This letter introduces weighted sum power (WSP), a new performance metric for wireless resource allocation during cooperative spectrum sharing in cognitive radio networks, where the primary and secondary nodes have different priorities and quality of service (QoS) requirements. Compared to using energy efficiency (EE) and weighted sum energy efficiency (WSEE) as performance metrics and optimization objectives of wireless resource allocation towards green communication, the linear character of WSP can reduce the complexity of optimization problems. Meanwhile, the weights assigned to different nodes are beneficial for managing their power budget. Using WSP as the optimization objective, a suboptimal resource allocation scheme is proposed, leveraging linear programming and Newton's method. Simulations verify that the proposed scheme provides near-optimal performance with low computation time. Furthermore, the initial approximate value selection in Newton's method is also optimized to accelerate the proposed scheme.

翻译：本通信提出了一种用于认知无线电网络协作频谱共享中无线资源分配的新性能度量——加权总功率（WSP）。在该场景中，主节点与次节点具有不同的优先级和服务质量（QoS）要求。相较于将能量效率（EE）和加权总能量效率（WSEE）作为面向绿色通信的无线资源分配的性能度量和优化目标，WSP的线性特性能够降低优化问题的复杂度。同时，分配给不同节点的权重有助于管理其功率预算。以WSP为优化目标，本文提出了一种利用线性规划和牛顿法的次优资源分配方案。仿真验证了所提方案能以较低的计算时间提供接近最优的性能。此外，还对牛顿法中的初始近似值选择进行了优化，以加速所提方案。