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In this paper, we apply distributed optimization dynamics of the mutually connected neural networks to RAN selection in heterogeneous type cognitive wireless networks. We evaluate the performance of the proposed approach by implementing it on an experimental heterogeneous wireless network system called Cognitive Wireless Cloud, which supports vertical handover between different radio access networks...
Cognitive radio (CR) is a promising technology that can be a solution for the frequency scarcity problem of the wireless mesh network operating on multiple channels. In this paper, we investigate the joint channel assignment and routing in CR-based wireless mesh networks (CRWMNs) for better coexistence with primary users and other CR networks. We formulate an optimization problem with the objective...
In this paper, we investigate the issue of cooperative node selection in MIMO communications for wireless ad hoc/sensor networks, where a source node is surrounded by multiple neighbors and all of them are equipped with a single antenna. Given energy, delay and data rate constraints, a source node dynamically chooses its cooperating nodes from its neighbors to form a virtual MIMO system with the destination...
In this paper, we consider joint optimization of end-to-end data transmission and resource allocation for Wireless-Infrastructured Distributed Cellular Networks (WIDCNs), where each base station (BS) in a cell is connected with its neighboring BSs via wireless links, and a mobile station (MS) can access one or multiple adjacent BSs simultaneously through time-varying OFDMA channels. The communications...
This paper investigates the problem of multiuser packet scheduling and resource allocation for video transmission over downlink OFDMA networks. A cross-layer optimization function is proposed with the goal to maximize the received video quality. Unlike the previous methods in which the objective function is estimated the video quality in the unit of bit, the proposed algorithm develop the objective...
The paper develops a web-based system for dynamic vehicle routing problem. After proposing the architecture of the system, we develop a dynamic route evaluation model for modeling the responses of vehicles to real-time traffic information, and use a hybrid optimization algorithm to plan the routes of vehicles in dynamic network. The input data of the system includes route attributes provided via a...
A joint congestion control, channel allocation and scheduling algorithm for multi-channel multi-interface multi- hop wireless networks is discussed. The goal of maximizing a utility function of the injected traffic, while guaranteeing queue stability, is defined as an optimization problem where the input traffic intensity, channel loads, interface to channel binding and transmission schedules are...
Traffic routing plays a critical role in determining the performance of a wireless mesh network. To investigate the best solution, existing work proposes to formulate the mesh network routing problem as an optimization problem. In this problem formulation, traffic demand is usually implicitly assumed as static and known a priori. Contradictorily, recent studies of wireless network traces show that...
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