D2D communication resource allocation algorithm based on multi-agent reinforcement learning
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Resource allocation and dynamic power control for D2D communication underlaying uplink multi-cell networks
Underlaying device-to-device (D2D) communication is suggested as a promising technology for the next generation cellular networks (5G), where users in close proximity can transmit directly to one another bypassing the base station. However, when D2D ...
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Device-to-device (D2D) communication in cellular systems offers an economically viable means of improving the system capacity by allocating multiple D2D links within the same resource block (RB), under appropriate interference-control techniques. In ...
D2D Resource Allocation Based on Reinforcement Learning and QoS
AbstractDevice-to-device (D2D) communications is designed to improve the overall network performance, including low latency, high data rates, and system capacity of the fifth-generation (5G) wireless networks. The system capacity can even be improved by ...
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New York, NY, United States
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