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2018 | OriginalPaper | Buchkapitel

3. Multi-Objective Resource Allocation Optimization for SWIPT in Small-Cell Networks

verfasst von : Nafiseh Janatian, Ivan Stupia, Luc Vandendorpe

Erschienen in: Wireless Information and Power Transfer: A New Paradigm for Green Communications

Verlag: Springer International Publishing

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Abstract

In this chapter we consider time switching (TS) simultaneous wireless information and power transfer (SWIPT) for a small-cell network consisting of multiple multi-antenna access points (APs) that serve multiple single antenna user equipments (UEs). In this scenario, we address the jointly optimized design of spatial precoding and TS ratios under a multi-objective optimization (MOO) framework. Our goal is to maximize a utility vector including the data rates and harvested energies of all UEs simultaneously. This problem is a non-convex rank-constrained MOO problem which is transformed into a non-convex semidefinite program using the weighted Chebyshev method. We propose an algorithm based on majorization–minimization approach to solve this problem. Numerical results are provided to demonstrate the performance of the proposed beamforming and TS algorithm in terms of harvested energy-data rate trade-off. The effect of different parameters on this trade-off is also investigated to get a general overview for the practical design of the network.

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Metadaten
Titel
Multi-Objective Resource Allocation Optimization for SWIPT in Small-Cell Networks
verfasst von
Nafiseh Janatian
Ivan Stupia
Luc Vandendorpe
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-56669-6_3

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