Achieving full mutualism with massive passive devices for multiuser MIMO symbiotic radio

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Science China Information Sciences Pub Date : 2024-08-15 DOI:10.1007/s11432-024-4066-7
Jingran Xu, Zhuoyin Dai, Yong Zeng, Shi Jin, Tao Jiang
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Abstract

Symbiotic radio (SR) is one of the attractive communication technologies to facilitate large-scale Internet of Things (IoT) connections with enhanced energy and spectrum efficiency, where passive backscatter devices (BDs) modulate their information over the radio frequency (RF) signals emitted by the active primary transmitters (PTs). Meanwhile, the primary transmission can be strengthened with the additional multipaths created by BDs. To capitalize to a greater extent on the mutualism relationship between the two types of communication, this paper studies multiple-input multiple-output (MIMO) SR communication systems including multiple PTs and massive BDs. We derive the achievable rate expressions of each PT and BD, as well as the sum rate expressions of primary and secondary communication, respectively. Then asymptotic analysis is given to derive the active and passive communication rates with a large number of BDs. Furthermore, for the general case with a finite number of BDs, we study the precoding optimization problem to maximize the sum rate of primary communication, while ensuring that the sum rate of secondary communication and the individual rate for each PT and BD in the prescribed active and passive user sets satisfy the specified thresholds. Simulation results are presented to verify the analytical studies.

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利用海量无源设备实现多用户多输入多输出共生无线电的完全互操作性
共生无线电(SR)是促进大规模物联网(IoT)连接的极具吸引力的通信技术之一,可提高能源和频谱效率,其中无源反向散射设备(BD)可将其信息调制在有源主发射机(PT)发射的射频(RF)信号上。同时,主发射器可通过 BD 产生的额外多径来加强主发射。为了在更大程度上利用这两种通信之间的相互关系,本文研究了包括多个 PT 和大量 BD 的多输入多输出(MIMO)SR 通信系统。我们分别推导出每个 PT 和 BD 的可实现速率表达式,以及主通信和辅助通信的总速率表达式。然后进行渐近分析,推导出大量 BD 的主动和被动通信速率。此外,对于 BD 数量有限的一般情况,我们研究了预编码优化问题,以最大化一次通信的总速率,同时确保二次通信的总速率以及规定的主动和被动用户集中每个 PT 和 BD 的单独速率满足指定的阈值。仿真结果将用于验证分析研究。
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
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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