• 전자통신동향분석
• /
• 제38권6호
• /
• pp.95-106
• /
• 2023

As artificial intelligence has become commonplace in various fields, the transparency of AI in its development and implementation has become an important issue. In safety-critical areas, the eXplainable and/or understandable of artificial intelligence is being actively studied. On the other hand, machine learning have been applied to the intelligence of self-organizing network (SON), but transparency in this application has been neglected, despite the critical decision-makings in the operation of mobile communication systems. We describes concepts of eXplainable machine learning (ML), along with research trends, major issues, and research directions. After summarizing the ML research on SON, research directions are analyzed for explainable ML required in intelligent SON of beyond 5G and 6G communication.

• International journal of advanced smart convergence
• /
• 제12권4호
• /
• pp.20-25
• /
• 2023

Increasing demand for increasing higher data rate in order to solve computationally tasks timely and connecting many user equipment simultaneously have requested researchers to develop novel technology in the area of mobile communications. Intelligent reflecting surface (IRS) have been enabling technologies for commercialization of the fifth generation (5G) networks and the sixth generation (6G) systems. In this paper, we investigate a bit-error rate (BER) analysis on IRS technologies for non-orthogonal multiple access (NOMA) systems. First, we derive a BER expression for IRS-NOMA systems with Rician fading channels. Then, we validate the BER expression by Monte Carlo simulations, and show numerically that BER expressions are in good agreement with simulations. Moreover, we investigate the BER of IRS-NOMA systems with Rician fading channels for various numbers of IRS elements, and show that the BERs improve as the number of IRS elements increases.

• ETRI Journal
• /
• 제44권6호
• /
• pp.945-954
• /
• 2022

The 5G mobile network is promising to handle the dynamic traffic demands of user equipment (UE). Unmanned aerial vehicles (UAVs) equipped with wireless transceivers can act as flying base stations in heterogeneous networks to ensure the quality of service of UE. However, it is challenging to efficiently allocate limited bandwidth to UE due to dynamic traffic demands and low network coverage. In this study, a blockchain-enabled bandwidth allocation framework is proposed for secure bandwidth trading. Furthermore, the proposed framework is based on the Cournot oligopoly game theoretical model to provide the optimal solution; that is, bandwidth is allocated to different UE based on the available bandwidth at UAV-assisted-based stations (UBSs) with optimal profit. The Cournot oligopoly game is performed between UBSs and cellular base stations (CBSs). Utility functions for both UBSs and CBSs are introduced on the basis of the available bandwidth, total demand of CSBs, and cost of providing cellular services. The proposed framework prevents security attacks and maximizes the utility functions of UBSs and CBSs.

• 한국전자통신학회논문지
• /
• 제5권3호
• /
• pp.275-280
• /
• 2010

본 논문에서는 짧은 길이의 패킷을 일정길이를 갖는 하나의 패킷에 취합하여 전송하는 기법인 패킷취합을 MANET(Mobile Ad-hoc Network)에서 전송되는 VoIP(Voice over Internet Protocol) 트래픽에 적용하여 전송성능을 개선하고 그 결과를 측정 분석하였다. 전송성능측정에는 NS(Network Simulator)-2를 기반으로 구현한 VoIP 시뮬레이터를 사용하였다. 시뮬레이션에서 VoIP 트래픽은 G.711, G.729A, GSM.AMR 및 iLBC를 사용하여 생성하였으며, 이 트래픽을 전송하여 MOS(Mean Opinion Score), 종단간 네트워크 지연, 패킷손실율 및 전송대역을 측정하였다. 결과로서 MOS는 약 98%, 종단간 네트워크 지연의 경우 6.4배, 패킷손실율의 경우 32배의 개선을 보였다. 반면에 전송대역은 최대 약 10% 증가하였다. 끝으로 본 논문은 측정된 결과를 토대로 MANET에서 패킷취합을 사용한 VoIP 구현기준을 제시하였다.

• 한국통신학회논문지
• /
• 제33권5A호
• /
• pp.536-541
• /
• 2008

우리에게 다가온 4G 차세대 이동통신 시스템은 유 무선 네트워크의 통합과 더불어 이동성의 증가와 고속 데이터 전송(음성 및 멀티미디어 데이터)을 제공하는 형태로 진화해 나갈 것이다. 여기에서 이동성 지원의 가장 핵심이 될 수 있는 것은 바로 이동하고 있는 단말의 경로 예측이며, 실제로 무선망이 처음 소개되면서 이에 대한 연구가 활발히 있었으나 실제 이동 환경에 적용하기에는 위험부담이 크기 때문에 적용하기가 쉽지 않았다. 본 논문에서는 이러한 문제를 고려하여 기존의 이동성 예측 알고리즘을 기반으로 Signaling Power Level 비교 및 Speed 기반의 예측 기법을 도입하여 실제 환경에 최적화 되어진 예측 알고리즘을 제안하였다. 그리고 기존 예측 알고리즘과 제안하고 있는 예측 알고리즘을 OPNet 시뮬레이션을 통해 비교하여 보았다.

