R. A. de Oliveira Neto

Opportunistic distributed power control with QOS guarantee in wireless communication systems

The decentralized power control problem in a generic wireless communication system can be seen as a competition between the communication nodes. In this paper, we formulate a new framework to the problem with the application of noncooperative game theory and opportunistic resource allocation concepts, where the satisfaction of Quality of Service (QoS) requirements is considered. Analytical and simulation results indicate the good performance of the proposed algorithm in terms of convergence, QoS satisfaction and energy efficiency.

Performance of Energy Efficient Game Theoretical-Based Power Control Algorithm in WCDMA

In this contribution game theory concepts are applied to the decentralized power control problem in a WCDMA wireless data system. We propose a new distributed power control algorithm which is derived from the formulation of the power control problem as a static multi-stage nonzero-sum noncooperative game. It performs the choice of a suitable operation point, improving the overall system performance in an energy efficient manner

Performance evaluation of access selection algorithms for VoIP on wireless multi-access networks

The tendency of wireless communication systems beyond 3G is the wireless multi-access (MA) environment, which is characterized by the integration of different radio access networks (RANs). Parallel to the wireless network evolution, Voice over Internet Protocol (VoIP) is one of the fastest growing Internet real-time applications. Implementation of VoIP over a multi-access network requires the incorporation of efficient resource allocation strategies, namely, common radio resource management (CRRM), in order to meet the optimum combined network performance. In this paper, we propose access selection (AS) algorithms for MA networks and evaluate their performance for VoIP service. Conventional AS algorithms are taken as reference.

Conception and evaluation of access selection algorithms for cooperative beyond 3G systems

As wireless technology evolve, we are seeing a tendency toward cooperative composite networks in which the diversity user demands can be properly met. The radio resource management (RRM) in such a network paradigm is a fascinating field of study and finding a cost-effective RRM solution is one of the greatest challenge faced by scientists today. This paper proposes an investigation of the access selection (AS) algorithms for the multi-access networks, aiming to indicate possible solutions based on actual radio resource consumptions and requirements. We assume that different radio access networks (RANs) are run by a single operator or a set of cooperative operators for which a proper inter-RAN signaling architecture is installed.

Energy efficiency improved game-theoretic distributed power control algorithm for best effort services in wireless communications systems

Wireless communications systems have transmitter power control as an essential tool for managing radio resources. Decentralized power control is of special interest and may be characterized as a competition among the communication nodes. This indicates the adequacy of the application of noncooperative game theory concepts to the problem. In this work, we formulate a general framework to the distributed power control problem, derive a power control algorithm and use a simple prediction method to improve its performance.

Impact of intelligent access selection algorithms in cooperative wireless networks

Future generation of wireless networks will solicit the cooperation of heterogeneous Radio Access Networks (RANs) in order to provide multimedia traffic to different classes of users with varying Quality of Service (QoS) requirements over regions and time zones. The use of such RANs as subsystems of a larger wireless network, i.e, a multi-access network, claims for an Access Selection (AS) scheme to coordinate the load sharing so as to meet the optimum combined network performance. Depending on the individual subsystem capacities, the traffic load conditions and the subsystem channel quality, an intelligent AS algorithm can provide capacities beyond the sum of the subsystems capacities. This paper addresses the issue of the AS in the context of multi-access networks. We intend to provide an analytical formulation which indicates the suitable/unsuitable scenarios for employment of an intelligent AS strategy. The usability of the proposed qualitative studies are demonstrated by means of simulations.

Attractiveness of Intelligent Access Selection for Multi-Access Beyond 3G Wireless Networks

Future generation of wireless networks will solicit the cooperation of heterogeneous radio access networks (RANs) in order to provide multimedia traffic to different classes of users with varying quality of service (QoS) requirements over regions and time zones. The use of such RANs as subsystems of a larger wireless network, i.e, a multi-access network, claims for an access selection (AS) scheme to coordinate the load sharing so as to meet the optimum combined network performance. Depending on the individual subsystem capacities, the traffic load conditions and the subsystem channel quality, an intelligent AS algorithm can provide capacities beyond the sum of the subsystems capacities. This paper addresses the issue of the AS in the context of multi-access networks. We intend to provide an analytical formulation which indicates the suitable/unsuitable scenarios for employment of an intelligent AS strategy. The usability of the proposed qualitative studies are demonstrated by means of simulations

performance of energy efficient game theoretical-based power control algorithm in a discrete power environment

Transmitter power control is an essential tool for managing the interference in a system constituted by a set of communications nodes. In the absence of a central controller, the decentralized power control is of special interest and may be characterized as a competition among the communication nodes. This indicates the adequacy of the application of noncooperative game theory concepts to the problem. The continuous domain for transmit power is usually assumed, although, in practice, digitally power controlled systems work with discrete power levels. In this work we evaluate the performance of a distributed power control algorithm which is derived from the formulation of the power control problem as a static multi-stage nonzero- sum noncooperative game. Continuous and discrete domains for transmit power are considered.