of artificial intelligence techniques and finding out which is best.  Also, by building the framework itself, working out what features it needs to make it playable and interesting. These will include at least artificial intelligences that can play the game against a human and if possible a way of selecting which players will play the game. There will also be some technical research done into the different artificial intelligence techniques to help decide which methods should be attempted. To make the framework better there will be testing done of other commercial products in the cricket management and simulator field, this will also give a better understanding of what should be included within the project. The simulator should simulate a game if cricket with batting, bowling and fielding all simulated. The game simulated will initially be between England and Australia, although there is no reason why other teams couldn’t be used.

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