• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4595-4610
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• 2020

In the practical communication environment, the accurate channel state information (CSI) is difficult to obtain, which will cause the mismatch of resource and degrade the system performance. In this paper, to account for the channel uncertainties, a robust power allocation scheme for a downlink Non-orthogonal multiple access (NOMA) heterogeneous network (HetNet) is designed to maximize energy efficiency (EE), which can ensure the quality of service (QoS) of users. We conduct the robust optimization model based on worse-case method, in which the channel gains belong to certain ellipsoid sets. To solve the non-convex non-liner optimization, we transform the optimization problem via Dinkelbach method and sequential convex programming, and the power allocation of small cell users (SCUs) is achieved by Lagrange dual approach. Finally, we analysis the convergence performance of proposed scheme. The simulation results demonstrate that the proposed algorithm can improve total EE of SCUs, and has a fast convergence performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.20-39
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• 2020

This paper considers a downlink multi-carrier cooperative non-orthogonal multiple access (NOMA) transmission, where no direct link exists between the far user and the base station (BS), and the communication between them only relies on the assist of the near user. Firstly, the BS sends a superimposed signal of the far and the near user to the near user, and then the near user adopts simultaneous wireless information and power transfer (SWIPT) to split the received superimposed signal into two portions for energy harvesting and information decoding respectively. Afterwards, the near user forwards the signal of the far user by utilizing the harvested energy. A minimum data is required to ensure the quality of service (QoS) of the far user. We jointly optimize power allocation, subcarrier allocation, time allocation, the power allocation (PA) coefficient and the power splitting (PS) ratio to maximize the number of data bits received at the near user under the energy causality constraint, the minimum data constraint and the transmission power constraint. The block-coordinate descent method and the Lagrange duality method are used to obtain a suboptimal solution of this optimization problem. In the final simulation results, the superiority of the proposed NOMA scheme is confirmed compared with the benchmark NOMA schemes and the orthogonal multiple access (OMA) scheme.

• Journal of Communications and Networks
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• 제18권1호
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• pp.112-122
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• 2016

Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권12호
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• pp.2957-2986
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• 2013

The traditional approach of fixed spectrum allocation to licensed networks has resulted in spectrum underutilisation. Cognitive radio technology is envisioned as a promising solution that can be used to resolve the ineffectiveness of the fixed spectrum allocation policy by accessing the underutilised spectrum of existing technologies opportunistically. The implementation of cognitive radio networks (CRNs) faces distinct challenges due to the fact that two systems (i.e., cognitive radio (CR) and primary users (PUs)) with conflicting interests interact with each other. Specially, in self-organised systems such as ad-hoc CRNs (AHCRNs), the coordination of spectrum access introduces challenges to researchers due to rapid utilisation changes in the available spectrum, as well as the multi-hop nature of ad-hoc networks, which creates additional challenges in the analysis of resource allocation (e.g., power control, channel and rate allocation). Instead, game theory has been adopted as a powerful mathematical tool in analysing and modelling the interaction processes of AHCRNs. In this survey, we first review the most fundamental concepts and architectures of CRNs and AHCRNs. We then introduce the concepts of game theory, utility function, Nash equilibrium and pricing techniques. Finally, we survey the recent literature on the game theoretic analysis of AHCRNs, highlighting its applicability to the physical layer PHY, the MAC layer and the network layer.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2011년도 추계학술대회
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• pp.86-87
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• 2011

본 논문에서는 상향링크 다중 사용자 MIMO-OFDM 시스템을 위한 새로운 자원 할당 기법을(resource allocation) 제안한다. 제안된 자원 할당 기법에서는 각 사용자별 전송전력 제한을 만족하면서 주파수 효율이(spectral efficiency) 최대화 되도록 사용자들에게 부반송파와(subcarrier) 전력을(power) 할당한다. 모의 실험 결과에서는 제안된 기법이 기존 기법에 비해 주파수 효율이 증가됨을 보이고 있다.

