[국내논문]LTE-Advanced 시스템에서 릴레이 프로토콜을 적용한 지능형 AMC 기법의 설계 및 분석 Design and Analysis of Intelligent AMC Scheme with Relay Protocols in LTE-Advanced System원문보기
본 논문에서는 AMC(Adaptive Modulation and Coding) 기법을 적용한 릴레이 프로토콜을 제안한다. AMC 기법은 다양한 변조와 코딩 기법을 통해, 통신 시스템의 전송률과 신뢰도를 향상시킬 수 있다. 본 논문에서는 AMC 기법을 적용한 릴레이 프로토콜의 성능을 분석하고, AMC 기법이 적용된 릴레이 프로토콜이 AMC 기법이 적용되지 않은 기존의 기법과 비교하여 낮은 SNR(Signal to Noise Ratio) 레벨에서 더 좋은 평균 전송률을 제공할 수 있음을 확인하였다. 비적응적 MCS(Modulation and Coding Scheme) 릴레이 프로토콜과 적응적 MCS 릴레이 프로토콜의 성능을 증명하기 위해 LTE-A(Long Term Evolution-Advanced) 파라미터와 함께 몬테카를로 시뮬레이션을 수행하였다. 모의실험 결과, 적응적 MCS가 적용된 시스템에서 AF(Amplify-and-Forward), DF(Decode-and-Forward) 및 DMF(DeModulate-and-Forward) 프로토콜 중 DMF 프로토콜이 낮은 SNR 값에서 가장 좋은 성능을 보이고, 더 좋은 평균 전송률을 제공하는 것을 확인하였다.
본 논문에서는 AMC(Adaptive Modulation and Coding) 기법을 적용한 릴레이 프로토콜을 제안한다. AMC 기법은 다양한 변조와 코딩 기법을 통해, 통신 시스템의 전송률과 신뢰도를 향상시킬 수 있다. 본 논문에서는 AMC 기법을 적용한 릴레이 프로토콜의 성능을 분석하고, AMC 기법이 적용된 릴레이 프로토콜이 AMC 기법이 적용되지 않은 기존의 기법과 비교하여 낮은 SNR(Signal to Noise Ratio) 레벨에서 더 좋은 평균 전송률을 제공할 수 있음을 확인하였다. 비적응적 MCS(Modulation and Coding Scheme) 릴레이 프로토콜과 적응적 MCS 릴레이 프로토콜의 성능을 증명하기 위해 LTE-A(Long Term Evolution-Advanced) 파라미터와 함께 몬테카를로 시뮬레이션을 수행하였다. 모의실험 결과, 적응적 MCS가 적용된 시스템에서 AF(Amplify-and-Forward), DF(Decode-and-Forward) 및 DMF(DeModulate-and-Forward) 프로토콜 중 DMF 프로토콜이 낮은 SNR 값에서 가장 좋은 성능을 보이고, 더 좋은 평균 전송률을 제공하는 것을 확인하였다.
In this paper, we propose an Adaptive Modulation and Coding (AMC) scheme using relay protocols generally known as Relay Node (RN). The AMC scheme is used for improving the throughput and a reliability of a communication system, because of the nature of different modulation and coding schemes. We ana...
In this paper, we propose an Adaptive Modulation and Coding (AMC) scheme using relay protocols generally known as Relay Node (RN). The AMC scheme is used for improving the throughput and a reliability of a communication system, because of the nature of different modulation and coding schemes. We analyze the performance of relay protocols with the AMC scheme and observed that relay protocols with the AMC scheme is capable of providing better average throughput at a lower Signal to Noise Ratio (SNR) level as compared to the conventional scheme with no AMC. We perform Monte Carlo simulations with Long Term Evolution-Advanced (LTE-A) parameters to prove the performance comparison of adaptive Modulation and Coding Scheme (MCS) relay protocols with the non-adaptive MCS relay protocols. The simulation results of the proposed system with adaptive MCS prove that among the Amplify-and-Forward (AF), Decode-and-Forward (DF) and DeModulate-and-Forward (DMF), the DMF protocol performs best at a lower SNR value and also provides better average throughput.
In this paper, we propose an Adaptive Modulation and Coding (AMC) scheme using relay protocols generally known as Relay Node (RN). The AMC scheme is used for improving the throughput and a reliability of a communication system, because of the nature of different modulation and coding schemes. We analyze the performance of relay protocols with the AMC scheme and observed that relay protocols with the AMC scheme is capable of providing better average throughput at a lower Signal to Noise Ratio (SNR) level as compared to the conventional scheme with no AMC. We perform Monte Carlo simulations with Long Term Evolution-Advanced (LTE-A) parameters to prove the performance comparison of adaptive Modulation and Coding Scheme (MCS) relay protocols with the non-adaptive MCS relay protocols. The simulation results of the proposed system with adaptive MCS prove that among the Amplify-and-Forward (AF), Decode-and-Forward (DF) and DeModulate-and-Forward (DMF), the DMF protocol performs best at a lower SNR value and also provides better average throughput.
