一种最大化系统用户速率下限的MIMO-MAC有限反馈干扰对齐算法
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摘要
针对2小区MIMO-MAC中传统有限反馈干扰对齐码字选择方案的不足,本文提出了一种最大化用户速率下界的直接码字选择方案,并结合比特分配算法来减少和速率的损失,同时采用最大信干扰算法译码.不同于传统的基于最小弦距离或对齐度准则来选择码字,本文从最大化用户速率下界的角度来选择的码字;进一步地,在格拉斯曼空间中生成与期望预编码接近的码字集合,在该集合中只需简单的搜索便可找到优化的码字组合,同时实现了低复杂度和次优的全局搜索.仿真实验表明,相对于现有的典型算法,本文算法在提升系统和速率的同时,也提高了系统用户速率的下界.
We propose a newcode word selected scheme that directly selects code words to maximize the rate lower bound and combine bit allocation algorithm to reduce the sum rate loss,which is based on analyzing the disadvantages of the traditional limited feedback interference alignment scheme in two-cell interfering MIMO-MAC. Meanwhile,we adopt MAX-SINR criterion to decode the target signal. Unlike the traditional limited feedback schemes which are based on minimum chordal distance or alignment degree criterion,we select optimized code words from the perspective of maximizing the rate lower bound. Further,we generate the sets of code words which are close to perfect precoder,and select the optimized code words in these sets through lowcomplexity and suboptimal global searching. The simulation results verify that the proposed algorithm effectively improves the performance of system and improves the rate lower bound compared with the existing typical algorithms.
We propose a newcode word selected scheme that directly selects code words to maximize the rate lower bound and combine bit allocation algorithm to reduce the sum rate loss,which is based on analyzing the disadvantages of the traditional limited feedback interference alignment scheme in two-cell interfering MIMO-MAC. Meanwhile,we adopt MAX-SINR criterion to decode the target signal. Unlike the traditional limited feedback schemes which are based on minimum chordal distance or alignment degree criterion,we select optimized code words from the perspective of maximizing the rate lower bound. Further,we generate the sets of code words which are close to perfect precoder,and select the optimized code words in these sets through lowcomplexity and suboptimal global searching. The simulation results verify that the proposed algorithm effectively improves the performance of system and improves the rate lower bound compared with the existing typical algorithms.
引文
[1]谢显中,黄倩,等.一种云存储中基于干扰对齐的多节点精确修复方法[J].电子学报,2014,42(10):1873-1881.XIE Xian-zhong,HUANG Qian,et al.A multi-node exact repair method in cloud storage based on interference alignment[J].Acta Electronica Sinica,2014,42(10):1873-1881.(in Chinese)
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[10]Ruixue Zhou,Tiejun Lv,Hui Gao,et al.A new limited feedback scheme for interference alignment in tw o-cell interfering M IM O-M AC[A].Proceedings of the IEEE23rd International Symposium on Personal Indoor and M obile Radio Communications[C].Sydney:IEEE,2012.1633-1638.
[11]Ruixue Zhou,Tiejun Lv,Wei Long,et al.Limited feedback schemes based on inter-cell interference alignment in tw o-cell interfering M IM O-M AC[A].Proceedings of the IEEE International Conference on Communications[C].Budapest:IEEE,2013.5214-5218.
[12]Myeong Jin Kim,Hyun Ho Lee,Young-Chai Ko.Limited feedback design for interference alignment on tw o-cell interfering M IM O-M AC[J].IEEE Transactions on Vehicular Technology,2015,64(9):4019-4030.
[13]Sungyoon Cho,Kaibin Huang,Dongku Kim,et al.Interference alignment for uplink cellular systems w ith limited feedback[J].IEEE Communications Letters,2012,16(7):960-963.
[14]Hui Gao,Tiejun Lv,Di Fang,et al.Limited feedbackbased interference alignment for interfering multi-access channels[J].IEEE Communications Letters,2014,18(4):540-543.
[15]Krishnamachari R T,Varanasi M K.Interference alignment under limited feedback for M IM O interference channels[J].IEEE Transactions on Signal Processing,2013,61(15):3908-3917.
