Abstract Next generation wireless network (NGWN) will be composed of multiple radio access technologies (RATs) and domains. Radio network selection (RNS) is the mechanism which decides how to select the most suitable RAT based on the discovered accesses, QoS constraints, operator policies, user preferences and available system capacity and utilization. Optimizing the selection process is an important issue of research, which... Next generation wireless network (NGWN) will be composed of multiple radio access technologies (RATs) and domains. Radio network selection (RNS) is the mechanism which decides how to select the most suitable RAT based on the discovered accesses, QoS constraints, operator policies, user preferences and available system capacity and utilization. Optimizing the selection process is an important issue of research, which leads to reduction of network signalling and mobile device power loss and on the other hand improves network quality of service (QoS) and grade of service (GoS). This paper presents and designs a multi criteria RNS solution that considers an environment with a co-existed WWAN, WMAN, and WLAN. The developed solution contains two modules. The first module resides in the user terminal. It contains a network-assisted terminal-controlled algorithm to reflect the user viewpoint in the selection process. The second module resides in the common radio resource management (CRRM) entity. It contains a terminal-assisted network-controlled algorithm to reflect the operator viewpoint of the selection decision. The developed solution uses a combined parallel fuzzy logic control and Multi-criteria decision making (MCDM) system to achieve scalable, flexible, general, and adaptable solution. The simulation results show that our solution has better and more robust performance over several reference algorithms. Read More Read Less

Abstract Less than two thirds of the world population have access to improved sanitation facilities. This number shows a great disparity between regions when looking at the global picture. The most alarming problem is observed in Southern Asia, followed by Eastern Asia and Sub-Saharan Africa. There is a wide variety of sanitation problems being faced in the world and one of... Less than two thirds of the world population have access to improved sanitation facilities. This number shows a great disparity between regions when looking at the global picture. The most alarming problem is observed in Southern Asia, followed by Eastern Asia and Sub-Saharan Africa. There is a wide variety of sanitation problems being faced in the world and one of the most important among them is the lack of piped sewer systems. A lot of attention was focused on the optimal design of storm sewer networks in the past decades. Storm water networks, specifically, can be considered an essential part of the infrastructure of any society. Every aspect involved in the construction and maintenance of these networks requires a huge amount of investment. In general, the lack of sanitation facilities occurs due to the high cost involved at the implantation. The present work proposes a computational evolutionary environment aiming to provide an optimal decision regarding the implantation of piped sewer systems. The method uses Genetic Algorithms and Information Visualization concepts, and has as a main goal presenting an alternative method that may be used to improve the sanitation statistics by covering a larger area with piped sewer systems, and most of all, reducing the costs and impact of the implantation. Read More Read Less

Abstract Effective and efficient job scheduling is an important aspect of Grid computing. Task scheduling becomes more complicated in a Grid environment, due to geographically distribution, heterogeneity and dynamic nature of grid resources. In this paper, a new computational job scheduling policy based on Nash Equilibrium is proposed. The jobs are put into scheduling queue based on priority. This priority is... Effective and efficient job scheduling is an important aspect of Grid computing. Task scheduling becomes more complicated in a Grid environment, due to geographically distribution, heterogeneity and dynamic nature of grid resources. In this paper, a new computational job scheduling policy based on Nash Equilibrium is proposed. The jobs are put into scheduling queue based on priority. This priority is computed by the amount the grid user is willing to pay. Our solution is based on the Nash Bargaining Solution which provides a Pareto optimal solution for the distributed system and is also a fair solution to the problem under consideration. One of the goals of our work is to provide fairness to the customers i.e., all the users and their jobs should experience approximately equal expected response time which includes the expected queuing delay, processing time, and communication delay. As another part of our goal, we try to maximize the revenue levels for the grid owners. This scheduling policy is simulated using Alea GridSim toolkit to test the performance. Read More Read Less

Abstract Recent studies on the capacity of multiple-input-multiple-output (MIMO) channels have focused on the effect of spatial correlation. This paper is presenting a comparative study between the performances of conventional terrestrial multicell Multiple Input Multiple Output (MIMO) working in a Rayleigh fading environment and its corresponding High Altitude Platform (HAP) system working under a different Path Loss (PL) model with the... Recent studies on the capacity of multiple-input-multiple-output (MIMO) channels have focused on the effect of spatial correlation. This paper is presenting a comparative study between the performances of conventional terrestrial multicell Multiple Input Multiple Output (MIMO) working in a Rayleigh fading environment and its corresponding High Altitude Platform (HAP) system working under a different Path Loss (PL) model with the capacity as the performance metric of interest, calculated using the Singular Value Decomposition (SVD). The theoretical cases are shown to be accurate by comparison with simulation results, both systems are assumed to be affected by cochannel interference users in other cells. Simulation results show that the performance of multicell MIMO HAP dependent system outperforms its corresponding that works in terrestrial environment in terms of per user channel capacity. Read More Read Less