This paper analyzes the architecture and usage scenarios of d2dcommunication network, combining with the key points of d2dcommunication node alliance construction, including alliance capacity revenue, alliance power...
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ISBN:
(纸本)9781665484763
This paper analyzes the architecture and usage scenarios of d2dcommunication network, combining with the key points of d2dcommunication node alliance construction, including alliance capacity revenue, alliance power expenditure, nontransferable game theory, Combine and Separate () functions, etc. By studying software design and network topology, simulation module design, simulation platform implementation process, simulation steps and performance evaluation, the purpose is to give full play to the application value of d2d communication technology and meet the development needs of industry economy.
With the rapiddevelopment of intelligent hardware and the Internet of Things, the bandwidth and resource utilization efficiency of related networks need to be improved. At the same time, the corresponding communicati...
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With the rapiddevelopment of intelligent hardware and the Internet of Things, the bandwidth and resource utilization efficiency of related networks need to be improved. At the same time, the corresponding communication spectrum is becoming more and more scarce. At present, cognitive d2d communication technology in 5G network can establish communication link directly through communication equipment, so that two establishedcommunication equipment can realize direct communication, so as to make full use of communication resources and finally meet the explosive growth of traffic demand. How to manage communication resources and select communication links is the main research direction of d2d communication technology in 5G technology. Based on the knowledge of game theory, this paper proposes a communication channel allocation scheme and resource optimization scheme based on spectrum clustering and non cooperative game to maximize the operation efficiency of d2dcommunication equipment. The actual efficiency can reach about 1.5 times of the original communication efficiency. Finally, the optimization method proposed in this paper is compared with the traditional communication method. The experimental results show that this method has higher advantages.
device-to-device (d2d) communication plays a significant role in cellular networks as it can increase the capacity, spectrum efficiency and energy efficiency of the system. However, the large computational complexity ...
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device-to-device (d2d) communication plays a significant role in cellular networks as it can increase the capacity, spectrum efficiency and energy efficiency of the system. However, the large computational complexity of d2d resource management optimisation algorithms creates a serious gap between theoretical design and real-time processing, which leads to the limited use of d2d communication technology. In this study, a novel deep learning-based optimisation method is proposed to overcome the high computational complexity of joint beamforming design and power allocation optimisation algorithms in d2dcommunication. Unlike existing approaches, the authors design a convolutional neural network based end-to-end network structure to solve complex computing problems for channel state information under a limited feedback scenario. The Max-SE loss function which indicates quality-of-service (QoS) constraint and interference constraint, together with the mean squared error (MSE) function, are designed to maximise the spectral efficiency of the system while minimising the total transmit power. The simulation results show that the proposed approach can achieve performance comparable to the weighted minimum MSE scheme with low computation time.
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