With spectrum resources becoming congested and the emergence of sensing-enabled wireless applications, conventional resource allocation methods need a revamp to support communications-only, sensing-only, and integrated sensing and communication (ISaC) services together. In this letter, we propose two joint spectrum partitioning (SP) and power allocation (PA) schemes to maximize the aggregate sensing and communication performance as well as corresponding energy efficiency (EE) of a semi-ISaC system that supports all three services in a unified manner. The proposed framework captures the priority of the distinct services, impact of target clutters, power budget and bandwidth constraints, and sensing and communication quality-of-service (QoS) requirements. We reveal that the former problem is jointly convex and the latter is a non-convex problem that can be solved optimally by exploiting fractional and parametric programming techniques. Numerical results verify the effectiveness of proposed schemes and extract novel insights related to the impact of the priority and QoS requirements of distinct services on the performance of semi-ISaC networks.

翻译：随着频谱资源日益拥挤以及支持感知功能的无线应用的出现，传统资源分配方法亟需革新，以同时支持纯通信、纯感知及集成感知与通信（ISaC）三类服务。本文针对统一支持上述三类服务的半集成感知与通信（semi-ISaC）系统，提出两种联合频谱划分（SP）与功率分配（PA）方案，旨在最大化系统的综合感知与通信性能及其对应的能量效率（EE）。所提框架综合考虑了不同服务的优先级、目标杂波影响、功率预算与带宽约束，以及感知与通信服务质量（QoS）需求。分析表明，前者为联合凸优化问题，后者为非凸问题，可通过利用分数规划与参数规划技术实现最优求解。数值结果验证了所提方案的有效性，并揭示了不同服务的优先级与QoS需求对半集成感知与通信网络性能影响的崭新见解。