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Joint Downlink and Uplink Edge Computing Offloading in Ultra-Dense HetNets

机译:超密集HetNets中的联合下行链路和上行链路边缘计算卸载

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摘要

The deployment of ultra-dense heterogeneous networks (HetNets) are envisioned as the essentials to embrace of intelligent applications for the next-generation wireless networks. For ultra-dense HetNets, the small scale heterogeneous edge servers in macrocell and smallcell, decreasing downlink and uplink communication delay should be attracted more attention for latency-critical intelligent applications. Therefore, we aim at edge computation offloading of joint downlink (DL) and uplink (UL) together with communication and computing resource allocation. Then, we formulate the computation offloading optimization problem into minimizing the overall delay of task while saving energy consumption of user device. However,the joint downlink and uplink computing offloading problem with resource allocation is a mixed binary integer programming which is difficult to deal with. We convert the programming problem into resource allocation sub-problem and computing offloading sub-problem, and propose an efficient joint downlink and uplink offloading algorithm for ultra-dense HetNets. Numerical results validate the efficiency of the proposed algorithm in terms of the delay and energy saving of system.
机译:设想将超密集异构网络(HetNets)的部署作为拥抱下一代无线网络智能应用程序的基本要素。对于超密集型HetNet,宏小区和小型小区中的小型异构边缘服务器,减少下行链路和上行链路通信延迟应引起对延迟关键型智能应用的更多关注。因此,我们致力于联合下行链路(DL)和上行链路(UL)的边缘计算分流,以及通信和计算资源分配。然后,我们将计算卸载优化问题公式化为最小化任务的整体延迟,同时节省了用户设备的能耗。然而,具有资源分配的下行链路和上行链路联合计算卸载问题是一个混合二进制整数编程,难以解决。我们将编程问题转化为资源分配子问题和计算卸载子问题,并提出了一种针对超密集HetNets的有效的下行和上行联合卸载算法。数值结果验证了该算法在系统延迟和节能方面的有效性。

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