• Journal of Information Processing Systems
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• 제5권2호
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• pp.87-96
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• 2009

Grid computing is a new technology which involves efforts to create a huge source of processing power by connecting computational resources throughout the world. The key issue of such environments is their resource allocation and the appropriate job scheduling strategy. Several approaches to scheduling in these environments have been proposed to date. Market driven scheduling as a decentralized solution for such complicated environments has introduced new challenges. In this paper the bidding problem with regard to resources in the reverse auction resource allocation model has been investigated and the new bidding strategies have been proposed and investigated.

• 한국통신학회논문지
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• 제40권1호
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• pp.32-42
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• 2015

본 논문에서는 LTE (Long Term Evolution)-Advanced 상향링크에서 제한된 자원을 보다 효율적으로 사용하기 위하여 하나의 셀룰러 링크와 다수의 D2D (Device-to-Device) 링크가 자원을 공유하는 시나리오를 고려하였다. 이때, 발생하는 간섭현상을 해결하기 위하여 본 논문에서는 eNB (evolved Node B)에게 영역 정보를 알릴 수 있는 DME (Discovery and Management Entity)라는 보조 장치를 고정위치에 설치한 후, 동일한 자원을 공유하는 CUE (Cellular User Equipment)가 DUE Rx (D2D UE Receiver)에게 주는 간섭을 회피하기 위하여 DME의 영역 정보기반 자원할당 기법을 제안하였고 더 나아가, 앞에서 제기한 영역 정보를 기반으로 자원을 할당한 후, 동일한 자원을 공유하는 D2D 링크들 사이의 간섭을 완화하기 위한 전력제어 기법을 제안하였다. 모의실험을 통하여 비교 및 분석한 결과 D2D 통신의 안정성이 향상되었고 전체시스템 성능도 우수하다는 것을 검증하였다.

• 한국통신학회논문지
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• 제40권5호
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• pp.826-832
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• 2015

무선 네트워크에서 서비스 공급자 및 고객을 동시에 만족시키기 위해서는 전력 효율성과 수신기 공평성 보장이 중요하다. 본 논문에서는, 최적화 기법에 기반하여 무선 네트워크의 전력 효율성과 수신기 공평성을 동시에 향상시키는 자원 할당 방안을 제안한다. 제안 방안에서는 채널 상황, 사용되는 전력량, 수신기 별 데이터 전송률을 동시에 고려하여 전력 효율성과 수신기 공평성을 높이는 방향으로 반복적으로 서브채널 및 파워를 할당한다. 시뮬레이션을 통하여 전력 효율성과 수신기 공평성 관점에서 제안하는 기법의 효율성 및 우수성을 증명한다.

• 한국통신학회논문지
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• 제39A권10호
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• pp.601-609
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• 2014

본 논문에서는 다중 셀 환경에서 단말 간 직접 통신 (D2D: Device-to-Device)에 적합한 자원 할당 방식을 제안한다. 제안한 방식은 셀 간 간섭을 해결하기 위해 D2D 통신을 위한 자원 그룹을 할당하고, 이러한 자원 정보를 이웃 셀과 공유하는 절차를 수행한다. 또한, 셀 간 간섭을 감소시키기 위해 D2D 통신 링크 간 파워 조절 기법을 제안한다. 시뮬레이션 결과에 의하면, 셀 간 협력 자원 할당 방식은 셀룰러 상향링크와 D2D 통신 링크의 평균 SINR (Signal-to-Noise Ratio)을 10 dB 이상 유지시킬 수 있는 반면, 셀 간 비협력 자원 할당 방식은 D2D 통신링크의 평균 SINR이 0 dB 까지 저하되었다. 또한, 제안한 방식은 셀 간 비협력 자원 할당 방식보다 셀 처리율을 8 % 향상시킬 수 있었다.

• 전기학회논문지
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• 제59권2호
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• pp.407-410
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• 2010

This paper presents an advanced load allocation algorithm in Direct Load Control(DLC) system. It is important to aggregate a various demand side resource which is surely controllable at the peak power time for a successful DLC system. Previous load allocation algorithm appropriate for DLC system is based on interchanged information, but, this algorithm can not derive optimal solutions. In this paper, we develop the optimal algorithm and the new load allocation algorithm in polynomial time. The simulation results show that the proposed heuristic algorithm for DLC system is very effective.