In edge computing, users can enjoy various applications without depending on limitations of mobile devices by task offloading. However, a large number of tasks will be offloaded to distant cloud servers when an edge server's load is too heavy. The long distance between users and cloud servers significantly degrades the quality of mobile applications. To prevent this problem, we propose flow splitting and aggregation schemes to improve offload delay to cloud servers in edge computing and show the effectiveness of our scheme through simulation evaluations.

Non-Orthogonal Multiple Access is one of the most important technologies in 5G and Beyond 5G wireless communications, which improve system performance by power domain multiplexing. In realizing Non-Orthogonal Multiple Access, the pairing of multiple users is necessary where efficient principles are highly demanded in dynamically changing electromagnetic environments. In the meantime, ultrafast methods of solving multi-armed bandit problems have been developed using chaotic laser time series. In this paper, we consider the user pairing problem in Non-Orthogonal Multiple Access as a multi-armed bandit problem and propose an ultra-fast user pairing algorithm based on the laser chaos decision maker. We numerically demonstrate that the proposed scheme accomplishes higher throughputs compared with traditional user pairing algorithms, especially in cases with lower user density.

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Laser chaos decision-maker has been demonstrated to enable ultrahigh-speed decision-making in solving multi-armed bandit (MAB) problems in the GHz order. In addition to recent intensive studies of photonic information processing devices and systems, the pursuit of novel applications is important, which is also demanded from future technologies, including Beyond 5G context. In this paper, we examine the applicability to dynamic channel bonding (DCB), which has been introduced in wireless local area networks (WLANs), and demonstrate a method for achieving higher data rate transmissions while avoiding interference. First, we propose a DCB method utilizing laser chaos decision-maker. Second, we design two hierarchical trees for decision making, that is, DCB selection. Third, we experimentally implement our proposed methods in a practical WLAN and confirm its operational ability. We analyze the parameter of the proposed method and compare the proposed method with conventional decision-making algorithms of -greedy and UCB1-tuned. We show that our proposed method demonstrates better DCB decisions than the other decision-making algorithms. Furthermore, we demonstrate that in DCB, the design method of the hierarchical trees or the parameter for the proposed method influences the performance of decision making.

Verrucous carcinoma (VC) is a rare subtype of squamous cell carcinoma. VC commonly occurs in the mucosa, but rarely occurs in the skin. The treatment for VC is surgical removal of the tumor. Because lymph node metastasis of VC is rare, the indications for prophylactic neck dissection for cutaneous VC of the neck are controversial. Here, we present the case of a 68-year-old man with a huge cutaneous VC of the neck and the long-term clinical course. The tumor occupied the entire right cervical skin, with suspected lymph node metastasis in the affected neck. Tumor resection and neck lymph node dissection were performed. Pathological examination revealed cutaneous VC with invasion to the adjacent tissues and no lymph node metastasis. Cutaneous VC of the neck is likely to grow locally without regional lymph node metastasis regardless of the long-term course and the size of the tumor.