Power allocation in wireless communication systems : stochastic via CVaR and robust approaches / Alocação de potencia em sistemas de comunicações sem fio : abordagens estocastica via o CVaR e robusta

AUTOR(ES)

Yusef Rafael Caceres Zuniga

DATA DE PUBLICAÇÃO

2007

RESUMO

This thesis deals with the power allocation problem under the stochastic and robust approaches, where the channel gains describe the wireless communication system state and are partially known by the controller. The stochastic approach considers the channel gains as random variables which represent the fast fading of the radio signal. Under these settings, the system performance index is reformulated using CVaR (Conditional Value-at-Risk). The robust approach considers that the channels gains and noise belong to a determined convex set. ln both approaches, the optimal solution is determined in terms of a convex optimization problem. Additionally, under the stochastic approach, a recursive and distributed algorithm is presented which converges to its suboptimal solution when noise is null and the transmitted power is upper and lower bounded. It is also show that this algorithm converges to its optimal solution when the link quality is much greater than the minimum required quality in a system where the channels gains match its expected value.

ASSUNTO(S)

risco telefonia celular programação convexa telecommunication systems risk averse stochastic optimization convex optimization sistemas de comunicação sem fio sistemas de telecomunicação programação estocastica transmitted power control problem for wireless communication systems robust optimization

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