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The majority of M-learning (Mobile learning) applications available today are developed for the formal learning and education environment. These applications are characterized by the improvement in the interaction between learners and instructors to provide high interaction and flexibility to the learning process. M-learning is gaining increased recognition and adoption by different organizations. With the high number of M-learning applications available today, making the right decision about which, application to choose can be quite challenging. To date there is no complete and well defined set of system characteristics for such M-learning applications. This paper presents system quality characteristics for selecting M-learning applications based on the result of a systematic review conducted in this domain.

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The 3G UMTS is currently undergoing inherent changes. The expected reIease 5 & 6 of UMTS will coiitain a new set of features knoww collectively as High Speed Downlink Packet Access (HSDPA). In this paper, we propose two packet scheduling algorithms for HSLPA, Shortest Queue First (SQF) and Longest Queue First (LQF), to provide prio1-ir-y scheduling between services of digeer-ent Quality of Service @OS) classm and fairness bemeen users within rhe sarite class. Simulation resultsshow that the proposed algorithnis meet QoS requirements of digererent trufic classes, with the SQF algoritlini having a better performance conipared to the LQF algor*ithm.

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