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Radio resource management (RRM) is widely regarded as a critical component in improving spectral efficiency of beyond third generation (3G) cellular air interfaces. Much of the published work in Orthogonal Frequency Division Multiplexing (OFDM) RRM focuses on exploiting multi-user, multi-channel and multi-application diversity. In this paper, we propose a Quality of Service (QoS)-aware bit scheduling...
The demand for higher data rates, capacity and better quality-of-service is constantly growing for home networks. Therefore, there is a pressing need for efficient use of wireless network resources. In this context, the application of cognitive radio principles that enable network nodes to characterize their environment and control their resources based on the acquired knowledge, is the prominent...
In this paper, an automatic network planner and optimizer are presented. Algorithms are developed to estimate a minimal number of access points needed to achieve a predefined throughput in the different rooms in a building, and to reduce the number of access points without reducing reception quality. The algorithms are applied to realistic building floor plans. Also, the concept of dynamic network...
Delivering desired QoS to the applications is one of the most important challenges in next generation networks. Designing efficient queue management in midway nodes leads to improvement in NGN efficiency. This paper presents fair Efficient active Queue Management (EQM) mechanism for congestion avoidance and control in next generation networks. Proposed AQM mechanism uses instantaneous queue length...
The evolution of network technologies brought increasing management complexity of networking infrastructure and protocols. Cognitive networking was introduced to deal with such complexity. This work presents a cognitive algorithm for cross-layer performance management which is the core of a decentralized framework for self-configuration of communication protocols. We illustrate the proposed solution...
In this paper, we investigate the convergence behavior of the primal-dual scaled gradient algorithm (PDSGA) for solving distributed network utility maximization problems under time-varying fading channels. Our analysis shows that the proposed PDSGA converges to a limit region rather than a point under FSMC channels. We also show that the asymptotic tracking errors are given by O(T̅/N̅), where T̅ and...
Automation of radio network management is a key determination to work reduction for wireless operators. Self configured and self optimized network is a major feature for Long term Evolution (LTE). This paper proposes a procedure for self optimization and continuous update procedure of GSM neighbor cell list in E-UTRAN system. This method makes use of mobile measurement to update the neighbor cell...
Online configuration of large-scale systems such as networks require parameter optimization to be done within a limited amount of time. This time limit is even more pressing when configuration is needed as a recovery response to a failure in the system. To quickly configure such systems in an online manner, we propose a Probabilistic Trans-Algorithmic Search (PTAS) framework which leverages multiple...
In the literature, many design parameters have been utilized in network optimization but till now little attention has been paid on the buffer management in the base station. In this paper, we propose a new power allocation algorithm suited for Dynamic Time Division Multiple Access (TDMA) scheme, that is based on the minimization of the total transmitted power under the constraint of ensuring the...
In this paper we discuss the viability of utility-based abstractions for network management. These can be used for estimation and optimization of the network performance. We consider utilities that are determined by the application type, but also take into account changing user and provider context. These metrics incorporate technical performance characteristics, economic and personal considerations...
We consider the problem of optimizing time averages in systems with independent and identically distributed behavior over renewal frames. This includes scheduling and task processing to maximize utility in stochastic networks with variable length scheduling modes. Every frame, a new policy is implemented that affects the frame size and that creates a vector of attributes. An algorithm is developed...
Future optical backbone networks will be able to dynamically reconfigure optical connections in a few minutes and migrate the routes of existing connections with little service interruption at the IP layer, using the optical bridge-and-roll technique. A high data-rate dynamic wavelength service for these networks will provide more flexible connection services to customers. A customer owns or leases...
As demands for higher data rates increase, DSL systems become incapable of keeping up due to the electromagnetic coupling present in the binders of the telephone lines. This electromagnetic coupling, known as crosstalk, is several orders greater in magnitude than the background noise. The reported techniques focusing on completely removing the crosstalk usually lead to computationally intensive solutions...
In order to face electricity consumption of a big telecommunication operator, a monitoring system to keep under control power absorption is needed. In this paper is presented a whole management platform based on Wireless Sensor Network, built by Telecom Italia, specifically focusing on lessons from the field learnt in two-year trial and trying to highlight business model standing behind the scene.
The information and communications technologies world is migrating towards the Future Internet (FI) era. Operators will have increased complexity to address in the FI era, compared to today, in the management of their infrastructure and services. This is due to the extended set of applications that should be supported and to the more options offered by the infrastructure. Cognitive management systems...
This paper presents the functionalities involved in enabling the use of compartments in wireless access networks for achieving capacity and coverage optimization. Compartments are defined as dynamic medium-term federations of collaborating elements for intelligent organizational purposes. The work presented in the paper uses compartments as a self-management apparatus for emerging wireless access...
Self-organization is a key factor for the future evolution of mobile networks, especially for introduction of the new radio standard LTE. Reasons are the increasing complexity, heterogeneity and management effort. Based on an overview about the current state of the art, the self-organization potential for enabling real plug and play functionality, automatic network optimization, improved end-to-end...
Using structured data formats like XML in wireless sensor networks to support exchangeability and heterogeneity on application level has become an important research topic in the area of large scale networked sensing systems. Besides, the usage of XML encourages the adaptation of service oriented programming techniques to simplify sensor network application engineering. While the sensor nodes still...
In this paper, we develop a novel framework that attempts to reduce network traffic for error-bounded data collection in wireless sensor networks. In many sensor applications, it is acceptable that the monitoring results evaluated based on collected data might deviate from the exact results; as long as the error is bounded by a certain threshold. One well-known technique for error-bounded data collection...
Numerous active queue management (AQM) schemes have been proposed to stabilize the queue length in routers, but most of them lack adequate adaptability to TCP dynamics, due to the nonlinear and time-varying nature of communication networks. To deal with the above problems, we propose an intelligent price-based congestion control algorithm named IPC. IPC measures congestion through using an intelligent...
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