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低精度量化的OTFS系统性能分析
张馨月,李华,李星
0
(1.博鼎实华北京技术有限公司,北京 100096;2.北京科技大学 计算机与通信工程学院,北京 100083)
摘要:
正交时频空(Orthogonal Time and Frequency Space,OTFS)作为6G候选调制方案,旨在支持下一代无线通信系统在高速移动场景的异构性需求。为解决系统硬件成本高昂和功耗高的问题,构建了低精度量化OTFS系统,并推导了b-bit量化最小均方误差(Minimum Mean Square Error,MMSE)检测矩阵。通过加性量化噪声模型(Additive Quantization Noise Model,AQNM)推导系统输入-输出关系,并基于MMSE接收机评估系统误比特率(Bit Error Rate,BER)和可达速率性能。仿真结果表明,4-bit量化较全精度量化系统性能在BER=10-2处损失约1 dB,可达速率减小约0.98%;8-bit量化与全精度量化的可达速率相当,验证了分析结果的有效性。
关键词:  正交时频空(OTFS)  低精度量化  快速时变信道
DOI:10.20079/j.issn.1001-893x.240912001
基金项目:中国博士后科学基金项目第74批面上资助项目(2023M740223);2023年度国家资助博士后研究人员计划(GZC20230241)
Performance Analysis of OTFS System with Low-resolution Quantization
ZHANG Xinyue,LI Hua,LI Xing
(1.PotinBeijing Technology Co.,Ltd.,Beijing 100096,China;2.School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China)
Abstract:
Orthogonal time frequency space(OTFS) is a candidate modulation scheme for the sixth generation mobile communication(6G) to support heterogeneous requirements of next wireless communication systems in high-mobility scenarios.Considering the problems of high hardware cost and power consumption,the authors construct a low-resolution quantized OTFS system and derive a minimum mean square error(MMSE) detection matrix based on b-bit quantization.The input-output relationship of the system is derived using the additive quantization noise model(AQNM),and the bit error rate(BER) and achievable rate performance are evaluated using the MMSE receiver.Numerical results show that 4-bit quantization loses about 1 dB of performance at BER=10-2 and decreases the achievable rate by around 0.98% compared with full-resolution quantization;8-bit quantization achieves achievable rate comparable to full-precision quantization,confirming the validity of the analytical results.
Key words:  orthogonal time frequency space(OTFS)  low-resolution quantization  fast time-varying channel