基于CWGAN-SLM的多小波OFDM系统峰均比抑制算法研究

doi:10.11959/j.issn.1000-436x.2023069

Abstract

Abstract:

In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.

Key words: satellite-ground integration, OFDM, PAPR, multi-wavelet OFDM, computational complexity

CLC Number:

TN919.3

Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG. Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system[J]. Journal on Communications, 2023, 44(4): 99-110.

Figures/Tables 17

SLM算法	复数乘法	复数加法
传统SLM	$\frac{N K}{2} lb N$	$N K lb N$
TR-SLM	$\frac{N K}{2} lb N + 2 K (N - 1)$	$N K lb N + 9 N K + K (N - 1)$
CWGAN-SLM	14N	16N

References 21

[1]	赵亚军, 郁光辉, 徐汉青 . 6G移动通信网络:愿景、挑战与关键技术[J]. 中国科学:信息科学, 2019,49(8): 963-987.
	ZHAO Y J , YU G H , XU H Q . 6G mobile communication networks:vision,challenges,and key technologies[J]. Scientia Sinica (Informationis), 2019,49(8): 963-987.
[2]	王悦, 王权, 张德鹏 ,等. 低轨卫星通信系统与5G通信融合的应用设想[J]. 卫星应用, 2019(1): 54-59.
	WANG Y , WANG Q , ZHANG D P ,et al. Application assumption of fusion of LEO satellite communication system and 5G communication[J]. Satellite Application, 2019(1): 54-59.
[3]	CUI X , LIU K , LIU Y . Novel linear companding transform design based on linear curve fitting for PAPR reduction in OFDM systems[J]. IEEE Communications Letters, 2021,25(11): 3604-3608.
[4]	SONG H J , LEE N . Terahertz communications:Challenges in the next decade[J]. IEEE Transactions on Terahertz Science and Technology, 2021,12(2): 105-117.
[5]	ZHANG Y , WANG Z , HUANG Y ,et al. A digital signal recovery technique using DNNs for LEO satellite communication systems[J]. IEEE Transactions on Industrial Electronics, 2020,68(7): 6141-6151.
[6]	XING Z T , LIU K M , TANG B H ,et al. Novel PAPR reduction scheme based on piecewise nonlinear companding transform in OFDM systems[J]. IEEE Communications Letters, 2020,24(8): 1757-1761.
[7]	SGHAIER M , ABDELKEFI F , SIALA M . Efficient embedded signaling through Alamouti STBC precoders in MIMO-OFDM systems[C]// Proceedings of 2013 IEEE Wireless Communications and Networking Conference (WCNC). Piscataway:IEEE Press, 2013: 4053-4058.
[8]	FATHY S A , EL-MAHALLAWY M S , HAGRAS E A A . C8.SLM technique based on particle swarm optimization algorithm for PAPR reduction in wavelet-OFDM systems[C]// Proceedings of 2015 32nd National Radio Science Conference (NRSC). Piscataway:IEEE Press, 2015: 163-170.
[9]	LEE K S , CHO Y J , WOO J Y ,et al. Low-complexity PTS schemes using OFDM signal rotation and pre-exclusion of phase rotating vectors[J]. IET Communications, 2016,10(5): 540-547.
[10]	季策, 祝雯靖, 魏颖 ,等. 降低OFDM系统PAPR的改进SLM算法[J]. 通信学报, 2018,39(4): 152-158.
	JI C , ZHU W J , WEI Y ,et al. Improved SLM algorithm for PAPR reduction in OFDM system[J]. Journal on Communications, 2018,39(4): 152-158.
[11]	WANG X , JIN N D , WEI J D . A model-driven DL algorithm for PAPR reduction in OFDM system[J]. IEEE Communications Letters, 2021,25(7): 2270-2274.
[12]	KIM M , LEE W , CHO D H . A novel PAPR reduction scheme for OFDM system based on deep learning[J]. IEEE Communications Letters, 2018,22(3): 510-513.
[13]	LIU Z J , HU X , HAN K ,et al. Low-complexity PAPR reduction method for OFDM systems based on real-valued neural networks[J]. IEEE Wireless Communications Letters, 2020,9(11): 1840-1844.
[14]	NGUYEN M T , KADDOUM G , SELIM B ,et al. Deep unfolding network for PAPR reduction in multicarrier OFDM systems[J]. IEEE Communications Letters, 2022,26(11): 2616-2620.
[15]	SAROWA S , KUMAR N , AGRAWAL S ,et al. Evolution of PAPR reduction techniques:a wavelet based OFDM approach[J]. Wireless Personal Communications, 2020,115(2): 1565-1588.
[16]	ALMUTAIRI A F , KRISHNA A . Filtered-orthogonal wavelet division multiplexing (F-OWDM) technique for 5G and beyond communication systems[J]. Scientific Reports, 2022,12:4607.
[17]	SUHARTOMO A , VINCENT V . Comparison of BER performance for M-ary QAM and PSK on DWT-based OFDM system with PTS technique through AWGN channel[C]// Proceedings of 2020 IEEE International Conference on Sustainable Engineering and Creative Computing (ICSECC). Piscataway:IEEE Press, 2020: 5-10.
[18]	YAN X H , LI J , WU Z Y . 5G new radio with orthogonal multiwavelet packet division multiplexing[C]// Proceedings of 2022 IEEE 2nd International Conference on Electronic Technology,Communication and Information (ICETCI). Piscataway:IEEE Press, 2022: 996-1002.
[19]	GOODFELLOW I J , POUGET-ABADIE J , MIRZA M ,et al. Generative adversarial nets[C]// Proceedings of the 27th International Conference on Neural Information Processing Systems. New York:ACM Press, 2014: 2672-2680.
[20]	LI Y , CUI W G , GUO Y Z ,et al. Time-varying system identification using an ultra-orthogonal forward regression and multiwavelet basis functions with applications to EEG[J]. IEEE Transactions on Neural Networks and Learning Systems, 2018,29(7): 2960-2972.
[21]	KOLEV V , COOKLEV T , KEINERT F . Design of a simple orthogonal multiwavelet filter by matrix spectral factorization[J]. Circuits,Systems,and Signal Processing, 2020,39(4): 2006-2041.