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
문제 정의
The optimal selection of the coding rate, modulation and relay protocols scheme result is an improvement of the data rate and system reliability. The goal is to maximize the data throughput and system efficiency.
제안 방법
Adaptive Modulation and Coding (AMC)[9∼12] can provide high spectral efficiency, meanwhile the reliability of the data can be guaranteed, its adaptation features makes it attractive for further research in several areas, especially if a high data rate is among the expected results. Our proposal consists then, in the combination of MIMO and AMC schemes in one single system: Adaptive-MCS. The optimal selection of the coding rate, modulation and relay protocols scheme result is an improvement of the data rate and system reliability.
The AF and DF protocols are considered as the conventional protocols in the fixed relay system which are already adapted by the LTE-A. We analyze the consistency and efficiency of the DMF protocol with MCS comparing their results with Conventional designed algorithms.
When the signal arrived at the Relay Node (RN), we select the protocols for various scenarios by first analyzing the channel parameters given by the Channel Evaluator (CE) from the RN–UE link.
성능/효과
Here, we can observe that even at an improved error performance than compared to the FER or SER, AF and DF performance are very close at lower SNR values, whereas, the performance of DMF is still showing better results than the conventional protocols.
We use the AMC scheme for improving throughput and reliability, because of the nature of different modulation and coding schemes. The simulation results of the proposed system with adaptive MCS prove that among the AF, DF and DMF protocol, the DMF protocol performs best specifically at a lower SNR value and also provides better average throughput. We observed that the proposed DMF protocol is capable of performing with the best performance in lower and high SNR values and with high consistency and provides the best throughput efficiency.
참고문헌 (13)
R. Pabst, B. H. Walke, D. C. Schultz, et al., "Relay-based deployment concepts for wireless and mobile broadband radio," IEEE Commun.Mag., vol. 42, no. 9, pp. 80-89, Sep. 2004.
S. W. Peters, A. Y. Panah, Kien T. Truong, and R. W. Heath, Jr., "Relay architectures for 3GPP LTE-advanced," EURASIP J. Wireless Communication and Network., vol. 2009, Article ID 618787, 14 pages, 2009.
S. Sesia, I. Toufik, and M. Baker, LTE, The UMTS Long Term Evolution: From theory to practice, Wiley & Sons, Feb. 2009.
J. N. Laneman, D. N. C. Tse, and G. W. Wornell, "Cooperative diversity in wireless networks: Efficient protocols and outage behaviour," IEEE Transactions on Information Theory, vol. 50, no. 12, pp. 3062-3080, Dec 2004.
A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation diversity-part i: System description," IEEE Transactions on Communications, vol. 51, no. 11, pp. 1927-1938, Nov 2003.
A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation diversity - part ii: Implementation aspects and performance analysis," IEEE Transactions on Communications, vol. 51, no. 11, pp. 1939-1948, Nov 2003.
G. Holland, N. Vaidya and P. Bahl, "A rate-adaptive MAC protocol for multi-hop wireless networks," Proc. of the 7th MobiCom, pp.236-251, Rome, Italy, 2001.
Saransh Malik, Sangmi Moon, Bora Kim, Cheolhong Kim, Intae Hwang, "Joint Precoding Technique for Interference Cancellation in Multiuser MIMO Relay Neworks for LTEAdvanced System", Journal of The Institute of Electronics Engineers of Korea, Vol. 49-TC, No. 6, June 2012.
S.G. Chua, A.J. Goldsmith, "Adaptive coded modulation for fading channels", IEEE Transaction on communications, May 1998, pp. 595-602.
S.K. Lai, R.S. Cheng, K.B. Letaief, R.D. Murch, "Adaptive trellis coded MQAM and power optimization for OFDM transmission", IEEE Vehicular Technology Conference, May 1999, pp. 290-295.
Jeonghwan Lee, Gilsang Yoon, Insik Cho, Changwoo Seo, Sherlie Portugal and Intae Hwang, "Design and Performance Analysis of a Communication System with AMC and MIMO Mode Selection Scheme", Journal of The Institute of Electronics Engineers of Korea, Vol. 47-TC, No. 3, March 2010.
T. Keller, L. Hanzo, "Adaptive modulation techniques for duplex OFDM transmission", IEEE Transaction on Vehicular Technology, Sept 2000, pp. 1893-1906.
J. G. Proakis, Digital Communications, 4th ed. McGraw-Hill, New York, 2001.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.