Energy Harvesting Based Wireless Resource Management In Heterogeneous Wireless Networks

As a technique that enables communication devices to acquire energy from radio frequency signals, energy harvesting is of great significance to energy-saving communications of heterogeneous networks. In this thesis,energy-efficient resource allocation in energy-efficient heterogeneous networks based on energy harvesting is studied, in order to improve the energy efficiency of heterogeneous networks in large-scale deployments of IoT sensor nodes. Based on this, this paper mainly studies the following two aspects.For energy-efficient heterogeneous network power allocation, the energy-efficiency optimization problem based on power control is modeled as a non-cooperative game resource allocation problem, and the existence and uniqueness of Nash equilibrium is proved. Then, a distributed power allocation scheme is proposed, and the optimal power allocation is obtained by iteration. The scheme enhances the energy efficiency of the system and validates the energy harvesting of the system.Based on the above power control scheme, the subchannel allocation scheme is integrated to study the joint subchannel and power allocation scheme based on energy efficiency. Considering the computational complexity and the feasibility of the operation, we divide the problem into sub-channel assignment and power control. Then, the power control is modeled as a non-cooperative game problem, and the HNNGPC algorithm is used to solve the problem. Finally, the joint allocation scheme is obtained.The power distribution is. divided into sub-channel allocation strategy.Combined sub-channel and power allocation scheme to further enhance the system energy efficiency, energy collection and other aspects of performance.