Edge caching has received much attention as a promising technique to overcome the stringent latency and data-hungry challenges in the future generation wireless networks. Meanwhile, full-duplex (FD) transmission can potentially double the spectral efficiency by allowing a node to receive and transmit at the same frequency band simultaneously. In this paper, we investigate the delivery time performance of a cache-aided FD system, in which an edge node, operates in FD mode, serves users via wireless channels and is equipped with a cache memory. Firstly, we derive a closed-form expression for the average delivery time by taking into account the uncertainties of both backhaul and access wireless channels. The derived analysis allows the examination of the impact of key parameters, e.g., cache size and transmit power. Secondly, a power optimization problem is formulated to minimize the average delivery time. To deal with the non-convexity of the formulated problem, we propose an iterative optimization algorithm based on the bisection method. Finally, numerical results are presented to demonstrate the effectiveness of the proposed algorithm. A significant delivery time reduction is achieved by the proposed optimization compared to the FD reference and half-duplex counterpart.

边缘缓存作为一种有前途的技术受到了广泛的关注，它可以克服下一代无线网络中的严苛的延迟和数据繁忙的挑战。同时，全双工（FD）传输可以通过允许节点同时在相同频带上进行接收和传输来将频谱效率提高一倍。在本文中，我们研究了高速缓存辅助FD系统的交付时间性能，该系统中的边缘节点以FD模式运行，通过无线通道为用户服务并配备了高速缓存。首先，我们通过考虑回程和接入无线信道的不确定性，得出平均交付时间的闭式表达式。派生的分析允许检查关键参数的影响，例如缓存大小和发射功率。其次，制定了功率优化问题以最大程度地减少平均交付时间。为了解决所提问题的非凸性，我们提出了一种基于二等分法的迭代优化算法。最后，数值结果表明了该算法的有效性。与FD参考和半双工相比，通过建议的优化可显着减少交货时间。