• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2000.04a
• /
• pp.687-690
• /
• 2000

본 논문은 IMT-2000 시스템 MAC 계층에서의 채널할당 운용에 관한 것이다. 기존의 2 세대 무선이동통신인 셀룰라나 PCS 에서는 주로 음성이 주요한 트래픽이었기 때문에 채널 할당에 관한 운용전략이 간단했다. 그러나 무선구간 데이터 트래픽의 급속한 증가는 IMT-2000 시스템의 등장을 가져왔고 이 시스템은 음성과 함께 데이터를 전송하기 때문에 2 세대보다 채널할당이 복잡할 수 밖에 없다. 데이터 트래적 중 web 트래픽이 주요한 부분이 될 것은 자명하다. 그래서 본 논문에서는 대상이 되는 트래픽을 web 트래픽으로 한정하고, web 트래픽을 크게 2 개의 class로 구분했다 : streaming & non-streaming 그리고 다시 각각의 class를 2개, 3개의 subclass(type)로 나눴다. 이 구분과 함에 IMT-2000 시스템의 멀티미디어 트래픽 모델링을 사용하여 시뮬레이션을 행했다. 시뮬레이션은 전용채널, 공용채널의 수, type 별 확률을 변화시키면서 여러 가지 상황을 고려해봤다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2000.05a
• /
• pp.222-225
• /
• 2000

In this paper, a synchronous CDMA system accepted for the cdma2000 standard is simulated to propose optimized reverse link power ratio and channel estimation lengths. Differently from IS-95, the pilot channel is used in the proposed system to estimate fading channel, so optimized estimation lengths are needed. Therefore, in this paper we analyze optimized estimation lengths which is needed to decide the power ratio of pilot channel and fundamental channel. From fixed estimation lengths, we calculate FER with various power ratio values.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.26 no.6A
• /
• pp.948-956
• /
• 2001

이 논문에서는 직접수열 부호분할 다중접속 시스템의 여러 경로 감쇄 환경에서 MMSE 검파기의 성능을 분석한다. 1부에서 MMSE 검파기의 성능을 유도하기 위하여, 필터의 출력단에서 신호를 제외한 나머지 간섭과 배경 잡음 성분을 정규 분포와 근사한 것을 이용하여 여기서는 채널 추정에 오류가 있을 때의 영향을 검토한다. 채널변수에 정규분포의 오류가 있을 때와 구체적인 채널 추정 시스템을 사용한 두 가지 경우에 대해서 채널 추정의 영향을 분석한다. 감쇄 환경, 채널 추정 오류의 분산, 도플러 주파수 등을 변화시켜 얻은 수식적인 결과로 성능 분석의 정확도를 보였다.

• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.38 no.3
• /
• pp.9-18
• /
• 2001

In this paper, we present the joint symbol detection and channel estimation for an orthogonal frequency division multiplexing (OFDM) system in fading channels. The proposed methods are based on decision-directed channel estimation (DDCE) method and their symbol detection is achieved by using Viterbi algorithm. This Viterbi decision-directed channel estimation (VDDCE) method tracks time-varying channels and detects a maximum likelihood symbol sequence. Recursive Viterbi decision-directed channel estimation (RVDDCE) method based on VDDCE method is proposed to shorten the detecting depth. In this method, channel estimate and Viterbi processing are recursively performed every interval of training symbol. Also, average chann'el estimation (ACE) technique to reduce the effect of additive white Gaussian noise (AWGN) is applied VDDCE method and RVDDCE method. These proposed methods arc demonstrated by computer simulation.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.32 no.10B
• /
• pp.621-629
• /
• 2007

In cognitive radio (CR) network, the channels are generally classified into either the unavailable channels that are occupied by incumbent users or the available channels that are not occupied. The conventional channel classification scheme may result in poor utilization of spectrum holes since it does not take the spatial relationship between CR node and incumbent users into consideration. In this paper, we propose an efficient channel management scheme for the centralized CR network to maximize the spectrum holes by overcoming the shortcomings of conventional scheme. In addition, we mathematically analyze the effectiveness of proposed scheme. Based on the proposed channel management scheme, we also propose the rendezvous algorithm, which can establish the control channels between base station and CR node under the dynamically changing spectrum environment.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.2
• /
• pp.439-448
• /
• 1999

