• Journal of Communications and Networks
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• 제18권5호
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• pp.744-761
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• 2016

For about the past decade and a half research efforts into cognitive radio networks (CRNs) have increased dramatically. This is because CRN is recognized as a technology that has the potential to squeeze the most out of the existing spectrum and hence virtually increase the effective capacity of a wireless communication system. The resulting increased capacity is still a limited resource and its optimal allocation is a critical requirement in order to realize its full benefits. Allocating these additional resources to the secondary users (SUs) in a CRN is an extremely challenging task and integer programming based optimization tools have to be employed to achieve the goals which include, among several aspects, increasing SUs throughput without interfering with the activities of primary users. The theory of the optimization tools that can be used for resource allocations (RA) in CRN have been well established in the literature; convex programming is one of them, in fact the major one. However when it comes to application and implementation, it is noticed that the practical problems do not fit exactly into the format of well established tools and researchers have to apply approximations of different forms to assist in the process. In this survey paper, the optimization tools that have been applied to RA in CRNs are reviewed. In some instances the limitations of techniques used are pointed out and creative tools developed by researchers to solve the problems are identified. Some ideas of tools to be considered by researchers are suggested, and direction for future research in this area in order to improve on the existing tools are presented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.3876-3895
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• 2014

Recently, Heterogeneous Network (HetNet) with Coordinated Multi-Point (CoMP) scheme is introduced into Long Term Evolution-Advanced (LTE-A) systems to improve digital services for User Equipments (UEs), especially for cell-edge UEs. However, Radio Resource Management (RRM), including Resource Block (RB) scheduling and Power Allocation (PA), in this scenario becomes challenging, due to the intercell cooperation. In this paper, we investigate the RRM problem for downlink transmission of HetNet system with Joint Processing (JP) CoMP (both joint transmission and dynamic cell selection schemes), aiming at maximizing weighted sum data rate under the constraints of both transmission power and backhaul capacity. First, joint RB scheduling and PA problem is formulated as a constrained Mixed Integer Programming (MIP) which is NP-hard. To simplify the formulation problem, we decompose it into two problems of RB scheduling and PA. For RB scheduling, we propose an algorithm with less computational complexity to achieve a suboptimal solution. Then, according to the obtained scheduling results, we present an iterative Karush-Kuhn-Tucker (KKT) method to solve the PA problem. Extensive simulations are conducted to verify the effectiveness and efficiency of the proposed algorithms. Two kinds of JP CoMP schemes are compared with a non-CoMP greedy scheme (max capacity scheme). Simulation results prove that the CoMP schemes with the proposed RRM algorithms dramatically enhance data rate of cell-edge UEs, thereby improving UEs' fairness of data rate. Also, it is shown that the proposed PA algorithms can decrease power consumption of transmission antennas without loss of transmission performance.

• 한국정보과학회논문지:정보통신
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• 제36권3호
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• pp.163-172
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• 2009

다중 인터페이스를 가지는 단말들이 다양한 이기종 무선 네트워크 서비스를 사용할 때 사용자의 버티컬 핸드오버가 증가하게 되었고, 이로 인한 네트워크 자원의 통합적인 관리 문제가 대두되고 있다. 이는 이기종 네트워크에서 자원의 통합 관리(Common Radio Resource Management: CRRM)를 통해 효율적으로 해결 될 수 있다. 본 논문에서는 새로운 사용자가 네트워크에 진입할 때 사용자의 요구 사항을 만족하는 네트워크를 선택하는 Integrated Network Selection 알고리즘과 가용자원이 부족하여 새로운 사용자의 요청을 처리할 수 없을 때 기존 사용자를 주변의 네트위크로 버티컬 핸드오버하여 가용자원을 확보하는 Integrated Vertical Handover 알고리즘을 제안하였고, 그 우수성을 시뮬레이션을 통해 검증하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권1호
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• pp.91-107
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• 2014

