본문 바로가기
KERD
논문KCI 등재

사용자 공정성을 위한 MU-MIMO 시스템에서 반직교 사용자 선택 알고리즘에 중첩 코딩 적용 연구

Superposition Coding in SUS MU-MIMO system for user fairness

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Nowadays, various researches fulfill in many communication engineering area for B4G(Beyond Forth Generation). Next LTE-A (Long Term Evolution Advanced), MU-MIMO(Multi-User Multi Input Multi Output) method raises to upgrade throughput performance. However, the method of user selection is not decided because of many types and discussionsin MU-MIMO system. Many existing methods are powerful for enhancing performance buthave various restrictions in practical implementation. Fairness problem is primary restrictionin this area. Existing papers emphasis algorithm to increase sum-rate but we introduce analgorithm about dealing with fairness problem for real commercialization implementation. Therefore, this paper introduces new user selection method in MU-MIMO system. Thismethod overcomes a fairness problem in SUS (Semiorthogonal User Selection) algorithm. Wecan use the method to get a similar sum-rate with SUS and a high fairness performance. And this paper uses a hybrid method with SC-SUS (Superposition Coding SUS) algorithmand SUS algorithm. We find a threshold value of optimal performance by experimentalmethod. We show this performance by computer simulation with MATLAB and analysis thatresults. And we compare the results with another paper’s that different way to solve fairnessproblem.

Abstract

Nowadays, various researches fulfill in many communication engineering area for B4G(Beyond Forth Generation). Next LTE-A (Long Term Evolution Advanced), MU-MIMO(Multi-User Multi Input Multi Output) method raises to upgrade throughput performance. However, the method of user selection is not decided because of many types and discussionsin MU-MIMO system. Many existing methods are powerful for enhancing performance buthave various restrictions in practical implementation. Fairness problem is primary restrictionin this area. Existing papers emphasis algorithm to increase sum-rate but we introduce analgorithm about dealing with fairness problem for real commercialization implementation. Therefore, this paper introduces new user selection method in MU-MIMO system. Thismethod overcomes a fairness problem in SUS (Semiorthogonal User Selection) algorithm. Wecan use the method to get a similar sum-rate with SUS and a high fairness performance. And this paper uses a hybrid method with SC-SUS (Superposition Coding SUS) algorithmand SUS algorithm. We find a threshold value of optimal performance by experimentalmethod. We show this performance by computer simulation with MATLAB and analysis thatresults. And we compare the results with another paper’s that different way to solve fairnessproblem.

참고문헌 (7)

  1. ZukangShen, "Low complexity userselection algorithms for multiuser MIMO systems with blockdiagonalization", IEEE Trans. Signal Processing, 54(9), pp.3658~3663 (2006)
  2. T. Yoo, "On the optimality of multi-antenna broadcast scheduling using zero-forcing beamforming", IEEE J. Sel. Areas Commun., 24(3), pp.528~541 (2006)
  3. Kaviani, S, "User Selection for Multiple-Antenna Broadcast Channel with Zero-Forcing Beamforming", Global Telecommunication Conference (2008)
  4. S. Vanka, "Superposition Coding Strategies : Design and Experimental Evaluation", IEEE Transactions on Wireless Communications, 11(7) (2012)
  5. 장환수, "제한 피드백에서 다중사용자의 다중입력 다중출력 다운링크를 위한 준최적 사용자 선택 방법", 디지털융합 IT 공동 학술대회 논문집, pp.108~113 (2013)
  6. 한연규, "LTE 기반 MU-MIMO 시스템에 구현한 빔포밍 알고리즘", (사)디지털산업정보학회 논문지, 8(4), pp.121~127 (2012), (사)디지털산업정보학회
  7. 이승학, "GPU를 이용한 SDR 시스템 용 LTE MIMO 기지국 기능 구현", (사)디지털산업정보학회 논문지, 8(4), pp.91~98 (2012), (사)디지털산업정보학회

관련 논문AI추천

이 간행물의 다른 논문 (20건)