Energy efficiency, possibly coupled with cognition-based and spectrum-sharing architectures, is a key enabling technology for green communications in 5G-and-beyond standards. In this context, the present paper considers a multiple-input multiple-output communication system cooperatively coexisting with a surveillance radar: the objective function is the communication system energy efficiency, while radar operation is safeguarded by constraining the minimum received signal-to-disturbance ratio for a set of range-azimuth cells of the controlled scene, and no time synchronization between them is assumed. The degrees of freedom are the transmit powers of both systems, the space-time communication codebook, and the linear filters at the radar receiver. The resulting optimization problem is non-convex, due to both the objective function and the presence of signal-dependent interference (clutter): we develop a block-coordinate-ascent approximate solution and offer a thorough performance assessment, so as to elicit the merits of the proposed approach, along with the interplay among the achievable energy efficiency, the density of scatterers in the environment, and the size of the set of protected radar cells.

中文翻译：

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雷达通信频谱共享中的能效优化

能源效率，可能与基于认知和频谱共享架构相结合，是 5G 及更高标准中绿色通信的关键使能技术。在此背景下，本文考虑与监视雷达协同共存的多输入多输出通信系统：目标函数是通信系统能效，而雷达运行通过限制最小接收信扰比来保障对于受控场景的一组距离-方位角单元，假设它们之间没有时间同步。自由度是两个系统的发射功率、时空通信码本和雷达接收器的线性滤波器。由此产生的优化问题是非凸的，