Device-to-device (D2D) communication is an excellent technology to improve the system capacity by sharing the spectrum resources of cellular networks. Multicast service is considered as an effective transmission mode for the future mobile social contact services. Therefore, multicast based on D2D technology can exactly improve the spectrum resource efficiency. How to apply D2D technology to support multicast service is a new issue. In this paper, a resource allocation scheme based on cognitive radio (CR) for D2D underlay multicast communication (CR-DUM) is proposed to improve system performance. In the cognitive cellular system, the D2D users as secondary users employing multicast service form a group and reuse the cellular resources to accomplish a multicast transmission. The proposed scheme includes two steps. First, a channel allocation rule aiming to reduce the interference from cellular networks to receivers in D2D multicast group is proposed. Next, to maximize the total system throughput under the condition of interference and noise impairment, we formulate an optimal transmission power allocation jointly for the cellular and D2D multicast communications. Based on the channel allocation, optimal power solution is in a closed form and achieved by searching from a finite set and the interference between cellular and D2D multicast communication is coordinated. The simulation results show that the proposed method can not only ensure the quality of services (QoS), but also improve the system throughput.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1444-1446
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• 2002

In this paper, we propose a new algorithm to calculate the maximum amount of available resource while preventing the outage to the currently serviced users not only in the home cell but also in adjacent cells. The effect of resource management in adjacent cells is simulated.

• 한국통신학회논문지
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• 제34권5A호
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• pp.414-420
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• 2009

본 논문에서는 OFDMA 기반 relay 시스템에서 throughput 성능개선을 위한, Base Station (BS)과 Relay Station (RS)의 sub-cell 커버리지 설정기법을 제안한다. Relay 시스템에서는 BS-RS 링크에서 무선 자원을 추가로 소비하므로, RS간 자원의 재사용을 고려하면 자원의 효과적 사용이 가능하다. 그러나, 이때 신호의 간섭이 증가하므로 단말기의 수신 Signal to Interference and Noise Ratio (SINR)에 영향을 미치게 된다. 그리므로 본 연구에서는 자원 재사용 정도에 따른 사용가능 자원의 증가를 수신 SINR과 함께 sub-cell 커버리지 결정의 요인으로 함께 고려한다. 모의실험을 통한 결과분석을 통해 throughput 성능을 개선할 수 있는 sub-cell 커버리지를, 다양한 자원재사용 패턴에 따라 도출하였다.

• 한국통신학회논문지
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• 제32권6A호
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• pp.565-572
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• 2007

3G Long Term Evolution (3G LTE)은 OFDMA와 MIMO기반 무선접속 기술을 이용해 다양한 모바일 멀티미디어 서비스를 제공하는 차세대 이동통신 시스템이다. 기존 WCDMA기반 시스템과 여러 면에서 차이가 있지만, 3G LTE는 Physical Resource Block (PRB)을 무선전송 자원으로 사용하고, 모든 서비스가 PS 도메인을 통해 이루어진다는 점에서 새로운 자원관리 방식의 개발을 필요로 한다. 본 논문은 Adaptive Partitioning 기반의 다운링크 호 수락제어 방식을 제안한다. 실시간과 비실시간 호를 구분하여 호 종류별로 최대 사용가능 자원량을 미리 지정하고, 한계 초과시 잉여자원량에 비례하여 확률적으로 호를 수락하는 방식이다. 이러한 adaptive 개념은 이미 다른 호 수락제어에서 사용되어 왔지만, PRB의 특징을 활용한 적용방식을 고안하고 PRB utilization과 payload ratio을 이용해 기지국 자원사용량을 측정하는 것은 본 논문의 특징이다. 시뮬레이션을 통해 다른 방식들과 성능 비교한 결과, 실시간 신규 호의 수락을 우선할 수 있었으며, 전체 시스템 성능 또한 우수한 것으로 확인되었다.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제10권8호
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• pp.215-222
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• 2021

