Joint Partner Pairing and Resource Scheduling for D2D-U-based Decentralized Mutual Learning

IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM(2023)

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摘要
In this paper, we design a novel system named as decentralized mutual learning over unlicensed spectrum (DML-U), where edge devices are allowed to learn from each other via bidirectional device-to-device communications over unlicensed spectrum. We further formulate a non-convex optimization problem to minimize energy consumption and accelerate knowledge sharing with constrained power, bandwidth and transmission latency. Under this context, we propose a two-layer iterative algorithm, which contains an enumeration-based outer layer for the pairing scheme and a sum-of-ratios-based inner layer for obtaining a globally optimal allocation of communication resources. Simulation results verify that our obtained algorithm converges fast and finds efficiently the balance between knowledge sharing and communication energy consumption.
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关键词
Mutual learning,D2D communication on unlicensed spectrum,Decentralized architecture,Partner pairing,Resource allocation
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