• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

On-demand Allocation of Multiple Mutual-compensating Resources in Wireless Downlinks: a Multi-server Case

Vol. 9, No. 3, March 30, 2015
10.3837/tiis.2015.03.005, Download Paper (Free):

Abstract

In this paper, we investigate the multi-resource allocation problem, a unique feature of which is that the multiple resources can compensate each other while achieving the desired system performance. In particular, power and time allocations are jointly optimized with the target of energy efficiency under the resource-limited constraints. Different from previous studies on the power-time tradeoff, we consider a multi-server case where the concurrent serving users are quantitatively restricted. Therefore user selection is investigated accompanying the resource allocation, making the power-time tradeoff occur not only between the users in the same server but also in different servers. The complex multivariate optimization problem can be modeled as a variant of 2-Dimension Bin Packing Problem (V2D-BPP), which is a joint non-linear and integer programming problem. Though we use state decomposition model to transform it into a convex optimization problem, the variables are still coupled. Therefore, we propose an Iterative Dual Optimization (IDO) algorithm to obtain its optimal solution. Simulations show that the joint multi-resource allocation algorithm outperforms two existing non-joint algorithms from the perspective of energy efficiency.


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Cite this article

[IEEE Style]
H. Han, Y. Xu, Q. Huang, "On-demand Allocation of Multiple Mutual-compensating Resources in Wireless Downlinks: a Multi-server Case," KSII Transactions on Internet and Information Systems, vol. 9, no. 3, pp. 921-940, 2015. DOI: 10.3837/tiis.2015.03.005.

[ACM Style]
Han Han, Yuhua Xu, and Qinfei Huang. 2015. On-demand Allocation of Multiple Mutual-compensating Resources in Wireless Downlinks: a Multi-server Case. KSII Transactions on Internet and Information Systems, 9, 3, (2015), 921-940. DOI: 10.3837/tiis.2015.03.005.

[BibTeX Style]
@article{tiis:20745, title="On-demand Allocation of Multiple Mutual-compensating Resources in Wireless Downlinks: a Multi-server Case", author="Han Han and Yuhua Xu and Qinfei Huang and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2015.03.005}, volume={9}, number={3}, year="2015", month={March}, pages={921-940}}