[16]Xiaoming Chen,Chau Yuen.Performance analysis and optimization for interference alignment over M IM O interference channels w ith limited feedback[J].IEEE Transactions on Signal Processing,2014,62(7):1785-1795.
[17]Changho Suh,Minnie Ho,David N C Tse.Downlink interference alignment[J].IEEE Transactions on Communications,2011,59(9):2616-2626.
[18]Wei Dai,Youjian Liu,Brian Rider.Quantization bounds on grassmann manifolds and applications to M IM O communications[J].IEEE Transactions on Information Theory,2008,54(3):1108-1123.
[2]Jafar S A.Interference alignment-a new look at signal dimensions in a communication netw ork[J].Foundations and Trends in Communications and Information Theory,2011,7(1):1-136.
[3]Gomadam K,Cadambe V R,Jafar S A.Distributed numerical approach to interference alignment and applications to w ireless interference netw orks[J].IEEE Transactions on Information Theory,2011,57(6):3309-3322.
[4]El Ayach O,Peters S W,Heath R W Jr.The practical challenges of interference alignment[J].IEEE Wireless Communications,2013,20(1):35-42.
[5]Kim J S,Moon S H,Lee S R,et al.A new quantization strategy for M IM O interference alignment w ith limited feedback[J].IEEE Transactions on Wireless Communications,2012,11(1):358-366.
[6]Omar El Ayach,Robert W Heath Jr.Grassmannian differential limited feedback for interference alignment[J].IEEE Transactions on Signal Processing,2012,60(12):6481-6494.
[7]Jatin Thukral,Helmut B olcskei.Interference alignment w ith limited feedback[A].Proceedings of the IEEE International Symposium on Information Theory[C].Seoul:IEEE,2009.1759-1763.
[8]Rezaee M,Guillaud.Limited feedback for interference alignment in the K-user M IM O interference channel[A].Proceedings of the IEEE Information Theory Workshop[C].Lausanne:IEEE,2012.667-671.
[9]Namyoon Lee,Wonjae Shin,Bruno Clerckx.Interference alignment w ith limited feedback for tw o-cell interfering M IM O-M AC[A].Proceedings of the 2012 International Symposium on Wireless Communication Systems[C].Paris:IEEE,2012.566-570.
[10]Ruixue Zhou,Tiejun Lv,Hui Gao,et al.A new limited feedback scheme for interference alignment in tw o-cell interfering M IM O-M AC[A].Proceedings of the IEEE23rd International Symposium on Personal Indoor and M obile Radio Communications[C].Sydney:IEEE,2012.1633-1638.
[11]Ruixue Zhou,Tiejun Lv,Wei Long,et al.Limited feedback schemes based on inter-cell interference alignment in tw o-cell interfering M IM O-M AC[A].Proceedings of the IEEE International Conference on Communications[C].Budapest:IEEE,2013.5214-5218.
[12]Myeong Jin Kim,Hyun Ho Lee,Young-Chai Ko.Limited feedback design for interference alignment on tw o-cell interfering M IM O-M AC[J].IEEE Transactions on Vehicular Technology,2015,64(9):4019-4030.
[13]Sungyoon Cho,Kaibin Huang,Dongku Kim,et al.Interference alignment for uplink cellular systems w ith limited feedback[J].IEEE Communications Letters,2012,16(7):960-963.
[14]Hui Gao,Tiejun Lv,Di Fang,et al.Limited feedbackbased interference alignment for interfering multi-access channels[J].IEEE Communications Letters,2014,18(4):540-543.
[15]Krishnamachari R T,Varanasi M K.Interference alignment under limited feedback for M IM O interference channels[J].IEEE Transactions on Signal Processing,2013,61(15):3908-3917.
[16]Xiaoming Chen,Chau Yuen.Performance analysis and optimization for interference alignment over M IM O interference channels w ith limited feedback[J].IEEE Transactions on Signal Processing,2014,62(7):1785-1795.
[17]Changho Suh,Minnie Ho,David N C Tse.Downlink interference alignment[J].IEEE Transactions on Communications,2011,59(9):2616-2626.
[18]Wei Dai,Youjian Liu,Brian Rider.Quantization bounds on grassmann manifolds and applications to M IM O communications[J].IEEE Transactions on Information Theory,2008,54(3):1108-1123.
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