DOI QR코드

DOI QR Code

A Low-Complexity Sphere Decoding Algorithm for Generalized Spatial Modulation

일반화 공간 변조를 위한 저복잡도 구복호 수신기

  • Jeon, EunTak (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Yoon, SungMin (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Lee, JaeSeong (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Woo, DaeWi (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Lee, Kyungchun (Department of Electrical and Information Engineering, Seoul National University of Science and Technology)
  • Received : 2015.11.23
  • Accepted : 2015.12.30
  • Published : 2016.01.31

Abstract

In this paper, an Rx-ordering aided sphere decoding algorithm for generalized spatial modulation (GSM) systems is proposed. In the proposed sphere decoding algorithm, to efficiently reduce the search region, the received signals are optimally ordered, which results in the reduction of computational complexity. To evaluate the performance and the computational complexity of the proposed Rx-ordered sphere decoding algorithm, the simulations are performed. In the simulation results, it is observed that in GSM systems, the proposed decoding algorithm achieves the same error performance with the conventional SD, whereas it efficiently decreases the computational complexity for symbol detection.

일반화 공간 변조(Generalized Spatial Modulation)는 다중안테나 시스템의 복잡도를 줄이기 위해 몇 개의 송신 안테나만을 선택하여 신호를 전송하고, 선택된 안테나의 인덱스로 정보를 표현하는 송신 방식이다. 본 연구에서는 일반화 공간 변조의 수신 방식을 고려하며, 구복호(Sphere Decoding) 수신기에서 수신 순서화를 적용하는 것을 제안한다. 기존 구복호 수신기에서 수신 신호에 대한 연산을 최적의 순서로 변형함으로써 탐색 영역을 효과적으로 줄이며 계산량 감소 이득을 얻게 한다. 모의 실험을 통해 일반화 공간 변조 시스템에서 제안한 구복호 수신기와 기존 구복호 수신기를 비교하였으며, 수신 순서화가 적용된 제안 수신기가 동일한 비트오류율 성능을 얻으면서 더 낮은 계산 복잡도를 요구하는 것을 확인하였다.

Keywords

References

  1. R. Mesleh, H. Haas, S. Sinanovic, C. W. Ahn, and S. Yun, "Spatial modulation," IEEE Trans. Veh. Technol., vol. 57, no. 4, pp. 2228-2241, July 2008. https://doi.org/10.1109/TVT.2007.912136
  2. M. D. Renzo, H. Haas, A. Ghrayeb, S. Sugiura, and L. Hanzo, "Spatial modulation for generalized MIMO: Challenges, opportunities, and implementation," Proc. IEEE, vol. 102, pp. 56-103, Jan. 2014. https://doi.org/10.1109/JPROC.2013.2287851
  3. A. Younis, N. Serafimovski. R, Mesleh, and H. Haas, "Generalised spatial modulation," in proc. Asilomar Conf. on Signals, Syst, Comput,. pp. 1498-1502, 2010.
  4. J. Fu, C. Hou, W. Xiang, L. Yan, and Y. Hou, "Generalised spatial modulation with multiple active transmit antennas," in Proc. IEEE Globecom Workshops, pp. 839-844, 2010.
  5. E. Viterbo and J. Boutros,"A universal lattice code decoder for fading channels," IEEE Trans. Inf. Theory, vol. 45, pp. 1639-1642, Jul. 1999. https://doi.org/10.1109/18.771234
  6. B. Hassibi and H. Vikalo, "On the sphere-decoding algorithm I. Expected complexity," IEEE Trans. Signal Process., vol. 53, pp. 2806-2818, Aug. 2005. https://doi.org/10.1109/TSP.2005.850352
  7. A. Younis, R. Mesleh, H. Haas and P. M. Grant, "Reduced Complexity Sphere Decoder for Spatial Modulation Detection Receivers," in proc. IEEE Global Telecommun. Conf., pp.6-10 , Dec. 2010.
  8. A. Younis, S. Sinanovic, M. D. Renzo, R. Mesleh, and H. Haas, "Generalised sphere decoding for spatial modulation," IEEE Trans. Commun., vol. 61, pp. 2805-2815, Jul. 2013. https://doi.org/10.1109/TCOMM.2013.061013.120547
  9. K. Lee, "Doubly ordered sphere decoding for spatial modulation", IEEE Commun. Lett., vol. 19, no. 5, pp. 795-798, May 2015. https://doi.org/10.1109/LCOMM.2015.2415808

Cited by

  1. 일반화 공간 변조 시스템에서 송신/수신 순서화를 적용한 효율적 구복호 수신기 vol.21, pp.3, 2016, https://doi.org/10.6109/jkiice.2017.21.3.523