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Your search keyword '"Saturnino, Daniela"' showing total 12 results
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12 results on '"Saturnino, Daniela"'

1. Energy-Efficient Resource Allocation in Multiuser MIMO Systems: A Game-Theoretic Framework

Author

Buzzi, Stefano, Poor, H. Vincent, and Saturnino, Daniela

Subjects
Computer Science - Information Theory, Computer Science - Computer Science and Game Theory
Abstract

This paper focuses on the cross-layer issue of resource allocation for energy efficiency in the uplink of a multiuser MIMO wireless communication system. Assuming that all of the transmitters and the uplink receiver are equipped with multiple antennas, the situation considered is that in which each terminal is allowed to vary its transmit power, beamforming vector, and uplink receiver in order to maximize its own utility, which is defined as the ratio of data throughput to transmit power; the case in which non-linear interference cancellation is used at the receiver is also investigated. Applying a game-theoretic formulation, several non-cooperative games for utility maximization are thus formulated, and their performance is compared in terms of achieved average utility, achieved average SINR and average transmit power at the Nash equilibrium. Numerical results show that the use of the proposed cross-layer resource allocation policies brings remarkable advantages to the network performance., Comment: Proceedings of the 16th European Signal Processing Conference, Lausanne, Switzerland, August 25-29, 2008

Published
2008

2. A stochastic non-cooperative game for energy efficiency in wireless data networks

Author

Buzzi, Stefano, Poor, H. Vincent, and Saturnino, Daniela

Subjects
Computer Science - Information Theory, Computer Science - Computer Science and Game Theory
Abstract

In this paper the issue of energy efficiency in CDMA wireless data networks is addressed through a game theoretic approach. Building on a recent paper by the first two authors, wherein a non-cooperative game for spreading-code optimization, power control, and receiver design has been proposed to maximize the ratio of data throughput to transmit power for each active user, a stochastic algorithm is here described to perform adaptive implementation of the said non-cooperative game. The proposed solution is based on a combination of RLS-type and LMS-type adaptations, and makes use of readily available measurements. Simulation results show that its performance approaches with satisfactory accuracy that of the non-adaptive game, which requires a much larger amount of prior information., Comment: To appear in the Proceedings of the 2007 Tyrrhenian International Workshop on Digital Communication, Naples, Italy, September 9 - 12, 2007

Published
2007

11. A Stochastic Non-Cooperative Game for Energy Efficiency in Wireless Data Networks.

Author

Pupolin, Silvano, Buzzi, Stefano, Poor, H. Vincent, and Saturnino, Daniela

Abstract

In this paper the issue of energy efficiency in CDMA wireless data networks is addressed through a game theoretic approach. Building on a recent paper by the first two authors, wherein a non-cooperative game for spreading-code optimization, power control, and receiver design has been proposed to maximize the ratio of data throughput to transmit power for each active user, a stochastic algorithm is here described to perform adaptive implementation of the said noncooperative game. The proposed solution is based on a combination of RLS-type and LMS-type adaptations, and makes use of readily available measurements. Simulation results show that its performance approaches with satisfactory accuracy that of the non-adaptive game, which requires a much larger amount of prior information. [ABSTRACT FROM AUTHOR]

Published
2008
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12. Adaptive Cross-Layer Distributed Energy-Efficient Resource Allocation Algorithms for Wireless Data Networks.

Author

Buzzi, Stefano, Poor, H. Vincent, and Saturnino, Daniela

Subjects
COMPUTER networks, WIRELESS communications, INFORMATION resources management, DIGITAL communications, DATA transmission systems, CODE division multiple access, SIMULATION methods & models, STOCHASTIC analysis, ALGORITHMS
Abstract

The issue of adaptive and distributed cross-layer resource allocation for energy efficiency in uplink code-division multiple-access (CDMA) wireless data networks is addressed. The resource allocation problems are formulated as noncooperative games wherein each terminal seeks to maximize its own energy efficiency, namely, the number of reliably transmitted information symbols per unit of energy used for transmission. The focus of this paper is on the issue of adaptive and distributed implementation of policies arising from this approach, that is, it is assumed that only readily available measurements, such as the received data, are available at the receiver in order to play the considered games. Both single-cell and multicell networks are considered. Stochastic implementations of noncooperative games for power allocation, spreading code allocation, and choice of the uplink (linear) receiver are thus proposed, and analytical results describing the convergence properties of selected stochastic algorithms are also given. Extensive simulation results show that, in many instances of practical interest, the proposed stochastic algorithms approach with satisfactory accuracy the performance of nonadaptive games, whose implementation requires much more prior information. [ABSTRACT FROM AUTHOR]

Published
2009
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