Resource Allocation for Multi-access Edge Computing with Coordinated Multi-Point Reception
Resource Allocation for Multi-access Edge Computing with Coordinated Multi-Point Reception
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DOI：
10.1109/wcnc45663.2020.9120778
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发表时间：
2020-05
期刊：
影响因子：
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通讯作者：
Jian-Jyun Hung;W. Liao;Yi-Han Chiang
中科院分区：
文献类型：
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作者：
Jian-Jyun Hung;W. Liao;Yi-Han Chiang
多址边缘计算（MEC）已成为一种有前途的平台，可以通过部署的边缘服务器为用户设备（UE）提供及时的计算服务。通常，上行链路任务数据的大小（例如，图像或视频）比下行链路任务结果更显著，因此MEC卸载（MECO）在MEC系统的效率中起决定性作用。鉴于下一代移动的网络中UE的空前增长，基站（BS）处的上行链路信号的接收可能由于潜在的用户间干扰而被破坏。为了解决这个问题，使得BS能够协作地接收上行链路信号的协作多点（CoMP）接收已经发展为增强接收信号质量的有效方法。在本文中，我们研究了MECO与CoMP接收的资源分配问题，并制定它作为一个混合整数非线性规划（MINLP）。为了解决这个问题，我们利用干扰图的概念来描述上行链路用户间干扰，并在此基础上提出了一种资源分配算法，该算法包括三个阶段：1）计算资源分配，2）子载波分配和小区分簇，3）子载波重用和小区重新分簇。仿真结果表明，我们提出的解决方案可以有效地提高MECO通过CoMP接收的延迟性能相比，现有的解决方案的方法在各种系统设置。
Multi-access edge computing (MEC) has emerged as a promising platform to provide user equipment (UEs) with timely computational services through the deployed edge servers. Typically, the size of an uplink task data (e.g., images or videos) required for processing is more pronounced than that of a downlink task result, and hence MEC offloading (MECO) plays a decisive role in the efficiency of MEC systems. In the light of an unprecedented growth of UEs in next-generation mobile networks, the reception of uplink signals at base stations (BSs) can be corrupted due to potential inter-user interference. To address this issue, coordinated multi-point (CoMP) reception which enables BSs to cooperatively receive uplink signals has evolved as an effective approach to enhance the received signal qualities. In this paper, we investigate a resource allocation problem for MECO with CoMP reception and formulate it as a mixed-integer non-linear program (MINLP). To solve this problem, we leverage the concept of interference graphs to characterize uplink inter-user interference, based on which we propose a resource allocation algorithm that consists of three phases: 1) computing resource allocation, 2) subcarrier allocation and cell clustering, and 3) subcarrier reuse and cell re-clustering. The simulation results show that our proposed solution can effectively enhance the delay performance of MECO through CoMP reception as compared with existing solution approaches under various system settings.