雾状无线接入网中计算分流的资源分配

Shuqing Bu, Tiezhu Zhao, Zhenping Yin
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引用次数: 1

摘要

雾无线接入网(F-RAN)是未来无线网络的一种很有前途的模式,它呈现出通信与计算相结合的趋势。本文研究了考虑计算资源和无线资源的f - ran计算卸载的资源分配问题。为了在能耗和卸载延迟方面使总成本最小,建立了一个联合优化问题,对卸载决策、cpu周期频率和发射功率控制进行优化。为了解决这一非线性非凸问题,我们提出了一种迭代算法,可以证明该算法收敛于平稳最优解。最后,给出了仿真结果,证明了所提出的联合优化算法的收敛性能和总成本性能的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resource Allocation for Computation Offloading in Fog Radio Access Networks
Fog radio access network (F-RAN) is a promising paradigm for the future wireless networks, it shows a trend of integrating communication and computation. In this paper, we study resource allocation for computation offloading in F-RANs, in which the computation and radio resources are considered. To minimize the total cost with respect to the energy consumption and the offloading latency, a joint optimization problem is formulated to optimize the offloading decision, the CPU-cycle frequency and the transmit power control. To solve this non-linear and non-convex problem, we propose an iterative algorithm, which can be proved to converge a stationary optimal solution. Finally, we provide the simulation results to show the convergence performance and the total cost performance gains of our proposed joint optimization algorithm.
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