• 한국위성정보통신학회논문지
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• 제6권2호
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• pp.26-34
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• 2011

저전력으로 옥내 고품질의 통신환경을 제공하는 펨토셀에는 등록된 유저만 접근이 가능한 Closed Access mode와 모두에게 접근을 허락한 Open Access mode, 이렇게 대표적으로 두 가지의 접근 모드가 있다. 본 논문에서는 두 접근 방식의 펨토셀이 혼재된 LTE 기반의 OFDMA 셀룰라 환경에서 유저 간의 성능 차이를 완화하고, 시스템 전체의 성능을 향상시키는 접근 모드에 따른 자원 분배를 제안한다. 상대적으로 Closed Access mode보다 다른 유저들에게 고품질의 통신 환경을 제공하는 Open Access mode 펨토셀에게 더 많은 무선 자원을 허용한다. 무선 자원을 더 많이 허용하면 Open Acees mode 펨토셀을 사용하는 유저의 성능은 향상하지만 동시에 다른 유저에게 미치는 간섭 또한 증가하기 때문에 이러한 trade-off 관계를 고려한 최적의 자원 할당이 필요하다. 따라서 시스템 레벨 시뮬레이션을 통해서 최적의 자원 할당 값을 구하고 기존 방식과 최적 값을 적용한 제안한 방식을 시뮬레이션 한 결과, 제안한 방식이 기존 방식보다 전체적인 셀 성능을 향상 되는 것을 볼 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.1174-1192
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• 2021

With the assistance of non-orthogonal multiple access (NOMA), the spectrum efficiency and the number of users in cloud radio access network (CRAN) can be greatly improved. In this paper, the system performance of NOMA-assisted CRAN is investigated. Specially, the outage probability (OP) and ergodic sum rate (ESR), are derived for performance evaluation of the system, respectively. Based on this, by minimizing the OP of the system, a suboptimal power allocation (PA) scheme with closed-form PA coefficients is proposed. Numerical simulations validate the accuracy of the theoretical results, where the derived OP has more accuracy than the existing one. Moreover, the developed PA scheme has superior performance over the conventional fixed PA scheme but has smaller performance loss than the optimal PA scheme using the exhaustive search method.

• 한국정보과학회논문지:시스템및이론
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• 제27권6호
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• pp.592-598
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• 2000

분산 공유 메모리(Distributed Shared Memory) 시스템에서 데이타 참조의 지역성은 시스템 성능에 중요한 영향을 미친다. 데이타 참조의 지역성을 고려하여 적절하게 데이타를 배치할 경우 전체적인 시스템 성능 향상을 가질 수 있다. 본 논문에서는 데이타 배치 방식을 효과적으로 적용할 수 있는 동적제한 디렉터리 기법에서 성능을 평가한다. 데이타 배치 방식 정보는 동적 제한 디렉터리 기법에서 존재 비트를 효과적으로 이용할 수 있다. 그리고 적절한 존재 비트의 사용은 메모리 오버헤드를 줄이고 디렉터리 풀을 효율적으로 사용하므로 성능을 향상시킬 수 있다. 성능 평가를 위해 서로 다른 공유 특성을 가진 3개의 응용 프로그램으로 모의 실험하였다. 모의 실험 결과 최적 배치 방식은 3.6 배의 성능을 향상시킬 수 있다.

• ETRI Journal
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• 제34권6호
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• pp.879-884
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• 2012

When the number of users is finite, the performance improvement of the orthogonal random beamforming (ORBF) scheme is limited in high signal-to-noise ratio regions. In this paper, to improve the performance of the ORBF scheme, the user set and transmit power allocation are jointly determined to maximize sum rate under the total transmit power constraint. First, the transmit power allocation problem is expressed as a function of a given user set. Based on this expression, the optimal user set with the maximum sum rate is determined. The suboptimal procedure is also presented to reduce the computational complexity, which separates the user set selection procedure and transmit power allocation procedure.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.566-578
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• 2018

In this paper, we design a segment training based individual channel estimation (STICE) scheme for the classical two-way relay network (TWRN) with multi-pair sources (MPS) and amplify-and-forward (AF). We adopt the linear minimum mean square error (LMMSE) channel estimator to minimize the mean square error (MSE) without channel estimation error, where the optimal power allocation strategy from the relay for different sources is obtained. Then the MSE gains are given with different source pairs among the proposed power allocation scheme and the existing power allocation schemes. Numerical results show that the proposed method outperforms the existing ones.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.1-19
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• 2015

With the recent popularity of smart terminals, the demand for high-data-rate transmission is growing rapidly, which brings a new challenge for the traditional cellular networks. Both device-to-device (D2D) communication and small cells are effective to improve the transmission efficiency of local communication. In this paper, we apply D2D communication into a small cell network system (SNets) and study about the optimization problem of resource allocation for D2D communication. The optimization problem includes system scheduling and resource allocation, which is exponentially complex and the optimal solution is infeasible to achieve. Therefore, in this paper, the optimization problem is decomposed into several smaller problems and a hierarchical scheme is proposed to obtain the solution. The proposed hierarchical scheme consists of three steps: D2D communication groups formation, the estimation of sub-channels needed by each D2D communication group and specific resource allocation. From numerical simulation results, we find that the proposed resource allocation scheme is effective in improving the spectral efficiency and reducing the outage probability of D2D communication.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권5호
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• pp.1286-1302
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• 2012

