Terahertz (THz) communication can provide high-capacity data transmissions benefiting from the ultra-broad bandwidth, but suffers from severe propagation loss and line-of-sight (LoS) blockage that limits the network coverage. To compensate for the loss, narrow beams are required. But they in turn bring in THz narrow beam alignment challenges in mobile networks, resulting in poor link connection and severe latency that degrades the network performance. This paper exploits integrated sensing and communication (ISAC) technology to reduce the THz beam misalignment caused by LoS blockage and user mobility. In line with the 5G-specified beam management, we propose a joint reference signal (RS) and the synchronization signal block (SSB)-based sensing scheme to predict the need for beam switches, and signalling in advance to prevent beam misalignment, named the joint SSB and RS-based sensing (JSRS) scheme. By reducing the impact of imperfect sensing, we further provide a time-frequency sensing resource allocation scheme that minimizes the beam misalignment probability. Considering the sensing trade-offs and THz features, we provide stochastic geometry-based expressions for coverage probability and network throughput, revealing design insights into ISAC-THz network deployment and resource allocation. In urban use cases tested, numerical results show that the JSRS scheme averagely reduces 80% probability of beam misalignment, and enhances the coverage probability by about 75%, compared to the network with 5G-required positioning ability. Despite the imperfect sensing accuracy, JSRS scheme can achieve comparable performance to that of the ideal-sensing case. By exploiting the angular perception ability of directional beams, JSRS scheme helps mitigate the challenge of narrow beam management to enhance the network coverage and throughput, showing the great potential of ISAC-aided THz communication.
翻译:Terahertz (Thz) 通信可以提供高容量数据传输,受益于超广宽带宽,但会遭受严重的传播损失和限制网络覆盖的视线阻塞。为了弥补损失,需要使用窄梁。但是它们反过来会给移动网络带来Thz狭窄的波束调整挑战,导致连接不畅和严重悬浮,降低网络绩效。本文利用综合遥感和通信技术来减少由LOS阻塞和用户移动造成的Thz波纹错位。根据5G-指定的能力定位管理,我们提议联合参考信号(RS)和同步信号块(SSB),以预测需要以铃形开关,并提前发出信号,以防止信号线性不匹配,从而导致连接不畅通和基于RS(JSRS) 的联合感应变(ISAC) 计划。通过降低基于测试的感知效果,我们进一步提供时间-频率资源配置计划,以最大限度地减少错误的感光度、能力比值直径可比较的图像,通过IM-RIS-RA 的预估测,通过IM IM IM IM 显示IM IM IM IM 显示 IM IM IM IM IM 显示 IM IM IM IM IM IM IM 显示 IM IM IMD IM IM IM IM 显示 IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM IM 显示 显示 IM IM IM IM 。