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Risk takers often select management schedules for which the best outcomes are good whereas risk avoiders tend to maximize the worst outcomes of alternative management schedules.
Talwar et al. [12] presented an optimal joint RS and PA scheme to maximize the worst received signal-to-noise ratio (SNR) in AF two-way relay systems.
Consider the resource allocation problem where the CRN is required to optimize the transmit beamforming vectors to maximize the worst weighted SINR or, more generally the worst among a set of increasing functions of each SINR.
The authors in [6] propose a joint design of NC with RS for decode-and-forward (DF) TWRC based on the max-min criterion in order to maximize the worst relay channel.
Additionally, we show that the proposed solution approach can be extended to maximize the worst weighted SINR or, more generally, the worst among a set of increasing functions of each SINR.
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For the case of deterministically bounded error model, we maximize the worst-case secrecy rate.
The deterministically bounded error model is considered, and we aim to maximize the worst-case secrecy rate.
In our second approach, we maximize the worst-case receive QoS under the constraints of individual relay transmit powers.
For the case of deterministically bounded error model, we aim to maximize the worst-case secrecy rate.
Robust portfolio optimization aims to maximize the worst-case portfolio return given that the asset returns are allowed to vary within a prescribed uncertainty set.
Specifically, for the case of deterministically bounded error model, where the CSI error can be specified by an uncertainty set, we maximize the worst-case secrecy rate.
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