The explosive growth of end devices and mobile applications calls for novel schemes that can enable computation-hungry applications at small end-devices and meet the massive connectivity requirement. Cognitive radio (CR), non-orthogonal multiple access (NOMA) and multi-access edge computing (MEC) are envisioned as the key technologies in fifth-generation and beyond. In this work, the authors introduce the concept of CR-NOMA in MEC offloading, where a secondary user (SU) can utilise the spectrum allocated to a primary user (PU) to offload its computation task to the MEC server for remote execution. For the spectrum utilisation, an equation to specify the minimum transmit power that must be allocated to the PU is derived. The authors also develop an algorithm to determine the offloading decision (i.e. offloading or not) and the paired PU (i.e. subcarrier used for computation offloading) for SUs, using one-to-one matching game. Moreover, through numerical simulations, the authors demonstrate the superior performance of the proposed algorithm compared with several baseline schemes.

中文翻译：

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支持认知无线电且支持NOMA的多路访问边缘计算系统中的计算分流

终端设备和移动应用程序的爆炸性增长要求采用新颖的方案，这些方案可以在小型终端设备上实现需要大量计算的应用程序，并满足庞大的连接性要求。认知无线电（CR），非正交多路访问（NOMA）和多路访问边缘计算（MEC）被设想为第五代及以后的关键技术。在这项工作中，作者介绍了MEC卸载中CR-NOMA的概念，其中辅助用户（SU）可以利用分配给主要用户（PU）的频谱将其计算任务卸载到MEC服务器上以进行远程执行。对于频谱利用，导出了一个公式，该公式指定了必须分配给PU的最小发射功率。作者还开发了一种算法来确定卸载决策（即是否卸载）和成对的PU（即 使用一对一匹配博弈对SU进行计算分流的子载波）。此外，通过数值模拟，作者证明了与几种基线方案相比，该算法的优越性能。