چكيده به لاتين
Most devices in wireless networks, such as sensors in IoT networks, have limited power supply. To solve this problem one can use Simultaneous Wireless Information and Power Transfer (SWIPT). In SWIPT systems, as in other wireless telecommunication systems, physical layer security that is resistance against jamming and eavesdropping is important. In this thesis, we address the issue of physical layer security in order to prevent interception in Massive SWIPT systems. In this system, there are a single antenna information receiver (IR) and a number of single antenna energy receivers (ERs) that are closer to the multi-antenna base station than the information receiver. ERs are also considered as potential eavesdroppers. Thus, by increasing the transmitting power, besides improving the information rate, the secrecy rate decreases. By controlling the transmitted power, we attempt to establish a trade-off between the secrecy rate and harvested energy. An optimization problem maximizes the secrecy rate for the IR subject to the harvested energy constraints of ERs. Since the proposed problem is non-convex, it can not be solved efficiently. Instead, we use an ADMM-based numerical optimization algorithm to reach the unique optimal solution. We show through mathematical analysis and computer simulations that the proposed method provides an improved secrecy rate as well as improved wireless power transmission in Massive MIMO SWIPT systems.
