Multi-objective resource allocation optimization for SWIPT in small-cell networks

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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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Janatian, N., Stupia, I., & Vandendorpe, L. (2017). Multi-objective resource allocation optimization for SWIPT in small-cell networks. In Wireless Information and Power Transfer: A New Paradigm for Green Communications (pp. 65–86). Springer International Publishing. https://doi.org/10.1007/978-3-319-56669-6_3

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