GAN-based joint pilot configuration and channel estimation optimization method

doi:10.12267/j.issn.2096-5931.2023.09.009

Abstract

Abstract:

With the explosive growth of communication devices, channel environments become increasingly complicated, which increases the pilot overhead of conventional channel estimation methods to maintain the estimation accuracy. However, the added extra overhead will lead to a decrease of system throughput. To solve this problem in the OFDM system, a channel estimation method based on the generative adversarial network (GAN) is first proposed. Then, the GAN model is used to learn the mapping relationship between the low-dimensional latent vector and the real channel samples. Finally, a joint pilot configuration and channel estimation optimization problem is considered to be solved.

Key words: channel estimation, artificial intelligence, generative adversarial network

CLC Number:

TN929.11

XU Mingfeng, LI Yang, HAN Kaifeng, XU Xiaoyan, JIANG Jiamo. GAN-based joint pilot configuration and channel estimation optimization method[J]. Information and Communications Technology and Policy, 2023, 49(9): 58-66.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2023.09.009

http://ictp.caict.ac.cn/EN/Y2023/V49/I9/58

Figures/Tables 12

References 9

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速度(km/h)	基于GAN的导频配置和信道估计联合优化方案			GAN方法 (96个导频)	传统方法 (96个导频)
速度(km/h)	24个导频	48个导频	96个导频	GAN方法 (96个导频)	传统方法 (96个导频)
150	0.006 1	0.004 4	0.004 0	0.005 9	0.007 3
300	0.007 8	0.005 6	0.004 7	0.007 7	0.009 8

速度(km/h)	基于GAN的导频配置和信道估计联合优化方案			GAN方法 (96个导频)	传统方法 (96个导频)
速度(km/h)	24个导频	48个导频	96个导频	GAN方法 (96个导频)	传统方法 (96个导频)
150	0.006 1	0.004 4	0.004 0	0.005 9	0.007 3
300	0.007 8	0.005 6	0.004 7	0.007 7	0.009 8

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