In this paper, the resource allocation problem with proportional fairness rate in cognitive OFDM-based wireless network is studied. It aims to maximize the total system throughput subject to constraints that include total transmit power for secondary users, maximum tolerable interferences of primary users, bit error rate, and proportional fairness rate among secondary users. It is a nonlinear optimization problem, for which obtaining the optimal solution is known to be NP-hard. An efficient bio-inspired suboptimal algorithm called immune clonal optimization is proposed to solve the resource allocation problem in two steps. That is, subcarriers are firstly allocated to secondary users assuming equal power assignment and then the power allocation is performed with an improved immune clonal algorithm. Suitable immune operators such as matrix encoding and adaptive mutation are designed for resource allocation problem. Simulation results show that the proposed algorithm achieves near-optimal throughput and more satisfying proportional fairness rate among secondary users with lower computational complexity.

• 한국통신학회논문지
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• 제39B권10호
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• pp.664-673
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• 2014

본 논문은 기지국 간 상하향링크의 할당 비율이 동일하지 않은 비동기식 시분할 듀플렉싱 모드 기반의 이종 네트워크 환경에서 총 전송률을 최대화 하는 전력 할당 방식을 연구한다. 본 논문에서는 매크로 셀 커버리지 안에 같은 자원을 공유하는 소형 셀이 존재하는 이종 네트워크를 고려한다. 각 셀 마다 주어진 Target 수신 신호 대 간섭 및 잡음 비 성능을 만족하면서 각 셀의 전송률의 합을 목적 함수로 가지는 최적화 문제를 정의한다. 이를 통해 최적 해가 존재하기 위한 가시적인 영역을 분석하고 총 전송률을 최대화 할 수 있는 전력 할당 방식을 도출한다. 실험 결과를 통하여 제안한 전력 할당 방식을 사용한 전송 방식이 모든 노드가 최대 허용 전력으로 전송하는 전송 방식보다 더 높은 전송률을 달성함을 확인할 수 있다.

• Journal of Communications and Networks
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• 제18권1호
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• pp.50-64
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• 2016

Nowadays, smart meter (SM) technology is widely effectively used. In addition, power allocation (PA) and channel selection (CS) are considered problems with many proposed approaches. In this paper, we will suggest a specific scenario for an SM configuration system and show how to solve the optimization problem for transmission between SMs and the data concentrator unit (DCU), the center that collects the data from several SMs, via simulation. An efficient CS with PA scheme is proposed in the TV white space system, which uses the TV band spectrum. On the basic of the optimal configuration requirements, SMs can have a transmission schedule and channel selection to obtain the optimal efficiency of using spectrum resources when transmitting data to the DCU. The optimal goals discussed in this paper are the maximum capacity or maximum channel efficiency and the maximum allowable power of the SMs used to satisfy the quality of service without harm to another wireless system. In addition, minimization of the interference to the digital television system and other SMs is also important and needs to be considered when the solving coexistence scenario. Further, we propose a process that performs an interference analysis scheme by using the spectrum engineering advanced Monte Carlo analysis tool (SEAMCAT), which is an integrated software tool based on a Monte-Carlo simulation method. Briefly, the process is as follows: The optimization process implemented by genetic evolution optimization engines, i.e., a genetic algorithm, will calculate the best configuration for the SM system on the basis of the interference limitation for each SM by SEAMCAT in a specific configuration, which reaches the solution with the best defined optimal goal satisfaction.

• Journal of Information Processing Systems
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• 제17권2호
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• pp.306-317
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• 2021

The unbalance between system ergodic sum rate and high fairness is one of the key issues affecting the performance of non-orthogonal multiple access (NOMA) system. To solve the problem, this paper proposes a power allocation algorithm to realize the ergodic sum rate maximization of NOMA system. The scheme is mainly achieved by the construction algorithm of fair model based on α fair utility function and the optimal solution algorithm based on the interior point method of penalty function. Aiming at the construction of fair model, the fair target is added to the traditional power allocation model to set the reasonable target function. Simultaneously, the problem of ergodic sum rate and fairness in power allocation is weighed by adjusting the value of α. Aiming at the optimal solution algorithm, the interior point method of penalty function is used to transform the fair objective function with unequal constraints into the unconstrained problem in the feasible domain. Then the optimal solution of the original constrained optimization problem is gradually approximated within the feasible domain. The simulation results show that, compared with NOMA and time division multiple address (TDMA) schemes, the proposed method has larger ergodic sum rate and lower Fairness Index (FI) values.