迈向服务均衡的ISAC：从耦合RAN到解耦RAN
Toward Service-Balanced ISAC: From Coupled RAN to De-Coupled RAN
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中文总结 AI 辅助
本文从服务均衡ISAC视角，分析从耦合RAN到解耦RAN的架构演进，探讨其如何通过覆盖对称性实现通信与感知服务的均衡，并指出实际挑战与未来方向。
中文摘要 AI 辅助
第六代（6G）应用要求无线接入网络（RAN）在其运行区域内支持可靠的通信和无缝的感知。在耦合RAN部署中，共享的下行发射和上行接收站点限制了网络适应非对称链路和不同感知几何结构的能力。解耦RAN（DC-RAN）将这些功能分离，允许独立部署和协调的基站扩展上行和下行通信及感知覆盖。然而，这种灵活性如何转化为均衡的通信和感知服务，仍未得到充分探索。本文从服务均衡的集成感知与通信（ISAC）视角，重新审视了从耦合RAN到DC-RAN的演进。文章考察了架构选择如何影响两种服务的可用性，其中通信-感知覆盖对称性捕捉了在特定应用质量要求下两者的空间对齐。实际挑战包括保持通信一致性、维持感知连续性以及协调分布式资源。两个案例研究展示了DC-RAN如何支持覆盖对称性与一致通信并存，以及互补观测如何维持连续且准确的感知。这些示例为未来面向服务均衡ISAC的研究讨论提供了依据。
英文摘要
Sixth-generation (6G) applications require radio access networks (RANs) to support reliable communication and seamless sensing across their operating regions. In coupled RAN deployments, shared downlink transmitting and uplink receiving sites constrain the network's ability to accommodate asymmetric links and different sensing geometries. De-Coupled RAN (DC-RAN) separates these functions, allowing independently deployed and coordinated base stations to extend uplink and downlink communication and sensing coverage. How this flexibility translates into balanced communication and sensing services, however, remains insufficiently explored. This article revisits the evolution from coupled to DC-RAN from the perspective of service-balanced integrated sensing and communication (ISAC). It examines how architectural choices affect the availability of both services, with communication-sensing coverage symmetry capturing their spatial alignment under application-specific quality requirements. Practical challenges include preserving communication consistency, maintaining sensing continuity, and coordinating distributed resources. Two case studies illustrate how DC-RAN can support coverage symmetry alongside consistent communication, and how complementary observations can sustain continuous and accurate sensing. These examples inform a discussion of future research toward service-balanced ISAC.
发表机构
- The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））
- Peking University（北京大学）
- Harbin Institute of Technology（哈尔滨工业大学）
- Peng Cheng Laboratory（鹏城实验室）
机构由 AI 辅助整理，请以论文原文为准。
