期刊文献+

认知MIMO干扰网络的顽健干扰对齐算法 被引量:3

Robust interference alignment algorithm for cognitive MIMO interference network
下载PDF
导出
摘要 针对重叠式认知MIMO干扰信道状态信息(CSI)非理想的问题,提出一种顽健干扰对齐算法。首先通过欧几里得球形不确定性刻画非理想CSI,以最小化用户干扰泄漏为目标,构建非理想CSI条件下发送预编码和接收干扰子空间矩阵的优化模型;然后利用矩阵范数的不等式性质,推导了最差条件下的主用户干扰温度约束;最后采用拉格朗日部分对偶及次梯度更新方法,推导出收发矩阵之间的迭代关系,并从理论上分析了顽健算法的适用条件和可达自由度范围。仿真结果表明,所提算法具有较好的顽健性,且获得的次用户网络性能优于已有算法。 A robust interference alignment algorithm was proposed for underlay cognitive MIMO interference network with imperfect channel-state information(CSI). Firstly, imperfect CSI was characterized by Euclidean ball-shaped uncertainty, based on which the optimization model of transmitting precoding and receiving interference subspace matrix was constructed with aimed of minimizing interference leakage. Then, primary users' interference temperature constraint under the worst-case condition was derived according to the matrix norm inequality. Finally, alternate iteration expressions of transceiver matrixes were obtained exploiting Lagrange partial dual-decomposition theory and sub-gradient update method. Moreover, the proposed algorithm's application condition and degrees of freedom range were theoretically analyzed. Simulation results show that the proposed algorithm is robust and its secondary users' network performance outperforms existing algorithms'.
出处 《通信学报》 EI CSCD 北大核心 2016年第3期157-164,共8页 Journal on Communications
基金 国家科技重大专项基金资助项目(No.2011ZX03003-003-02) 国家高技术研究发展计划("863"计划)基金资助项目(No.2012AA01A502 No.2012AA01A505)~~
关键词 认知MIMO 重叠式 干扰对齐 顽健性 cognitive MIMO underlay interference alignment robust
  • 相关文献

参考文献3

二级参考文献43

  • 1HAYKIN S. Cognitive radio: brain-empowered wireless communica- tions [J]. IEEE Journals on Selected Areas in Communications, 2005, 23 (2): 201-220.
  • 2ZHANG R, LIANG Y C. Exploiting multi-antennas for opportunistic spectrum sharing in cognitive radio networks[J]. IEEE Journal of Se- lected Topics in Signal Processing, 2008, 2 (1): 88-102.
  • 3ZHANG Y J, SO A M. Optimal spectrum sharing in MIMO cognitive radio networks via semidefinite programming[J]. IEEE Journal on Se- lected Areas in Communications, 2011, 29 (2): 362-373.
  • 4ZHANG L, XIN Y, LIANG Y C. Optimal power allocation for multiple access channels in cognitive radio networks[A]. Proceedings of Ill, F, Ve- hicular Technology Conference[C]. Singapore, 2008. 1549- 1553.
  • 5ZHANG L, LIANG Y C, XIN Y. Joint beamforming and power alloca-tion for multiple access channels in cognitive radio networks[J]. IEEE Journal on Selected Areas in Communications, 2008, 26 (1): 38-51.
  • 6ZHENG G, WONG K K, OTTERSTEN B. Robust cognitive beam- forming with bounded channel uncertainties[J]. IEEE Transactions on Signal Processing, 2009, 57( 12): 4871-4881.
  • 7ZHANG L, XIN Y, LIANG Y C. Weighted sum rate optimization for cognitive radio MIMO broadcast channels[J]. IEEE Transactions on- Wireless Communications, 2009, 8(6): 2950-2959.
  • 8YU W, RHEE W, BOYD S, et al. Iterative water-filling for Gaussian vector multiple-access channels[J]. IEEE Transactions on Information Theory, 2004, 50(1): 145-152.
  • 9PALOMAR D P, CHIANG M. A tutorial on decomposition methods for network utility maximization[J]. IEEE Journal on Selected Areas in Communications, 2006, 24 (8)" 1439-1451.
  • 10GOLDSMITH A, JAFAR S A, JINDAL N, et al. Capacity limits of MIMO channels[J]. IEEE Journal on Selected Areas in Communica- tions, 2003, 21(5): 684-702.

共引文献14

同被引文献19

  • 1DOPPLER K, RINNE M, WIJTING C, et al. Device-to- device communication as an underlay to LTE-advanced networks [ J ]. IEEE Communications Magazine, 2009, 47(12) : 42-49.
  • 2ASADI A, WANG Q, MANCUSO V. A Survey on De- vice-to-Device Communication in Cellular Networks [ J ]. IEEE Communications Surveys & Tutorials, 2014, 16 (4) : 1801-1819.
  • 3LIU Jiajia, KATO N, MA Jianfeng, et al. Device-to-De- vice Communication in LTE-Advanced Networks: A Sur- vey [ J ]. IEEE Communications Surveys & Tutorials, 2015, 17(4): 1923-1940.
  • 4CADAMBE V R, JAFAR S A. Interference alignment and the degree of freedom for the K user interference channel [ J ]. IEEE Transactions on Information Theory, 2008, 54(8) : 3425-3441.
  • 5OMAR E A, STEVEN W, ROBERT W. The practical challenges of interference alignment [ J ]. IEEE Wireless Communications, 2013, 20( 1 ) : 35-42.
  • 6GOMADAM K, CADAMBE V R, JAFAR S A. Approaching the capacity of wireless networks through distributed interfer- ence alignment[ C]//Global Telecommunications Conference ( GLOBLECOM). New Orleans :IEEE Press ,2008 : 1-6.
  • 7Qu x, KANG C G. An effective interference alignment approach for device-to-device communication underlaying multi-cell interference network [ C ]//ICT Convergence (ICTC). Jeju Island: IEEE Press, 2012: 219-220.
  • 8ELKOTBY H E, ELSAYED K M F, ISMAIL M H. Ex- ploiting interference alignment for sum rate enhancement in D2D-enabled cellular networks [ C ]//Wireless Com- munications and Networking Conference (WCNC). Shanghai: IEEE Press, 2012 : 1624-1629.
  • 9WONJAE S, KYUNG H J, CHOI H H. Device-to-Device communication assisted interference mitigation for next generation cellular networks [ C ]//'International Confer- ence on Consumer Electronics (ICCE). Las Vegas : IEEE Press, 2013: 623-624.
  • 10JIANG Jiamo, PENG Mugen, WANG Wenbo, et at. En- ergy efficiency optimization based on interference align- ment for device-to-device MIMO downlink underlaying cellular network [ C ]//Global Telecommunications Con- ference ( Globecom ). Atlanta : IEEE Press, 2013 : 585-590.

引证文献3

二级引证文献9

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