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联合随机波束成形与迫零预编码的多波束选择 被引量：2

Selection Scheme for Multi-beam by Using Random Beamforming and Zero-forcing Precoding
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摘要 随机波束成形(RBF)在系统用户足够多时,具有与最优预编码方案相同的容量尺度。当系统用户少时,性能却下降严重。针对该问题,提出了联合RBF和迫零波束成形(ZFBF)的广播信道预编码方案。该方案利用RBF实现用户的初步调度,然后要求初选用户附加反馈量化的信道方向信息(CDI)和信道质量信息(CQI),在基站根据CDI和CQI反馈完成最终波束选择和ZFBF预编码。仿真结果表明,所提出的预编码方案,与现有的增强型RBF相比,在基本不增加上行链路反馈量的前提下,可明显提高系统和容量。 Random beamforming（RBF）can yield the same capacity scaling as the optimal precoding scheme,in the large number of users regime.Unfortunately,for more practically low to moderate users,RBF yields degraded performance.A combined RBF and zero-forcing beamforming（ZFBF）precoding scheme for MIMO broadcast channels are presented.Based on RBF,the initial scheduling is achieved,and then the selected users are requested additional feedback on quantified channel direction information（CDI）and channel quality information（CQI）.The second user selection is implemented to maximize the achievable sum rate at the base station,and then the final precoding design is obtained by using ZFBF.Numerical results show that the presented precoding strategy significantly improve sum-rate performance,compared to the existing enhanced RBF scenario for systems with the not so large number of users,without increasing feedback bits.
作者 于波 李静 吕秀丽 张华
机构地区 东北石油大学
出处 《科学技术与工程》 2010年第35期8711-8715,共5页 Science Technology and Engineering
基金 黑龙江省科技厅科技攻关项目(GZ09A119)资助
关键词 随机波束成形 迫零波束成形 多用户 广播信道 多输入多输出 random beamforming（RBF）zero-forcing beamforming（ZFBF）multi-user broadcast channels MIMO
分类号 TN911.22 [电子电信—通信与信息系统]
  • 相关文献

参考文献9

  • 1Caire G,Shamai S.On the achievable throughput of a multi-antenna Gaussian broadcast channel.IEEE Trans on Inform Theory,2003;49(7):1691-1706.
  • 2Weingarten H,Steinberg Y,Shamai S.The capacity region of the Gaussian multiple-input multiple-output broadcast channel.IEEE Trans on Inform.Theory,2006;52(9):3936-3964.
  • 3Yoo T,Goldsmith A.On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming.IEEE J Select Areas Commun,2006;24(3):528-541.
  • 4Yoo T,Jindal N,Goldsmith A.Multi-antenna broadcast channels with limited feedback and user selection.IEEE J Select Areas Commun,2007;25(7):1478-1491.
  • 5Sharif M,Hassibi B.On the capacity of MIMO broadcast channel with partial side information.IEEE Trans Inform Theory,2005;51(2):506-522.
  • 6Bayesten A,Khandani A K.On the user selection for MIMO broadcast channels.IEEE Trans Inf Theory,2008;54(3):1086-1107.
  • 7Kountouris M,Gesbert D,Salzer T.Enhanced multiuser random beamforming:dealing with the not so large number of users case.IEEE J Select Areas Commun.L,2008;26(8):1536-1545.
  • 8韩锋,刘应状,朱光喜,孙俊.基于正交随机波束成型的多用户多波束选择策略[J].华中科技大学学报（自然科学版）,2008,36(5):9-11. 被引量：1
  • 9Jindal N.MIMO broadcast channels with finite rate feedback.IEEE Trans Inform Theory,2006;52(11):5045-5059.

二级参考文献10

  • 1Viswanath P, Tse D N C. Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality[J]. IEEE Transactions on Information Theory, 2003, 49(8): 1 912-1 921.
  • 2Weingarten H, Steinberg Y, Shamai S S. The capacity region of the Gaussian multiple-input multiple-output broadcast channel[J]. IEEE Transactions on Information Theory, 2006, 52(9): 3 936-3 964.
  • 3Sharif M, Hassibi B. A comparison of timesharing, DPC, and beamforming for MIMO broadcast channels with many users[J]. IEEE Transactions on Communications, 2007, 55(1): 11-15.
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  • 8Sharif M, Hassibi B. On the capacity of MIMO broadcast channels with partial side information[J]. IEEE Transactions on Information Theory, 2005, 51(2) : 506-522.
  • 9Kountouris M, Gesbert D. Robust multi-user opportunistic beamforming for sparse networks[C]/// IEEE 6th Workshop on Signal Processing Advances in Wireless Communications. New York: IEEE, 2005, 975-979.
  • 10Hassibi B, Marzetta T L. Multiple-antennas and isotropically random unitary inputs: the received signal density in closed form[J]. IEEE Transactions on Information Theory, 2002, 48(6): 1 473-1 484.

同被引文献13

  • 1Caire G, Shamai S. On the achievable throughput of a multi- antenna Gaussian broadcast channel. IEEE Trans Info Theory, 2003 ; 43(7) : 1691-1706.
  • 2Weingarten H, Steinberg Y, Shamai S. The capacity region of the Gaussian multiple-input multiple-output broadcast channel. IEEE Trans on Inform Theory, 2006;52(9) : 3936-3964.
  • 3C, esbert D, Kountouris M, Heath Jr R W. Shifting the MIMO para- digra: from single user to muhiuser communications. IEEE Sig Proc Mag, 2007; 24(10):36--46.
  • 4Peel C B, Hechwald B M, Swindlehurst A L A vector- perturbation technique for near capacity multiantenna multiuser communication- part I: channel inversion and regularization. IEEE Trans Comm, 2005;53( 1 ) :195-202.
  • 5Yoo T, Goldsmith A. On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE Jour Select Areas in Comm, 2006; 24(3) :528-541.
  • 6Ravindran N, Jindal N. Multi-user diversity vs. accurate channel feedback for MIMO broadcast channels. IEEE, ICC2008 ; 2008 : 3684-3688.
  • 7Bayesten A, Khandani A K. On the user selection for MIMO broad- cast channels. IEEE Trans Inf Theory, 2008; 54(3) :1086-1107.
  • 8Stuber G L, Barry J R, McLaughlin S W, et al. Broadband MIMO- OFDM Wireless Communications. Proeeedings of the IEEE, 2004; 92(2) :271-294.
  • 9Caire G, Shamai S. On the achievable throughput of a multiantennaGaussian broadcast channel. IEEE Trans. Info. Theory, 2003; 49 (7) : 1691 -1706.
  • 10Sharif M, Hassibi B. On the capacity of MIMO broadcast channels with partial side information. IEEE Trans Info Theory, 2005 ;41 (2) : 506-522.

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科学技术与工程
2010年 第35期

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