• Journal of Communications and Networks
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• 제18권2호
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• pp.162-172
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• 2016

The placement of the complete baseband processing in a centralized pool results in high data rate requirement and inflexibility of the fronthaul network, which challenges the energy and cost effectiveness of the cloud radio access network (C-RAN). Recently, redesign of the C-RAN through functional split in the baseband processing chain has been proposed to overcome these challenges. This paper evaluates, by mathematical and simulation methods, different splits with respect to network level energy and cost efficiency having in the mind the expected quality of service. The proposed mathematical model quantifies the multiplexing gains and the trade-offs between centralization and decentralization concerning the cost of the pool, fronthaul network capacity and resource utilization. The event-based simulation captures the influence of the traffic load dynamics and traffic type variation on designing an efficient fronthaul network. Based on the obtained results, we derive a principle for fronthaul dimensioning based on the traffic profile. This principle allows for efficient radio access network with respect to multiplexing gains while achieving the expected users' quality of service.

• ETRI Journal
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• 제41권3호
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• pp.348-357
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• 2019

Fog radio access network (F-RAN) architectures provide markedly improved performance compared to conventional approaches. In this paper, an efficient genetic algorithm-based content distribution scheme is proposed that improves the throughput and reduces the transmission delay of a F-RAN. First, an F-RAN system model is presented that includes a certain number of randomly distributed fog access points (F-APs) that cache popular content from cloud and other sources. Second, the problem of efficient content distribution in F-RANs is described. Third, the details of the proposed optimal genetic algorithm-based content distribution scheme are presented. Finally, simulation results are presented that show the performance of the proposed algorithm rapidly approaches the optimal throughput. When compared with the performance of existing random and exhaustive algorithms, that of the proposed method is demonstrably superior.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.896-914
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• 2020

With the rapid growth of network traffic, a large number of connected devices, and higher application services, the traditional network is facing several challenges. In addition to improving the current network architecture and hardware specifications, effective resource management means the development trend of 5G. Although many existing potential technologies have been proposed to solve the some of 5G challenges, such as multiple-input multiple-output (MIMO), software-defined networking (SDN), network functions virtualization (NFV), edge computing, millimeter-wave, etc., research studies in 5G continue to enrich its function and move toward B5G mobile networks. In this paper, focusing on the resource allocation issues of 5G core networks and radio access networks, we address the latest technological developments and discuss the current challenges for resource management in 5G.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 춘계학술발표대회
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• pp.83-85
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• 2016

C-RAN (Cloud Radio Access Network) structure is the most popular approach for 5G stander, it employs CoMP (Coordinated Multiple Points Transmission/Reception) to enhance frequency utilization and increase throughput for cell-edge users. C-RAN mainly includes two parts: baseband units (BBU) and remote radio heads (RRH). In this paper we propose a new resource block allocation (spectrum allocation) scheme by the permutation and combination of BBUs, and we also use the CoMP (Coordinated Multiple Points Transmission/Reception) technique according to the different environment to improve the spectrum utilization and reduce resource waste in different environment. The simulation results expound that the scheme significantly enhances throughput and improves the spectrum utilization.

• 한국컴퓨터정보학회논문지
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• 제17권6호
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• pp.57-66
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• 2012

초고속 전송 속도와 ALL-IP 기술을 기반으로 다양한 이종 접속망과 연동할 LTE-Advanced 망은 다중 모드의 이동단말기와 결합하여 U-cloud Streaming, LBS, 모바일 스마트 TV 와 같이 보다 혁신적이고 매력적인 이동 멀티미디어 응용의 구현을 가능케 할 것이다. 이러한 이동 멀티미디어 서비스를 제공하려면 이동 단말기가 서비스 품질 요구사항이 상이한 다수의 세션을 동시에 지원해야 한다. 특히 핸드오버 시 지연 및 손실에 의해 서비스 지속성에 악영향을 줄 가능성이 있으므로, 다중 세션들의 QoS를 유지하기 위한 효율적인 자원 예약 및 할당 방안이 필요하다. 본 논문은 세션 우선순위와 세션 자원 할당에 근거하여 다중 세션을 효과적으로 수용하기 위한 핸드오버시의 자원 할당 방법을 제안한다. 제안된 기법의 성능을 핸드오버 세션 강제절단률을 척도로 하여 시뮬레이션에 의해 분석한다.

• ETRI Journal
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• 제42권5호
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• pp.643-657
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• 2020

Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on-demand edge cloud services in three-dimensional (3D) space, by incorporating mobile edge computing (MEC) functionalities on aerial platforms and low-orbit satellites. This will extend the MEC support to devices and network elements in the sky and forge a space-borne MEC, enabling intelligent, personalized, and distributed on-demand services. End users will experience the impression of being surrounded by a distributed computer, fulfilling their requests with apparently zero latency. In this paper, we consider an architecture that provides communication, computation, and caching (C3) services on demand, anytime, and everywhere in 3D space, integrating conventional ground (terrestrial) base stations and flying (non-terrestrial) nodes. Given the complexity of the overall network, the C3 resources and management of aerial devices need to be jointly orchestrated via artificial intelligence-based algorithms, exploiting virtualized network functions dynamically deployed in a distributed manner across terrestrial and non-terrestrial nodes.

• 한국전자통신학회논문지
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• 제12권1호
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• pp.75-84
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• 2017

초고속 환경에서 대용량 데이터에 대한 안정적 기록 및 효율적인 데이터 접근의 필요성은 갈수록 높아지고 있다. 이와 관련된 기초과학의 한 분야로 방대한 천체 관측 데이터를 생산하는 VLBI(: Very Long Baseline Interferometer)가 있는데 고분해능, 고감도 관측 연구를 수행하기 위해서는 고성능의 데이터 저장 시스템이 요구된다. 하지만 시장에 출시된 대다수 클라우드 기반 스토리지는 일반 IT, 금융, 행정 서비스 지원을 위한 저용량, 복수 스트림의 비정형 데이터에 최적화되어 있기 때문에 빅 스트림 데이터 기록을 위한 최적의 대안이 될 수 없다. 본 논문에서는 이를 극복하기 위한 방안으로 데이터 입출력 처리에 있어 고성능, 동시성에 최적화된 데이터 저장 시스템을 설계하고자 한다. 이를 위해 멀티 코어 CPU 환경에서 libpcap, pf_ring 등의 API 호출을 통해 패킷 입출력 모듈을 구현하였고 외부로부터 유입되는 데이터를 효율적으로 처리할 수 있도록 소프트웨어 RAID(: Redundant Array of Inexpensive Disks) 기반의 확장성 있는 스토리지를 구축하였다.