Content-Aware User Clustering and Caching in Wireless Small Cell Networks

In this paper, the problem of content-aware user clustering and content caching in wireless small cell networks is studied. In particular, a service delay minimization problem is formulated, aiming at optimally caching contents at the small cell base stations (SCBSs). To solve the optimization problem, we decouple it into two interrelated subproblems. First, a clustering algorithm is proposed grouping users with similar content popularity to associate similar users to the same SCBS, when possible. Second, a reinforcement learning algorithm is proposed to enable each SCBS to learn the popularity distribution of contents requested by its group of users and optimize its caching strategy accordingly. Simulation results show that by correlating the different popularity patterns of different users, the proposed scheme is able to minimize the service delay by 42% and 27%, while achieving a higher offloading gain of up to 280% and 90%, respectively, compared to random caching and unclustered learning schemes.Comment: In the IEEE 11th International Symposium on Wireless Communication Systems (ISWCS) 201

The use of world knowledge in resolving semantic ambiguities

This thesis report investigates a central problem to natural language processing, namely the problem of semantic ambiguity. The type of semantic ambiguities that are considered are those that are generally resolved by speakers of a given language by relying on common knowledge. Typical of this is the problem of pronoun resolution. In this report we investigate the thesis that the semantic theory of Richard Montague can be extended to accommodate the use of world knowledge. We propose an extension to Montague\u27s notion of contexts of use, and to the meaning representation. Meanings are represented as complex structures containing several features including the denotation. The method uses these structures to build contexts, and discourse structures that are then used in the dialogue to resolve certain types of ambiguities. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1991 .S222. Source: Masters Abstracts International, Volume: 31-01, page: 0352. Thesis (M.C.Sc.)--University of Windsor (Canada), 1991