DS-CDMA下行链路分组业务的小区容量估算研究.pdfDS-CDMA下行链路分组业务的小区容量估算

文件名称: DS-CDMA下行链路分组业务的小区容量估算研究.pdf

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详细说明：DS-CDMA下行链路分组业务的小区容量估算研究pdf,DS-CDMA下行链路分组业务的小区容量估算研究管明祥,王瑞春,李兴:DS-CDMA下行链路分组业务的小区容量估算研究2010,46(24)117 400 +Static-70 dB 0.20 实际PDU a Static-80 dBm 4- Static-70 dBm Static-90 dBm 34 Static-80 dBIm 包重传率吞吐量 tatic-90 dBm 33 0.10 平均PDU 250 包重传率 005 260 20 LER 30 日标值240 2345678910 2345678910 20040060080010001200 BLER目标值(%) BLER目标值(%) 时间序列/s 图1单小区容量与BLER目标值关系图2单连接的传输功率和BLER目标值的关系图3BLER和码资源对小区容量的影响在仅仅用到主扰码和在理想功率控制的条件下,下行链 multipath fading environment[J].IEEE Transactions on Vehicular 路384Kb/sPS业务的单小区容量和图4中的曲线很吻合,可 Tcchnology,2001,50(2):452464 以发现该小区容量值在310KB/s到240KB之间波动,此结2 I Guan Ming-xiang, Guo Qing, Li Xing DS-CDMA system outer 果与测量到的数据完全匹配。 loop power control and improvement for multi-service[]. Jour nal of System Engineering and Electronics, 2008, 19(3 ): 453-460 5结论 [3] John Y K, Gordon L S, lan F A Macrodiversity power control in hierarchical CDMa cellular systems[J]IEEE Journal on Se- 给出了一种 DS-CDMA系统下行链路的小区容量估计预 lected Areas in Communications, 2001, 19(2): 512-517 算方法,基于实验场景的下行链路SIR测试结果,给出了不同 [4] Gilhouscn K S, Jacobs I M On the capacity of a ccllular CD 场景下下行链路的小区容量。说明了下行链路小区容量与无 MA systems[J]. IEEE Transaction on Vehicular Technology, 1991 线信道环境、接收机性能密切相关,特别是与在不冋BLER目 0(2):455461. 标值下的EN值更为密切。通过本文给出的下行链路小区5] Dou Chie, Chang Yu-Hua, Yan Sheng-Yun Downlink throughput 容量计算方程,可以优化BLER目标值,确保得到最大的小区 analysis in a WCDMA network with mixed Qos traffic class 容量。但是在实际的系统中,小区容量还会受到实时BLER es[c]/The 5th International Symposium on Wireless Personal 实际值、PDU包的重传以及扰码资源等的影响,也解释了实际 Multimedia Communications 2002.1(1):87-91 4实验场景中小区容量测试结果。在实际的系统中,还需要调 [6 Shin S, Sung D DS-CDMA reverse link channel assignment based 整和空屮接口密切相关的参量。BLER目标值和PDU包重传 on interference measurements[J]. Electronics Letters, 2001, 31(22) 1897-1899 率的不匹配将影响参量和重传模式调整。 [7] Dimitriou N, Sfikas G, Tafazolli RQuality of service for multi- media CDMA[J]. IEEE Communications Magazine, 2007, 38(7 参考文献: 88-94 Kim D K, Adachi F. Theoretical analysis of reverse capacity for [8 3GPP TS 25.323 Physical channels and mapping of transport an SIR-based power-controlled cellular CDMA system link in a hannels onto physical channels(FDD)[S]. Release 4, 2003 (上接29页 Image and Vision Computing, 2007, 25: 1785-1801 征,并提出了多核函数支持向量机集成方法来对这些特征进3] Kumar A. Computer-vision-based fabric defect detection:Asur 行分类以确定瓶内液体杂质质量是否合格。多核函数支持向 vey[J].IEEE Transactions on Industrial Electronics, 2008, 55(1) 量机集成可以采用多个核函数,能够在保证各支持向量机分 348-363 类性能的情况下増加它们之间的差异,提高组成的支持向量 Ishii A, Mizuta T, Todo s Detection of foreign substances mixed 机集成的分类性能。最后的实验证明文中提出的检测系统是 a plastic bottle of medicinal solution using re 有效的。 age processing[C] Fourteenth International Conference on Pat tern Recognition, Australia, 1998: 1640-1650 [5 Ge Ji, Wang Yao-nan, Zhou Bo-wen, et al. Intelligent foreign par 参考文献: ticle inspection machine for injection liquid examination based [1] Anchini R, Di Leo G, Liguori C, et al. Metrological characteriza on modified pulse-coupled neural networks[J]. Sensors, 2009, 9 tion of a vision-based measurement system for the online in 3386-3404 ection of automotive rubber profile[J] IEEE Transactions on [6 Kim H-C, Pang S-N, Je H-M,et al. Constructing support vector Instrumentation and Measurement, 2009, 58(1): 4-13 machine ensemble].Pattern Recognition, 2003, 36: 2757-2767 [2] Lin Hong-Dar. Automated visual inspection of ripple defects using [7 Zhou Z, Wu J, Tang W Ensembling neural networks Many could wavelet characteristic based multivariate statistical approach[] be better than all[J]. Artificial Intelligence, 2002, 137(1/2): 239-263

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