Abstract
The green communication for 5th generation Internet of Things base on the energy collecting and security issues is studied in this paper. The transceiver and power splitting factor are optimized aiming at minimizing the transmitting power at the source node subject to the security performance and energy collection. Since the optimization problem is a nonconvex function, an iteration optimization algorithm is proposed to divide the objective optimization function into two subproblems, namely, a joint transmitter and PS factor optimization subproblem and a minimum mean-square error-based receiving filter optimization subproblem. Furthermore, since the transmitter and PS combining optimization subproblem is still a nonconvex function, the semidefinite relaxation technique is used to transform it into a convex function. The feasibility of the optimization problem and the convergency of the iteration algorithm are proved in theory, and the simulation results show the availability of the proposed scheme.
Highlights
Internet of Things (IoT) is expected to improve human life due to it can connect various objects to provide information and control the monitored objects at any time and space [1]
The transceiver and power splitting factor combining optimal scheme based on secure transmission and energy collection (EC) constraints for the multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) IoT with full-duplex relay is studied in this paper
Since the source-eavesdropper and relay-eavesdropper channels form an inter-symbol interference (ISI) channel [20], in order to get Ce, we assume that one transmission block contains K data packets, and the eavesdropper gathers the received K-packets for processing
Summary
Internet of Things (IoT) is expected to improve human life due to it can connect various objects to provide information and control the monitored objects at any time and space [1]. The authors in [17] investigated the minimization of the total transmitting power of the base station and the relay station problem under both signal-to-interferenceplus-noise ratio and energy collecting constraints in a SWIPT multiuser multiple-input single-output relay system. They proposed an iterative algorithm based on alternating optimization and with guaranteed convergence to optimize the transceiver coefficients. The transceiver and power splitting factor combining optimal scheme based on secure transmission and energy collection (EC) constraints for the MIMO SWIPT IoT with full-duplex relay is studied in this paper. Since the subproblem of transmitter and PS factor optimization is still a nonconvex function, the SDR technique is used to transform it into a convex problem that can be effectively solved
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