Joint Resource Allocation Algorithms For SWIPT Networks

With the rapid development of wireless communication technology, the energy source comsumption problem is gradually severe. For solving the low utilization of energy source problem which resulted from the traditional usage style for energy, the energy harvesting technique with high efficiency can be adopted. As an original energy harvesting technique, the simultaneous wireless information and power transfer(SWIPT) technique combines the wireless information transfer technique and wireless power transfer technique, which can receive the wireless information while harvest energy at the receiver. Besides, the SWIPT is considerd as a promising technique with expansive application perspective for the reason that it can not only relieve the pressure of energy and frequency source scarcy but also meet the requirement of high efficient and reliable communication. In this thesis, joint resource allocation algorithm for SWIPT network will be discussed. The following issues are mainly discussed.Firstly, the concept of SWIPT, the system structure and the key technologies on SWIPT are introduced. Then the existing researches on SWIPT resource allocation algorithms are summarized.Secondly, for the secure transmission in the SWIPT network scenario, two joint resource allocation algorithms are proposed according to the position of eavesdropping users is known or random respectively. Under the constraints of transmission rate, transmitting power and harvesting power, a total network energy efficiency model is established based on network transmitting power, network selection and energy harvesting strategies to solve the jointly optimal resource allocation problem, which derives the optimal transmitting power, network selection and harvesting power of corresponding users, optimizing the performance of users and networks. Eventually, the proposed algorithms are validated that their optimal performance can be obtained guaranteeing the users' QoS under the constraint of harvesting power via Matlab.Finally, in relay network scenario, an optimal energy efficiency algorithm based joint relay selection and resource allocation is proposed. The total network energy efficiency is modeled based on the sources transmitting power, subchannel allocation, relay selection and energy harvesting policies. Based on maximizing the total energy efficiency, the joint allocation strategy including the sources transmitting power, subchannel allocation, relay selection and energy harvesting of relay nodes strategies are optimally designed, which aiming to guarantee the QoS of destination nodes while optimizing network energy efficiency. Then, the proposed algorithm is validated that its optimal performance can be obtained guaranteeing the users' QoS under the constraint of power via Matlab.