In this paper, two optimization algorithms based on artificial neural networks and genetic algorithms are proposed for cellular radio channel assignment problems. The channel assignment process is characterized as minimization of the energy function which represents constraints of the channel assignment problems. All three constraints such as the co-channel constraint, the adjacent channel constraint and the co-site channel constraint are considered. In the neural networks approach, certain techniques such as the forced assignment and the changing cell order are developed, and in the genetic algorithms approach, data structure and proper genetic operators are developed to find optimal solutions, As simulation results, the convergence rates of the two approaches are presented and compared.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.709-712
• /
• 2012

In this paper, current-voltage have been considered for DGMOSFET, using the analytical model. The Possion equation is used to analytical. Threshold voltage is defined as top gate voltage when drain current is $10^{-7}A$. Investigated current-voltage characteristics of channel length changed length of channel from 20nm to 100nm. Also, The changes of current-voltage have been investigated for various channel thickness and doping concentration using this model, given that these parameters are very important in design of DGMOSFET. The deviation of conduction path and the influence of conduction path on current-voltage have been considered according to the dimensional parameters of DGMOSFET.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.3
• /
• pp.651-656
• /
• 2014

This paper analyzed the change of subthreshold swing for channel doping of asymmetric double gate(DG) MOSFET. The subthreshold swing is the factor to describe the decreasing rate of off current in the subthreshold region, and plays a very important role in application of digital circuits. Poisson's equation was used to analyze the subthreshold swing for asymmetric DGMOSFET. Asymmetric DGMOSFET could be fabricated with the different top and bottom gate oxide thickness and bias voltage unlike symmetric DGMOSFET. It is investigated in this paper how the doping in channel, gate oxide thickness and gate bias voltages for asymmetric DGMOSFET influenced on subthreshold swing. Gaussian function had been used as doping distribution in solving the Poisson's equation, and the change of subthreshold swing was observed for projected range and standard projected deviation used as parameters of Gaussian distribution. Resultly, the subthreshold swing was greatly changed for doping concentration and profiles, and gate oxide thickness and bias voltage had a big impact on subthreshold swing.

• Journal of Korea Multimedia Society
• /
• v.13 no.9
• /
• pp.1357-1364
• /
• 2010

With the emergence of digital TV broadcasting, various TV channels are provided to a TV audience. But it is getting hard for the audience to find his or her preferred TV programs due to the huge number of TV channels. In order to mitigate the difficulty, channel navigation schemes have been proposed. The schemes predict preferred TV channel from viewer's previous watching histories, and provide the predicted channels when the viewer wants to change TV channel. As channel navigation schemes, there are Most Recently Selected (MRS) scheme providing the most recently watched channel, and Most Frequently Selected (MFS) scheme providing the most frequently selected channel. However, MFS and MRS scheme could be inappropriate to current TV system broadcasting various TV programs in a channel because they are based on the viewer's patterns of watching TV channels. Therefore, this paper proposes an efficient channel navigation scheme, Program Most Frequently Selected (PMFS), based on patterns of watching TV programs instead of TV channels. Simulation results show that the proposed scheme PMFS reduces the seek distance compared to the previous channel navigation schemes, MFS and MRS.

• Journal of KIISE:Information Networking
• /
• v.31 no.4
• /
• pp.375-383
• /
• 2004

As wireless mobile networks have been widely adopted due to their convenience for deployment, the research for improving their performance has been actively conducted. Since their throughput is restrained by the packet corruption rate not by congestion as in wired networks, however, network simulations for performance evaluation need to select the appropriate wireless channel model representing the behavior of propagation errors for the evaluated channel. The selection of the right model should depend on various factors such as the adopted frequency band, the level of signal power, the existence of obstacles against signal propagation, the sensitivity of protocols to bit errors, and etc. This paper analyzes 10-day bit traces collected from real sensor channels exhibiting the high bit error rate to determine a suitable sensor channel model. For selection, it also evaluates the performance of two error recovery algorithms such as a link layer FEC algorithm and three TCPs (Tahoe, Reno, and Vegas) over several channel models. The comparison analysis shows that CM(Chaotic Map) model predicts 3-time less BER variance and 10-time larger PER(Packet Error Rate) than traces while these differences between the other models and traces are larger than 10-time. The simulation experiments, furthermore, prove that CM model evaluates the performance of these algorithms over sensor channels with the precision at least 10-time more accurate than any other models.