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Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing

机译:带有移动边缘计算的无线蜂窝网络中的计算分流和资源分配

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摘要

Mobile edge computing has risen as a promising technology for augmenting the computational capabilities of mobile devices. Meanwhile, in-network caching has become a natural trend of the solution of handling exponentially increasing Internet traffic. The important issues in these two networking paradigms are computation offloading and content caching strategies, respectively. In order to jointly tackle these issues in wireless cellular networks with mobile edge computing, we formulate the computation offloading decision, resource allocation and content caching strategy as an optimization problem, considering the total revenue of the network. Furthermore, we transform the original problem into a convex problem and then decompose it in order to solve it in a distributed and efficient way. Finally, with recent advances in distributed convex optimization, we develop an alternating direction method of multipliers-based algorithm to solve the optimization problem. The effectiveness of the proposed scheme is demonstrated by simulation results with different system parameters.
机译:移动边缘计算已经成为增强移动设备计算能力的有前途的技术。同时,网络内缓存已成为处理指数级增长的Internet流量解决方案的自然趋势。这两个网络范例中的重要问题分别是计算卸载和内容缓存策略。为了通过移动边缘计算共同解决无线蜂窝网络中的这些问题,我们考虑到网络的总收入,将计算分流决策,资源分配和内容缓存策略制定为优化问题。此外,我们将原始问题转换为凸问题,然后对其进行分解,以便以分布式有效的方式解决它。最后,随着分布式凸优化的最新进展,我们开发了一种基于乘数算法的交替方向方法来解决优化问题。通过不同系统参数的仿真结果证明了该方案的有效性。

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