期刊文献+

一种自适应广义空间调制及其低复杂度算法 被引量:7

An Adaptive Modulation Algorithm with Low Complexity for Generalized Spatial Modulation
下载PDF
导出
摘要 针对广义空间调制(GSM)算法不能充分地利用信道状态信息的缺陷,提出了一种适用于GSM系统的自适应调制算法(AGSM),该算法利用已知信道状态信息,通过最大化空间调制星座点的最小欧氏距离,实现天线组合和符号调制星座的联合优化。进一步提出了一种低复杂度AGSM算法(LA-GSM),通过减少可选符号调制星座数量,并在传统天线组合集合与剩余天线组合集合中分别自适应选择相同符号调制星座,实现较低复杂度的天线组合和符号调制星座的联合优化,同时兼顾系统空间分集增益。仿真结果表明:在相同系统频谱效率5b/(s·Hz)和6根发射天线条件下,所提的AGSM和LA-GSM算法以一定的算法复杂度为代价,均获得了相比于传统GSM算法更低的误码率性能,特别是在较高信噪比时AGSM算法和LA-GSM算法的误码率分别近似为GSM算法误码率的1/10和1/3;同时,LA-GSM算法获得了低误码率性能与低算法复杂度的较好折中。 A new adaptive modulation algorithm for generalized spatial modulation(AGSM)is proposed to make full use of the channel state information.The algorithm realizes the joint optimization of antenna combinations and symbol modulation constellations by using the known channel state information and maximizing the minimum Euclidean distance of space-modulation constellation points so that the system performance is improved.Furthermore,a low-complexity AGSM algorithm(LA-GSM)is proposed to reduce the complexity of the joint optimization of antenna combinations and symbol modulation orders.The LA-GSM achieves a lower complexity and makes full use of the antenna combinations of GSM systems by reducing the number of available symbol modulation constellations and searching the identical symbol modulation constellations from the typical antenna combinations and remanent antenna combinations adaptively and respectively.Simulation results show that both the AGSM and the LA-GSM achieve much lower BER performance than the GSM does at a cost of certain complexity under same system spectral efficiency 5b/(s·Hz)and 6transmit antennas.Especially,the AGSM'sBER and LA-GSM's BER are 1/10 and 1/3of GSM's one,respectively,when the SNR is high.Moreover,the LA-GSM achieves a better trade-off between lower BER performance and lower complexity.
出处 《西安交通大学学报》 EI CAS CSCD 北大核心 2016年第4期48-53,67,共7页 Journal of Xi'an Jiaotong University
基金 陕西省自然科学基金资助项目(2015JM6305) 华为创新研究计划资助项目(YB2015070059)
关键词 自适应空间调制 信道状态信息 联合优化 天线组合 adaptive spatial modulation channel state information joint optimization antenna combinations
  • 相关文献

参考文献14

  • 1MESLEH R Y, HAAS H, SINANOVIC S, et al. Spatial modulation [J]. IEEE Transactions on Vehicu- lar Technology, 2008, 57(4): 2228-2241.
  • 2JEGANATHAN J, GHRAYEB A, SZCZECINSKI L. Spatial modulation: optimal detection and performance analysis [J]. IEEE Communications Letters, 2008, 12 (8) : 545-547.
  • 3陈诚,王磊,李晓峰.采用星座旋转的高速率空时分组码空间调制算法[J].西安交通大学学报,2014,48(12):113-119. 被引量:4
  • 4YOUNIS A, SERAFIMOVSKI N, MESLEH R, et al. Generalized spatial modulation [C]///IEEE Confer- ence Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers. Piscataway, NJ, USA.. IEEE, 2010: 1498-1502.
  • 5FU J, HOU C, XIANG W, et al. Generalized spatial modulation with multiple active transmit antennas [J]. IEEE Globecom Workshops, 2010, 29(16): 839-844.
  • 6YANG P, XIAO Y, YU Y, et al. Adaptive spatial modulation for wireless MIMO transmission systems [J]. IEEE Communications Letters, 2011, 15 (6) : 602-604.
  • 7YANG P, XIAO Y, YU Y, et al. Simplified adaptive spatial modulation for limited-feedback MIMO systems [J]. IEEE Transactions on Vehicular Technology, 2013, 62(6): 2656-2666.
  • 8RAJASHEKAR R, HARI K V S, HANZO L. An- tenna Selection in spatial modulation systems[J]. IEEE Communications Letters, 2013, 17 (3) : 521- 524.
  • 9PILLAY N, XU H. Comments on antenna selection in spatial modulation systems [J]. IEEE Communications Letters, 2013, 17(9): 1681-1683.
  • 10NTONTIN K, DI RENZO M, PEREZ-NEIRA A I, et al. A low-complexity method for antenna selection in spatial modulation systems [J]. IEEE Communications Letters, 2013, 17(12): 2312-2315.

二级参考文献15

  • 1MIETNER J, SCHOBER R, LAMPLE L, et al. Multiple-antenna techniques for wireless communication-a comprehensive literature survey[J]. IEEE Commun Surv Tutor, 2009, 11(2): 87-105.
  • 2MESLEH R, HAAS H, SINANOVI'C S, et al. Spatialmodulation[J]. IEEE Transon Veh Technol, 2008, 57(4): 2228-2241.
  • 3RENZO D M, HAAS H. Bit error probability of spatial modulation (SM) MIMO over generalized fading channels [J]. IEEE Trans on Veh Technol, 2012, 61(3): 1124-1144.
  • 4BASAR E, AYGOLU U, PANAYIRCI E, et al. Space-time block coded spatial modulation[J]. IEEE Trans on Commun, 2011, 59(3): 823-832.
  • 5YANG P, XIAO Y, YU Y, et al. Adaptive spatial modulation for wireless MIMO transmission systems[J]. IEEE Commun Lett, 2011, 15(6): 602-605.
  • 6HEATH R W, PAULRAJ A. Antenna selection for spatial multiplexing systems based on minimum error rate[C]// IEEE Int Conf Communications(ICC). Helsinki, Finland: IEEE, 2001.
  • 7GORE D, NABAR R, PAULRAJ A. Selecting an optimal set of transmit antennas for a low rank matrix channel[C]//Proc Int Conf Acoust, Speech and Signal Processing. Istanbul, Turkey: [s.n.], 2000.
  • 8GORE D A, PAULRAJ A J. MIMO antenna subset selection with space-time coding[J]. IEEE Trans on Signal Processing, 2002, 50(10): 2580-2588.
  • 9JEGANATHAN J. Space shift keying modulation for MIMO channels[D]. Montreal, Q C: Concordia University, 2008.
  • 10JEGANATHAN J, GHRAYEB A, SZCZECINSKI L, et al. Space shift keying modulation for MIMO channels[J]. IEEE Trans on Wireless Commun, 2009, 8(7): 3692-3703.

共引文献5

同被引文献16

引证文献7

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部