• 디지털융복합연구
• /
• 제17권12호
• /
• pp.197-202
• /
• 2019

4차 산업혁명시대에 발맞춰 통신 기술도 5G 기술이 보편화되고 있으며, 5G 기술은 네트워크 슬라이싱, 초다접속 등의 기술을 이용해 4G에 비해 빠른 속도와 응답 속도를 최소화한 기술로 평가 받고 있다. 5G NR은 5G 이동통신 표준을 의미하고, 네트워크 슬라이싱을 통해 네트워크를 병렬연결로 잘라 네트워크를 최적화한다. 또한 기지국 단위에서도 데이터를 처리하게 되면서 해킹에 대한 위험이 증가 되고 있는 실정이다. 또한, 단위면적당 접속 가능한 기기의 수가 기하급수적으로 늘어나므로 단위면적 내 기기 다수 해킹 후 기지국 공격 가능성 또한 존재한다. 이에 해결 방안으로는 양자암호통신 도입, 5G 보안 표준화 등을 본 연구에서 제안하여 안전성과 통신속도를 전부 만족시키는 방안을 제안한다.

• 정보보호학회논문지
• /
• 제32권5호
• /
• pp.891-898
• /
• 2022

세계적 관심과 함께 드론은 물품 수송, 산림 보호, 안전 관리 등 활용 분야의 저변을 확대해 나가고 있으며 드론은 활용 분야 확대 및 규모 확장에 따라 군사 작전, 환경 감시 등 다양한 분야에서 군집 비행이 응용되고 있다. 현재 국내에서는 특정 산업 분야의 서비스를 위한 이음 5G와 같은 특화망을 구축해 나가고 있다. 이와 관련하여 드론 시스템 또한 AI와 자율비행 등과 융합된 서비스를 제공하기 위해 특화망을 구축하려는 움직임이 보이고 있다. 드론이 여러 서비스와 융합됨에 따라 다양한 환경에서의 다양한 보안 위협 또한 종속되고 있으며, 이에 대응하여 국내에서는 드론 보안에 대한 요구사항과 가이드라인을 마련하고 있는 추세이다. 본 논문에서는 드론 시스템 중 드론의 군집 비행 시스템과 이를 위한 이음 5G와 같은 이동통신 특화망에서 무선랜과 양자 엔트로피 기반 난수 발생기를 탑재한 암호모듈을 활용하여 군집 비행 드론 간 피아식별 및 안전한 정보 제공 기술 방법을 제안하고, 구현에 참고할 수 있는 테스트 벡터를 제공한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권11호
• /
• pp.4268-4290
• /
• 2015

Future mobile communications face enormous challenges as traditional voice services are replaced with increasing mobile multimedia and data services. To address the vast data traffic volume and the requirement of user Quality of Experience (QoE) in the next generation mobile networks, it is imperative to develop efficient content distribution technique, aiming at significantly reducing redundant data transmissions and improving content delivery performance. On the other hand, in recent years cloud computing as a promising new content-centric paradigm is exploited to fulfil the multimedia requirements by provisioning data and computing resources on demand. In this paper, we propose a cooperative caching framework which implements State based Content Distribution (SCD) algorithm for future mobile networks. In our proposed framework, cloud service providers deploy a plurality of cloudlets in the network forming a Distributed Cloud Service Network (DCSN), and pre-allocate content services in local cloudlets to avoid redundant content transmissions. We use content popularity and content state which is determined by content requests, editorial updates and new arrivals to formulate a content distribution optimization model. Data contents are deployed in local cloudlets according to the optimal solution to achieve the lowest average content delivery latency. We use simulation experiments to validate the effectiveness of our proposed framework. Numerical results show that the proposed framework can significantly improve content cache hit rate, reduce content delivery latency and outbound traffic volume in comparison with known existing caching strategies.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권3호
• /
• pp.874-890
• /
• 2021

With the widespread deployment of the fifth-generation (5G) communication networks, various real-time applications are rapidly increasing and generating massive traffic on backhaul network environments. In this scenario, network congestion will occur when the communication and computation resources exceed the maximum available capacity, which severely degrades the network performance. To alleviate this problem, this paper proposed an intelligent resource allocation (IRA) to integrate with the extant resource adjustment (ERA) approach mainly based on the convergence of support vector machine (SVM) algorithm, software-defined networking (SDN), and mobile edge computing (MEC) paradigms. The proposed scheme acquires predictable schedules to adapt the downlink (DL) transmission towards off-peak hour intervals as a predominant priority. Accordingly, the peak hour bandwidth resources for serving real-time uplink (UL) transmission enlarge its capacity for a variety of mission-critical applications. Furthermore, to advance and boost gateway computation resources, MEC servers are implemented and integrated with the proposed scheme in this study. In the conclusive simulation results, the performance evaluation analyzes and compares the proposed scheme with the conventional approach over a variety of QoS metrics including network delay, jitter, packet drop ratio, packet delivery ratio, and throughput.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권12호
• /
• pp.5701-5722
• /
• 2018

The continuous increase in the cost of energy production and concerns for environmental sustainability are leading research communities, governments and industries to amass efforts to reduce energy consumption and global $CO_2$ footprint. Players in the information and communication industry are keen on reducing the operational expenditures (OpEx) and maintaining the profitability of cellular networks. Meanwhile, network virtualization has been proposed in this regard as the main enabler for 5G mobile cellular networks. In this paper, we propose a generic framework of slice resource provisioning and customized physical resource allocation for energy-efficiency and quality of service optimization. In resource slicing, we consider user demand and population resources provisioning scheme aiming to satisfy quality of service (QoS). In customized physical resource allocation, we formulate this problem with an integer non-linear programming model, which is solved by a heuristic algorithm based on minimum vertex coverage. The proposed algorithm is compared with the existing approaches, without consideration of slice resource constraints via system-level simulations. From the perspective of infrastructure providers, traffic is scheduled over a limited number of active small-cell base stations (sc-BSs) that significantly reduce the system energy consumption and improve the system's spectral efficiency. From the perspective of virtual network operators and mobile users, the proposed approach can guarantee QoS for mobile users and improve user satisfaction.