한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
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인지무선 시스템의 상관채널에서 공간 상관 행렬 사영을 이용한 안테나 선택기법

Projection of Spatial Correlation-Based Antenna Selection for Cognitive Radio Systems in Correlated Channels

  • 조재범 (인하대학교 정보통신공학과 무선전송 연구실) ;
  • 장성진 (인하대학교 정보통신공학과 무선전송 연구실) ;
  • 정원식 (인하대학교 정보통신공학과 무선전송 연구실) ;
  • 김재명 (인하대학교 정보통신공학과 무선전송 연구실)
  • 투고 : 2011.10.18
  • 심사 : 2012.01.10
  • 발행 : 2012.01.31
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초록

최근에 인지무선시스템에서 부사용자의 성능을 향상시키기 위해서 다중 안테나 기술을 사용하는 연구가 많이 진행되고 있다. 이런 다중 안테나 시스템에서는 안테나 수가 증가할수록 복잡성이나 시스템 가격 등의 문제가 발생한다. 이러한 문제들을 해결하기 위해 이용 가능한 안테나의 부분집합을 찾아 일부 안테나만 사용하는 안테나 선택기법이 사용된다. 본 논문에서는 IEEE 802.11n을 기반으로 시스템을 구축하였으며 인지무선 시스템의 상관채널에서의 안테나 선택기법을 제안한다. 수신 안테나보다 송신안테나가 많은 다중안테나 시스템을 고려하여 송신 안테나를 수신안테나와 같은 수로 선택하여 준다. 안테나 선택에서 모든 안테나 조합을 고려하는 것은 비현실적이다. 따라서 채널 상관 행렬의 벡터 사영 값을 이용한 크기 값을 안테나 선택 기준으로 해준다. 이 알고리즘은 우선사용자에게 미치는 간섭은 줄여주면서 부사용자의 통신 성능은 향상시켜준다.

Recent work has been shown that cognitive radio systems with multiple antenna at both transmitter and receiver are able to improve performance of secondary users. In such system, the main drawback is the increased complexity and raised cost as the number of antennas increase. It is desirable to apply antenna selection which select a subset of the available antennas so as to solve these problems. In this paper, we consider antenna selection method for cognitive radio systems in correlated channel from the IEEE 802.11n. For a multiple-input multiple-output(MIMO) system with more antennas at transmitter than the receiver, we select the same number of transmit antennas as that of receive antennas. The exhaustive search for optimal antenna becomes impractical. We present criterion for selecting subset in terms of projection of channel correlation vector to increase performance of secondary user with decreasing interference at primary user.

키워드

참고문헌

  1. Federal Communications Commission, "Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies, notice of proposed rule making and order, FCC 03-022," Dec. 2003.
  2. S. Haykin, Cognitive Radio: brain-empowerd wireless communications. Selected Areas in Communications, IEEE Journal on, 23(2):201-220, Feb. 2005.
  3. Andreas F. Molisch and Moe Z. Win, "MIMO Systems with Antenna Selection," IEEE microwace magazine, pp 46-56 Mar. 2004
  4. Liang Zhou and Masahiko Shimizu, "Fast Recursive Algorithm for Efficient Transmit Antenna Selection in Spatial Multiplexing Systems," Vehicular Technology Conference Fall, pp. 1-5, S,ep, 2009.
  5. Bu Hong Wang, Hon Tat Hui and Mook Seng Leong, "Global and Fast Receiver Antenna Selection for MIMO Systems," IEEE Trans. commun, vol. 58, no. 9, pp. 2505-2510, Sep, 2010. https://doi.org/10.1109/TCOMM.2010.09.0901232
  6. Lin Dai, Sara Sfar and Khaled Ben Letaief , "Optimal Antenna Selection Based on Capacity Maximization for MIMO Systems in Correlated Channels," IEEE Trans. commun, vol. 54, no. 3, pp 563-573 Mar. 2006 https://doi.org/10.1109/TCOMM.2006.869778
  7. Ying Rao Wei and M.Z Wang, "Capacity-Based Efficient Joint Transmit and Receive Antenna Selection Schemes in MIMO Systems," Information and Communication Technologies, pp. 2125-2129, Oct, 2006.
  8. Hyungsoo Kim, Hyounkuk Kim, Namshik Kim and Hyunchel Park, "Efficient Transmit Antenna Selection for Correlated MIMO Channels," Wireless Communications and Networking Conference, pp. 1-5, Apr, 2009.
  9. Johannes Georg Klotz and Aydin Sezgin, "Antenna Selection Criteria for Interference Alignment," Personal Indoor and Mobile Radio Communications, pp. 527-531, Sep, 2010.
  10. Antonio Forenza, David J. Love and Robert W. Heath Jr, "A Low Complexity Algorithm to Simulate the Spatial Covariance Matrix for Clustered MIMO Channel Models," Vehicular Technology Conference Spring, pp. 889-893, May, 2004.
  11. Mirette Sadek, Alireza Tarighat and Ali H. Sayed, "A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels," IEEE Trans. wireless commun, vol. 6, no. 5, pp. 1711-1721, May, 2007. https://doi.org/10.1109/TWC.2007.360373
  12. Kyungchel Kim, Jungwoo Lee and Huaping Liu, "Spatial-Correlation-Based Antenna Grouping for MIMO Systems," IEEE Trans. Vehic, vol. 59, no. 6, pp. 2898-2905, Jul, 2010. https://doi.org/10.1109/TVT.2010.2047283
  13. Viveck R. Cadambe and Syed Ali Jafar, "Interference Alignment and Degree of Freedom of the K-User Interference Channel," IEEE Trans. Inform, vol. 54, no. 8, pp. 3425-3441, Aug, 2008. https://doi.org/10.1109/TIT.2008.926344
  14. Md Habibul Islam and Ying Chang Liang, "Space-Time Block Coding In MIMO Cognitive Networks with Known Channel Correlations," European Wireless Technology Conference, pp. 97-102, Oct, 2008.