이중 연결 네트워크(Dual Connectivity Network)는 소몰 셀 기지국(SBS: Smallcell Base Station)의 제한된 자원 문제와 간섭 문제를 완화하기 위해 스몰 셀 기지국과 매크로 셀 기지국(MBS: Macrocell Base Station)이 협력하여 서비스를 지원하는 기술이다. 하지만 이중 연결 네트워크 역시 한정된 자원을 분배해주는 기술이기 때문에 자원 할당 방식은 매우 중요한 문제이다. 그래서 본 논문에서는 이중 연결 네트워크에서 효율적이고 공정한 자원할당을 위해 일반화된 강한 포부 협상 해법(GTABS: Generalizing Tempered Aspiration Bargaining Solution)과 굽타 리빈 협상 해법(GLBS:Gupta and Livne Bargaining Solution)을 이용한 두 단계 자원 분배 알고리즘을 제안한다. 단계 자원 분배 알고리즘은 다음과 같다. 첫 번째 단계인 그룹 자원 분배 알고리즘에서는 GTABS를 이용하여 각 기지국의 무선 자원을 실시간 그룹과 비 실시간 그룹에게 효율적으로 할당한다. 두 번째 단계인 사용자 자원 분배 알고리즘에서는 GLBS를 이용하여 각 그룹으로 나누어진 자원을 각 그룹의 사용자들에게 최적으로 할당한다. 이러한 두 단계 자원 분배 방식은 5G 무선 자원을 최적으로 할당하여 네트워크 시스템 성능 최대화와 사용자 만족도를 동시에 보장한다. 마지막으로 본 논문에서는 성능 평가를 통해 제안된 방식이 서비스 요청 증가에 따라 전체 시스템 처리량, 공정성, 통신 장애율 측면에서 비교 방식들 보다 모두 10% 이상의 효율성을 입증했다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1837-1860
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• 2020

We propose a general framework for studying resource allocation problem and the tradeoff between spectral efficiency (SE) and energy efficiency (EE) for downlink traffic in power domain-non-orthogonal multiple access (PD-NOMA) and device to device (D2D) based heterogeneous cloud radio access networks (H-CRANs) under imperfect channel state information (CSI). The aim is jointly optimize radio remote head (RRH) selection, spectrum allocation and power control, which is formulated as a multi-objective optimization (MOO) problem that can be solved with weighted Tchebycheff method. We propose a low-complexity algorithm to solve user association, spectrum allocation and power coordination separately. We first compute the CSI for RRHs. Then we study allocating the cell users (CUs) and D2D groups to different subchannels by constructing a bipartite graph and Hungrarian algorithm. To solve the power control and EE-SE tradeoff problems, we decompose the target function into two subproblems. Then, we utilize successive convex program approach to lower the computational complexity. Moreover, we use Lagrangian method and KKT conditions to find the global optimum with low complexity, and get a fast convergence by subgradient method. Numerical simulation results demonstrate that by using PD-NOMA technique and H-CRAN with D2D communications, the system gets good EE-SE tradeoff performance.

• 한국경영과학회지
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• 제31권3호
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• pp.145-154
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• 2006

WiBro (Wireless Broadband Internet) system is going to be 9ot down to commercialization. The high portable internet system is able to be connected to the high-speed internet using 2.3 GHz frequency bandwidth, anytime and anywhere. An effective scheduling for UGS, rtPS, nrtPS and BE requiring different QoS, which are service types of the WiBro, is necessary to increase the efficiency of radio channels that are the limiting resource. This paper researches an uplink scheduling that plays a role in assignment for the radio channels from subscribers to base stations. The suggested scheduling provides priorities with each service type considering QoS of them but reserves some bandwidth for lower priory services. After deciding effective amount of bandwidth for reservation, we suggest analytical result on mean delayed time of packet transmission for each terminal, transmission rate for the data, and capacity for uplink. This research can be used as basic data for the standard in the high portable internet system and as data to predict the capacity of base stations.