摘要
太赫兹通信由于具有极大的带宽已成为当前的研究热点,在太赫兹系统中进一步提升系统容量也成为了值得探究的问题。本文利用混合概率和几何整形(PGS)的方案对全电子元件构成的太赫兹系统进行优化,使用成对优化(PO)算法对完成概率整形(PS)后的16阶正交幅度调制(PS-16QAM)的星座点进行位置调整,获得所需的混合概率和几何整形的16阶正交振幅调制(PGS-16QAM)信号。通过测试PS-16QAM、几何整形后的16阶正交幅度调制(GS-16QAM)和PGS-16QAM在不同净速率下对16QAM的优化,验证了混合PGS具有最佳的优化效果。实验证明,当无线传输距离设置为2 m、NGMI阈值设置为0.92时,PGS-16QAM相较于传统的16QAM、PS-16QAM和GS-16QAM,净传输速率分别提升了15.6%、11.8%和3.8%。
Terahertz communication has become a current research hotspot due to its extremely large bandwidth,and further improving the system capacity in terahertz systems has also become a problem worth exploring.This paper optimizes the terahertz system composed of all-electronic components using a hybrid Probability and Geometric Shaping(PGS)scheme.The Pairwise Optimization(PO)algorithm is employed to adjust the Probabilistically Shaped 16-ary Quadrature Amplitude Modulation(PS-16QAM)signal after probabilistic shaping to obtain the desired hybrid PGS-16QAM signal.By testing the optimization effects of PS-16QAM,Geometric Shaping(GS)-16QAM and PGS-16QAM on uniform 16QAM at different net rates,it is verified that the hybrid shaping has the best optimization effect.When the wireless transmission distance is set to 2 meters and the Normalized Generalized Mutual Information(NGMI)experimets have shown that threshold is set to 0.92,PGS-16QAM achieves a net transmission rate increase of 15.6%,11.8%,and 3.8%compared to traditional 16QAM,PS-16QAM,and GS-16QAM,respectively.
作者
韩扬
田鹏
王明旭
谭景文
徐思聪
张冰
魏怡
杨雄伟
余建军
HAN Yang;TIAN Peng;WANG Mingxu;TAN Jinwen;XU Sicong;ZHANG Bing;WEI Yi;YANG Xiongwei;YU Jianjun(School of Information Science and Technology,Fudan University,Shanghai 200433,China;Key Laboratory for Information Science of Electromagnetic Waves(MoE),Fudan University,Shanghai 200433,China;State Key Laboratory of ASIC and System,Fudan University,Shanghai 200433,China)
出处
《太赫兹科学与电子信息学报》
2024年第12期1313-1319,共7页
Journal of Terahertz Science and Electronic Information Technology
基金
国家自然科学基金资助项目(61935005,61835002,62305067,62375219,62331004)。
关键词
太赫兹
概率整形
几何整形
混合概率和几何整形
成对优化
归一化广义互信息
terahertz
Probabilistic Shaping(PS)
Geometric Shaping(GS)
Pairwise Optimization
hybrid Probability and Geometric Shaping(PGS)
Normalized Generalized Mutual Information(NGMI)
