DFT-spread OTFS-NOMA for downlink integrated positioning and communication

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Physical Communication Pub Date : 2024-08-22 DOI:10.1016/j.phycom.2024.102476
Qiang Lv, Jianhe Du, Yuanzhi Chen, Weijia Yu, Peng Zhang
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Abstract

In this article, a non-orthogonal multiple-access (NOMA) transmission system that incorporates discrete Fourier transform (DFT) spread orthogonal time-frequency space (OTFS) modulation is proposed for the downlink integrated positioning and communication (IPAC). This system is designed to decrease the Peak-to-Average Power Ratio (PAPR) within the OTFS-NOMA system while simultaneously serving both communication user (CU) and positioning user (PU) within the same time-frequency resources. Firstly, we demonstrate the applicability of the proposed DFT-spread OTFS-NOMA (DFT-s-OTFS-NOMA) system for downlink transmission. It efficiently serves both the CU and PU concurrently within the same time and frequency resources, thereby increasing spectrum utilization. Subsequently, we develop a two-stage parameter estimation algorithm focusing on accurate positioning parameter estimation for PU and precise channel estimation for CU. Then, the position of the PU is estimated using the time of arrival (TOA) model and the linear least squares (LLS) approach. Simulation demonstrates a 9 dB PAPR reduction in the proposed system compared to the existing OTFS-NOMA system. Additionally, the proposed two-stage positioning method for the PU achieves centimeter-level accuracy in position estimation and near millimeter-per-second-level accuracy in velocity estimation. What is more, the performance of channel estimation and symbol detection, aided by the PU signal in the DFT-s-OTFS-NOMA system, demonstrates resilience against Doppler effects without the need for reliance on pilots. This ensures sustained an effective Bit Error Rate (BER) even in time-variant high mobility scenarios.

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用于下行链路综合定位和通信的 DFT 展开 OTFS-NOMA
本文提出了一种非正交多址(NOMA)传输系统,该系统采用离散傅里叶变换(DFT)传播正交时频空间(OTFS)调制,用于下行链路综合定位和通信(IPAC)。该系统旨在降低 OTFS-NOMA 系统内的峰均功率比 (PAPR),同时在相同的时频资源内为通信用户 (CU) 和定位用户 (PU) 提供服务。首先,我们展示了所提出的 DFT-spread OTFS-NOMA (DFT-s-OTFS-NOMA)系统在下行链路传输中的适用性。该系统在相同的时间和频率资源内同时为 CU 和 PU 提供高效服务,从而提高了频谱利用率。随后,我们开发了一种两阶段参数估计算法,重点关注 PU 的精确定位参数估计和 CU 的精确信道估计。然后,使用到达时间(TOA)模型和线性最小二乘法(LLS)估算 PU 的位置。仿真表明,与现有的 OTFS-NOMA 系统相比,拟议系统的 PAPR 降低了 9 dB。此外,为 PU 提出的两阶段定位方法在位置估计方面达到了厘米级精度,在速度估计方面接近每秒毫米级精度。更重要的是,在 DFT-s-OTFS-NOMA 系统中,由 PU 信号辅助的信道估计和符号检测表现出了对多普勒效应的适应能力,而无需依赖先导信号。这确保了即使在时变的高移动性场景中也能保持有效的误码率(BER)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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