| With the introduction of the three major application scenarios of 5G,the research of mobile communication networks faces new technical challenges and demands.The research on the low power and large connection scenario is an important part of 5G.Low power and large connection scenario serves wearable devices and IoT devices.Because these devices are limited in bandwidth,power consumption and communication capabilities,they need to connect to the network through relay to save bandwidth and energy.What's more,D2D technology can be used to assist those devices for relay communication.However,the traditional D2D technology cannot meet the requirements of low power consumption and narrowband communication,so it is necessary to evolve FeD2D technology based on D2D technology.Because of the shortcomings of traditional D2D technology,this paper has improved it in relay protocol,unicast communication and power consumption aspects.Then a simulation platform is developed to study the energy efficiency of FeD2D network.The power assumption models of the wearable and IoT device are analysised and simulated.In the wearable device scenario,a joint resource allocation and power control algorithm is raised,different from the traditional algorithm considering resource allocation and power control separately.The algorithm considers resource resource allocation and power control at the same time to make the system perform better in energy saving.And the simulation result shows the system has a significant improvement in energy efficiency.In the IoT device scenario,there is a relay selection process,because of the large distance between the IoT device and the relay device compared with the wearable device scenario.This paper proposes a relay selection algorithm to select the best relay based on energy saving area and the geographical location and channel state information.The simulation result shows that the complexity of the algorithm is reduced while obtaining performance improvement. |
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