| RIZKY PRATAMA HUDHAJANTO | D, 中間発表 | ネットワークシステム学 | 岡田 実, | 林 優一, | 東野 武史, | DUONG QUANG THANG, | CHEN Na |
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title: Symbol Level Precodng in Satellite Communication System
abstract: Integrating terrestrial and satellite communication systems is promising approach for achieving global coverage in 5G and beyond. However, there are still many challenges to be faced when implementing this satellite system. In the lates satellite technology, namely High-Throughput Satellites (HTS) using Multibeam schemes, interference arises and leads to performance degradation. In this research presentation, we will discuss how Symbol Level Precoding (SLP) can serve as a solution to overcome this interference problem. Additionally, we will discuss our original SLP which enhances performance and reduces system complexity, special designed for Satellite Communication System. language of the presentation: ENGLISH | |||||||
| BIN BHUTTO ADIL | M, 2回目発表 | サイバーレジリエンス構成学 | 門林 雄基, | 岡田 実, | 妙中 雄三, | ||
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title: Performance Challenges in Containerized Networking: Latency, Jitter, and Bandwidth Beyond 5G
abstract: The advent of Network Function Virtualization (NFV) has transitioned network processing from specialized hardware to adaptable commodity servers, a shift that continues to evolve. Emerging industrial applications, the Internet of Things (IoT), and technologies such as augmented, virtual, and mixed reality (AR/VR/MR) demand networks capable of handling event-based operations and middleware with exceptionally low and predictable latency, posing significant performance optimization challenges for packet processing in layered infrastructures. This study explores the implementation challenges of such network infrastructures using general-purpose hardware, driven by the flexibility to realize telco-cloud and the potential to reduce electronic waste. Focusing on containerized network functions (CNFs) within the NFV framework, we investigate performance limitations, particularly high jitter and throughput variation in packet forwarding. We conducted ten experiments using a network function implemented with the industry-standard user-space I/O architecture DPDK in bare-metal and containerized environments, within a 40 GbE setup, measuring throughput, latency, and jitter across various packet sizes, traffic rates, and system configurations. Our findings indicate that adjusting CPU settings can significantly enhance throughput for CNFs, albeit with a potential increase in jitter. CNFs were found to be feasible for latency-sensitive tasks under conditions of low traffic and specific packet sizes, and with careful system-level configuration, they show promise for use in beyond 5G cloud-native networking. This research provides insights into the effect of CPU configurations on the latency and jitter of CNFs, examining the correlation between CNF performance and CPU performance and idle states, and identifying bottlenecks within the CNF architecture that lead to poorer performance compared to bare-metal NFs. The results offer valuable guidance for designing high-performance CNFs with manageable latency and jitter. language of the presentation: English | |||||||
| SYAFRUDIN RAIS AKHDAN | M, 1回目発表 | ヒューマンロボティクス | 和田 隆広, | 松原 崇充, | 織田 泰彰, | 劉 海龍 | |
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title: *** PRIORITIZING HUMAN PATHWAYS IN THE DEVELOPMENT OF QUADRUPEDAL GUIDE ROBOTS *** abstract: *** Due to the limited availability of guide dogs and the high cost of training, quadrupedal robots offer a more affordable and faster training alternative. This research develops a guide robot system that prioritizes human movement using a human-robot interaction model and the Point LIO SLAM algorithm for robot localization, combined with OpenPose for human movement detection. Experiments indicate that human movement tracking can be performed accurately despite challenges such as lateral movement and loss of detection during aggressive robot maneuvers. The study concludes that integrating path planning for human using human movement detection and a rigid harness can significantly improve user accuracy and safety, by focusing research on how robots guide humans to stay on a specified path. Future developments aim to shift path planning focus from the robot to the human, optimizing overall guidance effectiveness. *** language of the presentation: *** English *** | |||||||
| 松本 暖樹 | M, 1回目発表 | ヒューマンロボティクス | 和田 隆広 | 松原 崇充, | 織田 泰彰, | 劉 海龍 | |