In order to efficiently compute the primary data and support the secondary quality-of-service (QoS) requirement, we propose a cooperative hybrid non-orthogonal multiple access (NOMA) scheme for mobile edge computing (MEC) assisted cognitive radio networks. In the proposed scheme, the primary computation task is securely offloaded to the secondary base station, and the hybrid NOMA technique is adopted to provide secondary spectrum access and secure the primary offloading simultaneously. The weighted energy consumption minimization problem for both the primary and secondary systems is first studied under the constraints of the primary system’s secure outage probability and the secondary system’s QoS requirements, and a two-stage algorithm is proposed to derive the optimal power, time slot and computation task allocation. To motivate the secondary system’s cooperation, we optimally allocate the transmit power, time slot and computation task, such that the average secondary system’s rate is maximized under the primary system’s security requirement, and we derive closed-form expressions for the optimal resource allocations. Numerical results demonstrate the performance superiority of the proposed scheme compared with the full-offloading scheme in terms of the energy consumption and the average secondary rate.

中文翻译：

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认知无线电网络中基于协作混合非正交多址的移动边缘计算


为了有效地计算主要数据并支持次要服务质量（QoS）要求，我们提出了一种用于移动边缘计算（MEC）辅助认知无线电网络的协作混合非正交多址（NOMA）方案。在所提出的方案中，主要计算任务被安全地卸载到辅助基站，并采用混合NOMA技术来提供辅助频谱访问并同时确保主要卸载。首先，在主系统安全中断概率和二次系统QoS要求的约束下，研究了主、二次系统的加权能耗最小化问题，提出了一种两阶段算法来推导最优功率、时隙和能量消耗。计算任务分配。为了激励辅助系统的合作，我们优化分配发射功率、时隙和计算任务，使得辅助系统的平均速率在主系统的安全要求下最大化，并推导出最优资源分配的封闭式表达式。数值结果表明，与全卸载方案相比，该方案在能耗和平均二次速率方面具有性能优势。