User Centered Design for Battlefield Screen

This thesis paper is a brief summary of user centered design, (particularly in the situation of under the battlefield), which incorporates the related information after reviewing many other papers. A display screen user requires an ability to provide proper information while considering a variety of information in a short period. While operating the display screen, the user is heavily pressed for time as the missions are allocated through many different steps of orders. In addition, since a failure would cause fatal damage or cause further defeat, this increases the pressure of time. The right environment for operating a display screen is most useful when the user is in the most vulnerable time period or long-term continuous operation of the display screen. In that kind of sterile environment, the operating display screen is there to help the user’s decisions for the matter at hand, in this it should follow the user centered design and improve the user’s handiness and use. Furthermore, the information should be provided in accordance with the user's informational and perceptional process, and the capacity of the information process should be improved with the movement through each process and step. This thesis paper can be used as a reference material when designing the display screen in order to apply a user’s experiences.

User Association in Ultra-Dense Small Cell Dynamic Vehicular Networks: A Reinforcement Learning Approach

Network densification is envisioned as one of the key enabling technologies in the next generation and beyond wireless networks to satisfy the demand of high coverage and capacity whilst deliver an ultra-reliable low latency communication services especially to the users on the move.One of the fundamental tasks in wireless networks is user association.In the case of ultra-dense vehicular networks,due to the dense deployment and small coverage of the eNodeBs,there may be more than one eNodeB that may simultaneously satisfy the conventional maximum radio signal strength user association criteria.In addition to this,the spatial-temporal vehicle distribution in dynamic environments contribute significantly towards the rapidly changing radio environment that substantially impacts the user association,therefore,the network performance and user experience.This paper addresses the problem of user association in dynamic environments by proposing intelligent user association approach,variable-reward,quality-aware Q-learning(VR-QAQL)that has an ability to strike a balance between the number of handovers per transmission and system performance whilst a guaranteed network quality of service is delivered.The VR-QAQL technique integrates the control-theoretic concepts and the reinforcement learning approach in an LTE uplink,using the framework of an urban vehicular environment.The algorithm is assessed using large-scale simulation on a highway scenario at different vehicle speeds in an urban setting.The results demonstrate that the proposed VR-QAQL algorithm outperforms all the other investigated approaches across all mobility levels.