论文标题
表征共生无线电通信的能源效率区域
Characterizing the Energy-Efficiency Region of Symbiotic Radio Communications
论文作者
论文摘要
共生无线电（SR）通信是一项有前途的技术，可以通过使无源反向散射设备（BDS）重用频谱，还可以使主动初级传输器（PTS）的功率重复使用，以实现频谱和节能无线通信。在本文中，我们旨在表征多输入单输出（MISO）SR系统的能源效率（EE）区域，该系统定义为主动PT和被动BD的所有可实现的EE对。为此，我们首先得出了PT和BD的最大个性EE，并表明这两个EE之间存在非平凡的权衡。为了表征这种权衡，提出了优化问题，以通过优化发射光束成形和功率分配来找到EE区域的帕累托边界。公式的问题是非凸面，难以直接解决。提出了基于连续凸近似（SCA）的有效算法，以找到Karush-Kuhn-Tucker（KKT）解决方案。提供了仿真结果，以表明所提出的算法能够有效地表征SR通信系统的EE区域。
Symbiotic radio (SR) communication is a promising technology to achieve spectrum- and energy-efficient wireless communication, by enabling passive backscatter devices (BDs) reuse not only the spectrum, but also the power of active primary transmitters (PTs). In this paper, we aim to characterize the energy-efficiency (EE) region of multiple-input single-output (MISO) SR systems, which is defined as all the achievable EE pairs by the active PT and passive BD. To this end, we first derive the maximum individual EE of the PT and BD, respectively, and show that there exists a non-trivial trade-off between these two EEs. To characterize such a trade-off, an optimization problem is formulated to find the Pareto boundary of the EE region by optimizing the transmit beamforming and power allocation. The formulated problem is non-convex and difficult to be directly solved. An efficient algorithm based on successive convex approximation (SCA) is proposed to find a Karush-Kuhn-Tucker (KKT) solution. Simulation results are provided to show that the proposed algorithm is able to effectively characterize the EE region of SR communication systems.
