Analysis of channel quality reporting mechanisms and their impact into 4G and beyond technologies

206 p.

The impacts of leadership in the quality of municipal public services: case study of a portuguese municipal council

[EN]The present research work, based on some of the components of the Common Assessment Framework, sets to analyse the influence held by leadership in specific factors that constitute the organisational climate, and also the impact that these factors have on the quality of municipal public services. For the purposes of this study, we propose Likert’s exploitative autocratic and participative leadership styles to explain the genesis, structure and workflow. As far as the organisational climate is concerned, the variables used are motivation, satisfaction, empowerment, conflict and stress. The main conclusions that arose was that a participative leader confers higher relevance to the quality of service, through motivation, satisfaction, empowerment and human resources positive results, than an exploitative autocratic leader. Performed contributions are based on the empiric research hereby presented, and new research guidelines are proposed. The research methodology used was qualitative, based on the case study.

Radio-aware service-level scheduling to minimize downlink traffic delay through Mobile Edge Computing

One of the most challenging problems in mobile broadband networks is how to assign the available radio resources among the different mobile users. Traditionally, research proposals are either speci c to some type of traffic or deal with computationally intensive algorithms aimed at optimizing the delivery of general purpose traffic. Consequently, commercial networks do not incorporate these mechanisms due to the limited hardware resources at the mobile edge. Emerging 5G architectures introduce cloud computing principles to add flexible computational resources to Radio Access Networks. This paper makes use of the Mobile Edge Computing concepts to introduce a new element, denoted as Mobile Edge Scheduler, aimed at minimizing the mean delay of general traffic flows in the LTE downlink. This element runs close to the eNodeB element and implements a novel flow-aware and channel-aware scheduling policy in order to accommodate the transmissions to the available channel quality of end users.