Research Of Discovery Model And Resource Allocation Algorithm In FeD2D

With the popularity of IoT devices and wearable devices,connecting such devices to the network and managing them has become a hot spot in current 5G research.These devices are characterized by limited bandwidth and high energy requirements.In order to improve the energy efficiency of IoT devices and wearable devices,reduce power consumption,and ensure the communication performance of low-bandwidth devices,3GPP(the 3rd Generation Partnership Project)has launched research on FeD2D(Further Enhancements to LTE Device to Device)technology.FeD2D technology includes FeD2D communication technology and FeD2D discovery technology.This work mainly studies the resource management technology in FeD2D discovery technology,including optimizing the discovery model and designing low-power resource allocation schemes to improve the discovery performance of IoT devices and wearable devices and to reduce the energy consumption of the discovery process.The bandwidth of Internet of Things and wearable devices is limited.Using a traditional discovery model will result in low discovery success rates and increased latency and power consumption.In response to this problem,this paper optimizes the discovery model.The discovery model includes an announced discovery model and an interrogative discovery model.For the announced discovery model,it is proposed to divide the resource pool into multiple narrow-band resource pools and send several discovery signal in multiple narrow-band resource pools.For the interrogation discovery model,an optimization strategy of using the same frequency resource for the interrogation signal of the remote UE and the response signal of the relay UE is proposed.Through the theoretical analysis and the simulation,the above optimization strategy can enhance the discovery performance.Aiming at the low power consumption of IoT and wearable devices,in order to reduce the power consumption of users,a resource allocation scheme based on user distance is designed.This scheme allows the UEs in the sleep mode to be in sleep mode.Sending signals also does not require monitoring signals,which saves power and spectrum resources.In order to ensure that the low-power UE can also access the network smoothly,a resource allocation scheme based on user energy grading is designed.By allocating a dedicated resource pool to the low-power UE,the low-power UE can quickly discover that the relay UE successfully accesses the network.