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Latency Optimization for Computation Offloading With Hybrid NOMA–OMA Transmission
IEEE Internet of Things Journal ( IF 10.6 ) Pub Date : 2021-01-29 , DOI: 10.1109/jiot.2021.3055510
Lina Liu 1 , Bo Sun 1 , Yuan Wu 2 , Danny H. K. Tsang 1
Affiliation  

The Internet-of-Things (IoT) platform is faced with critical challenges posed by the conflict between resource-hungry IoT applications and resource-constrained IoT devices. Mobile-edge computing provides a promising solution by allowing IoT devices to offload their computation to nearby edge servers to enable fast and energy-efficient data processing. In this article, we study a scenario, where two IoT users (IoT devices) offload their computation workloads to an edge server with hybrid nonorthogonal multiple access (NOMA)–orthogonal multiple access (OMA) transmission. The hybrid multiple access transmission incorporates three offloading methods, namely, hybrid NOMA, pure NOMA, and pure OMA. The offloading-method selection, together with user selection, which determines the roles played by different IoT users in data transmission, comprises our offloading strategy and is optimized to minimize the maximal offloading latency of the two IoT users. By exploiting the method of successive convex approximation, we design an efficient algorithm to solve the complicated nonconvex problem and rigorously prove the convergence of our algorithm. Extensive numerical tests show that our scheme can always help IoT users to flexibly choose the best offloading strategy. Inspired by experimental observations, we analytically establish the criteria for the three offloading methods. We show that pure OMA transmission is never the best offloading method, except in some extreme cases that rarely occur in practice, while pure NOMA transmission is the most desirable offloading method in terms of latency minimization. We then propose detection approaches for the best offloading strategy with both offloading-method selection and user selection under certain system settings. The user selection is applied to avoid the pure OMA transmission and encourage the pure NOMA transmission.

中文翻译:

混合NOMA–OMA传输的计算卸载延迟优化

物联网(IoT)平台面临资源紧缺的IoT应用程序和资源受限的IoT设备之间的冲突所带来的重大挑战。移动边缘计算通过允许IoT设备将其计算分流到附近的边缘服务器以实现快速且节能的数据处理,从而提供了一种有前途的解决方案。在本文中,我们研究了一个场景,其中两个IoT用户(IoT设备)将其计算工作负载卸载到具有混合非正交多路访问(NOMA)-正交多路访问(OMA)传输的边缘服务器。混合多址传输结合了三种卸载方法,即混合NOMA,纯NOMA和纯OMA。卸载方法选择与用户选择一起确定了不同物联网用户在数据传输中所扮演的角色,包含我们的卸载策略,并进行了优化以最小化两个IoT用户的最大卸载延迟。通过利用逐次凸逼近法,设计了一种有效的算法来解决复杂的非凸问题,并严格证明了算法的收敛性。大量的数值测试表明,我们的方案始终可以帮助IoT用户灵活选择最佳的卸载策略。受实验观察的启发,我们分析性地建立了三种卸载方法的标准。我们表明,纯OMA传输永远不是最好的卸载方法,除非在实践中很少发生的一些极端情况下,而就延迟最小化而言,纯NOMA传输是最理想的卸载方法。然后,在某些系统设置下,我们提出了针对卸载策略选择和用户选择的最佳卸载策略的检测方法。用户选择可避免纯OMA传输并鼓励纯NOMA传输。
更新日期:2021-04-09
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