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“…The Lyapunov based solution has been widely used in many practical applications (as, e.g., in [29]- [32]) to transform the long-term average stochastic problem into a series of pertime-slot deterministic optimization subproblems, which do not require any a priori information on the system uncertainties, while efficiently capturing the non-stationary evolution of queue backlogs per user. In [29], the authors propose a SWIPT-enabled mechanism to increase the average secrecy throughput by considering the data and energy buffering at the wirelessly powered relays. Meanwhile, the authors of [30] design an online adaptive resource allocation policy to maximize the fairness among different mobile clients, while the trade-off between response delay and energy efficiency is studied in [31].…”
Section: Introductionmentioning
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“…The Lyapunov based solution has been widely used in many practical applications (as, e.g., in [29]- [32]) to transform the long-term average stochastic problem into a series of pertime-slot deterministic optimization subproblems, which do not require any a priori information on the system uncertainties, while efficiently capturing the non-stationary evolution of queue backlogs per user. In [29], the authors propose a SWIPT-enabled mechanism to increase the average secrecy throughput by considering the data and energy buffering at the wirelessly powered relays. Meanwhile, the authors of [30] design an online adaptive resource allocation policy to maximize the fairness among different mobile clients, while the trade-off between response delay and energy efficiency is studied in [31].…”
Section: Introductionmentioning