基于空间信道控制方式的频谱感知资源分配技术
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摘要
针对频谱资源中授权频段因信道质量和信号干扰等因素导致的感知频谱利用率不高的问题,提出了基于大规模天线空间信道控制的频谱感知资源分配方式.通过波束成型技术使主瓣波束对准期望用户,而在干扰源方向放置零陷,可有效地抑制对次级用户的干扰,并确保次级用户对感知频谱的使用,从而进一步提高系统的频谱效率.仿真结果显示,在信噪比为5 dB和10 dB时,所提方案的谱效率(系统吞吐量)优于其他策略.
Aiming at problem of lower utilization the authorized spectrum,due to channel quality and transmission power interference,a resource allocation technology was proposed based on the large scale antenna spatial channel controlling. Main lobes beam of multiple antenna beam forming points to the desired user and places the nulls in the interference direction,which can effectively suppress interference to secondary users and ensure that aware spectrum is used. As a result,the utilization ratio of frequency spectrum increased further in the whole system. The simulation results showed the throughput of the proposed method is better than the scheme in the literatures when signal to noise ratio is 5 dB and 10 dB.
Aiming at problem of lower utilization the authorized spectrum,due to channel quality and transmission power interference,a resource allocation technology was proposed based on the large scale antenna spatial channel controlling. Main lobes beam of multiple antenna beam forming points to the desired user and places the nulls in the interference direction,which can effectively suppress interference to secondary users and ensure that aware spectrum is used. As a result,the utilization ratio of frequency spectrum increased further in the whole system. The simulation results showed the throughput of the proposed method is better than the scheme in the literatures when signal to noise ratio is 5 dB and 10 dB.
引文
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[2]徐超.认知无线电网络中的安全中继选择与功率分配研究[D].北京邮电大学,2015.
[3]Xu D, Li Q. Energy efficient joint scheduling and resource allocation for downlink cognitive radio networks[C]∥International Conference on Wireless Communications&Signal Processing.[S. l.]:IEEE,2015:1-5.
[4]马琳.基于OFDM的无线协同中继系统资源优化分配研究[D].北京:北京邮电大学,2015.
[5]Manna T,Misra I S. Joint optimization of detection thresholds and power allocation in OFDM based cognitive femtocell networks[C]∥IEEE International Conference on Communication, Networks and Satellite.[S. l.]:IEEE,2013:69-73.
[6]张碧玲.认知无线电网络中的频谱共享策略研究[D].北京邮电大学,2013.
[7]Tervo O,Tran L N,Juntti M. Decentralized coordinated beamforming for weighted sum energy efficiency maximization in multi-cell MISO downlink[C]∥IEEE Global Conference on Signal and Information Processing.[S.l.]:IEEE,2016:1387-1391.
[8]Qiu Ling,Xu Jie,Liu Bei,et al. Multi-user multi-cell MIMO communication technology[M]. Beijing:Posts and Telecommunications Press,2011:129-131.
[9]He S,Huang Y,Yang L. Coordinated beamforming for sum rate maximization in multi-cell downlink systems[J]. Signal Processing,2014,105(12):22-29.
[10]Tervo O,Tran L N,Juntti M. Decentralized coordinated beamforming for weighted sum energy efficiency maximization in multi-cell MISO downlink[C]∥IEEE Global Conference on Signal and Information Processing.[S.l.]:IEEE,2016(1):1387-1391.
[11]Tong Z,Li B,Hui Y. Joint scheduling and beamforming for energy efficiency maximization in downlink coordinated multi-cell networks[J]. Wireless Personal Communications,2015,85(3):1333-1350.