Abstract
In this paper, we consider the resource allocation problem to maximize the minimum (max–min) user’s secure energy efficiency (SEE) in downlink massive multiple-input multiple-output (MIMO) systems with simultaneous wireless information and power transfer (SWIPT). First, transmission power and power splitting ratio are designed to achieve the max–min user’s SEE subject to harvested energy threshold, the constraints of transmission power, and power splitting ratio. Secondly, the optimization problem is non-convex and very difficult to tackle. In order to solve the optimization problem, we converted to a series of parameter optimization subproblems by fractional programming. Then, we employ the first-order Taylor expansion and successive convex approximation (SCA) method to solve parameter optimization problems. Next, a secure energy-efficient resource allocation (SERA) algorithm with the bisection method is proposed to find the max–min SEE of the system. Finally, simulation results show the effectiveness and superiority of the SERA algorithm.
Highlights
With the rapid development of mobile internet technology, the broadcast characteristics of wireless information have led to severe information leakage problems
In Equation (25), C5 is the difference between two concave functions, which can be effectively solved by sequential convex programming
We consider downlink massive multiple-input multiple-output (MIMO) systems employing artificial noise (AN) auxiliary communication for the physical layer
Summary
With the rapid development of mobile internet technology, the broadcast characteristics of wireless information have led to severe information leakage problems. Massive MIMO can be used to enhance the security and power transfer efficiency of a simultaneous wireless information and power transfer (SWIPT) system because it can beamform the energy and information more accurately with large array gain [2,3]. Du et al studied massive MIMO relay-assisted secure communication systems, which considered the channel reciprocity in time division duplexing (TDD). An energy efficiency power allocation (EEPA) scheme is proposed to maximize SEE. In Reference [9], J He et al studied the effect of channel aging on full-duplex massive MIMO spectral efficiency (SE) and energy efficiency (EE) and proposed four power allocation schemes. A secure energy-efficiency resource allocation (SERA) algorithm for massive MIMO systems with SWIPT is proposed.
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