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作者
Ouyang, Yuling; Yin, Caiyuan; Zhou, Ting; Jin, Yan
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刊物名称
MOBILE NETWORKS AND MANAGEMENT, MONAMI 2021
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年、卷、文献号
2022, 418, 1867-8211
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关键词
Ouyang, Yuling; Yin, Caiyuan; Zhou, Ting; Jin, Yan
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摘要
The exponential growth of mobile terminals and the explosion of data volume are promoting the continuous evolution of mobile communication network and also increasing the complexity of the system. Meanwhile, 5G system-level simulation also requires more complex operations and more data processing. Conventional system simulation platform based on CPU can not satisfy the computing power requirement of system-level simulation of 5G. For tremendously shorten the execution time, we proposed to develop the CPU-GPU based parallelization platform, which adopts Logistic Regression algorithm to optimizing the use of computational resources. Numerical results demonstrate the effectiveness in terms of reducing execution time and guaranteeing reliability of system-level simulation result in 5G scenarios.