Metrics

Recommended 0

No Suggested Reading articles found!

仿真参数	数值
卫星轨道高度/km	1 500
载波频率/GHz	20
信道类型	CDL-A
系统模型	MWOFDM
多小波基函数	SA4
子载波个数/个	4 096
备选信号个数/个	16
调制/解调方式	QPSK

仿真参数	GAN	WGAN	CWGAN
生成器卷积层个数	3	3	3
判别器卷积层个数	4	4	4
生成器激活函数	ReLU	ReLU	ReLU
判别器激活函数	LeakyReLU	LeakyReLU	LeakyReLU
判别器的最后一层	Sigmoid	—	Sigmoid
epoch	2 000	2 000	2 000
Batch_size	64	64	64
生成器学习率	0.000 1	0.000 1	0.000 1
判别器学习率	0.000 4	0.000 4	0.000 4
条件信息	无	无	有
优化算法	Adam	RMSProp	RMSProp

算法	第1次/s	第2次/s	第3次/s	平均运行时间/s
传统SLM	1.105	0.998	1.058	1.053
TR-SLM	4.194	4.007	4.138	4.113
MDTR	0.421	0.406	0.415	0.414
PRNet	0.298	0.314	0.308	0.306
RV-NN	0.407	0.397	0.385	0.396
PR-DUN	0.357	0.367	0.368	0.364
GAN-SLM	1.525	1.687	1.592	1.601
WGAN-SLM	0.781	0.826	0.759	0.789
CWGAN-SLM	0.476	0.435	0.461	0.457

Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 17

References 21

Related Articles 15

Metrics

Recommended 0

[1]	Linsen XU, Wei YANG, Hongxian TIAN. Channel interleaver design and performance analysis for ultrasonic through-metal communication [J]. Journal on Communications, 2022, 43(10): 1-11.
[2]	Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI. Efficient model-and-data based channel estimation algorithm [J]. Journal on Communications, 2022, 43(1): 59-70.
[3]	Guo LI, Ni WEN, Fengkui GONG, Jian ZHANG, Sihan ZHANG. Interference detection and diversity suppression algorithm of OFDM system under partial-band jamming [J]. Journal on Communications, 2021, 42(9): 194-204.
[4]	Fengkui GONG, Ni WEN, Guo LI, Yang GAO. Low-complexity and frequency-offset-robust synchronization algorithm based on CAZAC sequence [J]. Journal on Communications, 2021, 42(2): 64-71.
[5]	Zhitong XING, Yun LI, Deyi PENG, Bensi ZHANG, Kaiming LIU, Yuan’an LIU. Efficient PAPR reduction algorithm in OFDM based on nonlinear piecewise companding [J]. Journal on Communications, 2021, 42(12): 44-53.
[6]	Xinrong LYU, Youming LI, Qiang GUO. Joint channel and impulsive noise estimation method for MIMO-OFDM systems [J]. Journal on Communications, 2021, 42(12): 54-64.
[7]	Kejun JIA,Boran YANG,Minghua CAO,Suoping LI,Li HAO. Design and research of adaptive O-OFDM symbol decomposing with serial transmission system in visible light communication [J]. Journal on Communications, 2020, 41(9): 179-189.
[8]	Linsen XU,Wei YANG,Hongxian TIAN,Tao WU. Bit-filling algorithm for fast subcarrier-selecting in ultrasonic through-metal communication [J]. Journal on Communications, 2020, 41(11): 30-39.
[9]	Yongjun XU,Yang YANG,Qilie LIU,Qianbin CHEN,Jinzhao LIN. Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization [J]. Journal on Communications, 2020, 41(1): 84-93.
[10]	Miao CUI,Xin YU,Xueyi LI,Guangchi ZHANG,Yijun LIU,Fan LIN. Joint downlink and uplink resource allocation for multi-carrier SWIPT system [J]. Journal on Communications, 2019, 40(3): 206-214.
[11]	Yingjie MA,Geng ZHAO,Zhanzhen WEI,Zhaobin LI,Lei JU. Research on the algorithm for reducing the PAPR of OFDM system based on quantum chaotic mapping [J]. Journal on Communications, 2019, 40(1): 195-200.
[12]	Yejun LIU,Yuying LIU,Pengchao HAN,Jidong WANG,Lei GUO. Layered bandwidth allocation algorithm for multi-service in orthogonal frequency division multiplexing passive optical network [J]. Journal on Communications, 2018, 39(9): 84-93.
[13]	Lu LIU,Guoqing ZHAO. Method on PAPR reduction in digital beam-forming [J]. Journal on Communications, 2018, 39(2): 114-121.
[14]	Gao ZHOU,Ping-zhi FAN,Li HAO. DFT-SV-OFDM based adaptive multi-rate DFT scrambling vector code division multiple access [J]. Journal on Communications, 2017, 38(9): 46-54.
[15]	Xuan-wei LIANG,Qi ZHU,Guang-jun LIANG. Resource allocation scheme in two-way multi-relay OFDM system [J]. Journal on Communications, 2017, 38(9): 193-200.