数字与混合预编码及射频链选择设计用于能量高效的多用户MIMO-OFDM ISAC系统
Digital and Hybrid Precoding and RF Chain Selection Designs for Energy Efficient Multi-User MIMO-OFDM ISAC Systems
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中文总结 AI 辅助
本文针对多用户MIMO-OFDM ISAC系统，提出联合预编码与射频链选择设计，通过优化提升能效与感知性能的权衡。
中文摘要 AI 辅助
利用多输入多输出（MIMO）与正交频分复用（OFDM）进行集成感知与通信（ISAC）近年来引起了广泛关注。尽管大多数现有研究侧重于提高MIMO-OFDM ISAC性能，但发射功率和射频（RF）电路功率消耗对能效（EE）的影响仍相对研究较少。为解决这一差距，本文研究了多用户MIMO-OFDM ISAC系统中的联合预编码和射频链选择，并通过预编码和射频链激活的联合优化，为全数字和混合预编码架构开发了能效设计。具体而言，我们首先提出了一个新颖的能效最大化问题，该问题受感知性能约束。然后，为两种架构提出了高效的优化算法，并分析了它们的计算复杂性和收敛行为。基于所提出的方案，还提供了频谱效率-功率消耗权衡设计。仿真结果表明，与现有方案相比，所提出的方法在ISAC系统的能效-感知权衡方面实现了显著改进。
英文摘要
Using multiple-input multiple-output (MIMO) with orthogonal frequency division multiplexing (OFDM) for integrated sensing and communication (ISAC) has attracted considerable attention in recent years. While most existing works focus on improving MIMO-OFDM ISAC performance, the impact of transmit power and radio-frequency (RF) circuit power consumption on energy efficiency (EE) remains relatively underexplored. To address this gap, this paper investigates joint precoding and RF chain selection for multi-user MIMO-OFDM ISAC systems, and develops energy-efficient designs for both fully digital and hybrid precoding architectures through the joint optimization of precoding and RF-chain activation. Specifically, we first formulate a novel EE maximization problem subject to sensing performance constraints. Then, efficient optimization algorithms are proposed for both architectures, together with analyses of their computational complexity and convergence behavior. Building on the proposed approaches, spectral efficiency-power consumption tradeoff designs are also provided. Simulation results demonstrate that, compared with existing schemes, the proposed approaches achieve significant improvements in the EE-sensing tradeoff for ISAC systems.
