Paper Info
Title
Optimal Energy Allocation Policies for a High Altitude Flying Wireless Access Point
Abstract
Inspired by recent industrial efforts towards high altitude flying wireless access points powered by renewable energy, an online resource allocation problem for a mobile access point travelling at high altitude is formulated. The access point allocates its resources (available energy) to maximise the total utility (reward) provided to a sequentially observed set of users demanding service. The problem is formulated as a 0/1 dynamic knapsack problem with incremental capacity over a finite time horizon, and the solution of which is quite open in the literature. We address the problem through deterministic and stochastic formulations followed by a model where the statistics of the underlying processes are not known and learned through rule-based and neural network approaches. For the deterministic problem, several online approximations including optimisation via genetic algorithm and rule-based approach are proposed based on an instantaneous threshold that can adapt to short-time-scale dynamics. For the stochastic model, after showing the optimality of a threshold-based solution on a dynamic programming formulation, an approximate threshold-based policy is obtained. The performances of proposed policies are compared with that of the optimal solution obtained through dynamic programming. Copyright (C) 2016 John Wiley & Sons, Ltd.
Year
DOI
Venue
2015
10.1002/ett.3034
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
Field
DocType
Volume
Dynamic programming,Mathematical optimization,Renewable energy,Wireless,Computer science,Wireless access point,Resource allocation,Stochastic modelling,Knapsack problem,Available energy
Journal
28.0
Issue
ISSN
Citations 
4.0
2161-3915
5
PageRank 
References 
Authors
0.62
14
5
Name
Order
Citations
PageRank
elif tugce ceran1865.72
tugce erkilic261.00
Elif Uysal-Biyikoglu31050132.01
Tolga Girici49817.12
Kemal Leblebicioglu5229.82