By predicting changes in service requirements and the evolution of network states, anticipatory networking aims to improve the performance of decision making and optimization algorithms. In this paper, we propose a reliability-aware scheduling model which exploits information about the upcoming channel states of users to proactively optimize resource allocation. Along with the optimal formulation, proven to be NP- hard, a heuristic is also presented. The evaluation of the proposed optimization model and its corresponding heuristic is carried out considering both perfect and imperfect prediction of the users' channel states. Numerical results show that both models are robust against errors and that the decrease in reliability, when the length of the prediction window is equal to 25 ms, is less than 10%.
Minimizing the Impact of Prediction Errors during Anticipatory Resource Allocation
2018-06-01
198030 byte
Conference paper
Electronic Resource
English
Minimizing cost in resource-allocation decisions
Online Contents | 2002
|Anticipatory Agents Based on Anticipatory Reasoning
British Library Conference Proceedings | 2005
|MINIMIZING ERRORS IN CELESTIAL POSITIONING
Online Contents | 1994
|Minimizing Errors in Celestial Positioning
British Library Online Contents | 1994
|Integrated anticipatory control
British Library Conference Proceedings | 2004
|