基于传输块调度的WCDMA上行负荷控制算法
Transport Block Based Scheduling Algorithm for WCDMA Uplink Load Control
-
摘要: 在WCDMA系统中,小区的无线资源管理通常是在无线网络控制器(RNC)节点内完成.然而,专用传输信道上传输格式可以逐帧改变,基于传输格式的快速变化实际上构成一种无线资源控制能力。这种控制能力是由UE和Node B的MAC实体以及物理层协同完成的,完全不需要三层信令参与。该文根据WCDMA专用传输信道传输格式的快速变化能力,结合基于类的QoS策略,针对上行信道提出一种负荷控制算法,用以支持全分组业务。研究结果表明,在多业务环境下,各个用户能公平共享无线资源、同时能够实现实时业务时延保证。Abstract: In WCDMA system, the radio resource management entity is usually imple mented in the radio network controller. However, transport format in dedicated channels can be changed frame by frame. This fast format change can be seen as a fast part of the ra dio resource control, which is fulfilled by MAC and physical layer in user equipment and node B without any need for L3 signaling. Based on this capability and class-based QoS policy, this paper proposed an algorithm for WCDMA uplink load control. The algorithm consists of iterative rate control and packet scheduling. Simulation results show that the proposed algorithm can achieve fair sharing radio resource and guarantee QoS under multi-service environments.
-
Harri Holma, Antti Toskala. WCDMA for UMTS: Radio Access for Third Generation Mobile Communications. Chichester, England, John Wiley Sons, Ltd. 2000: 153-282.[2]Kim D I, Hossain E, Bhargava V K. Integrated rate and error control in variable spreading gain WCDMA system. Proc. of IEEE ICC2001, Helsinki, Finland, 2001: 1362-1366.[3]Vannithamby R, Sousa E. Performance of multi-rate data traffic using variable spreading gain in the reverse link under wideband CDMA. Proc. of IEEE VTC2000-Spring, Tokyo, Japan, 2000:1155-1159.[4]Gyung-Ho Hwang, Dong-Ho Cho. Distributed rate control for throughput maximization and QoS support in WCDMA system. Proc. of IEEE VTC2001-Fall, Atlantic City, NJ, USA, 2001:1721-1725.[5]Yile Guo, Hemant Chaskar. Class-based quality of service over air interfaces in 4G mobile networks. IEEE Communications Magazine, 2002, 40(3): 132-137.[6]3GPP TS 25.302 V4.2.0(2001-09), Services provided by the physical layer.[7]3GPP TS 25.212 V4.2.0(2001-09), Multiplexing and channel coding (FDD). ［8］3GPP TR 25.944 V4.1.0(2001-06), Channel coding and multiplexing examples.[8]IETF RFC2212, Specification of Guaranteed Quality of Service.[9]3GPP TS 25.104 V4.2.0 (2001-09), UTRA (BS) FDD radio transmission and reception.[10]3GPP TS 25.322 V4.2.0 (2001-09), RLC protocol specification.[11]3GPP TS 25.321 V4.2.0 (2001-09), MAC protocol specification. 期刊类型引用(9)
1. 全斯农，段颜翠，王威，邢世其，徐振海，肖顺平. 基于精细极化分解的PolSAR车辆目标检测方法. 中国科学:信息科学. 2024(06): 1516-1532 . 
百度学术2. 金啸宇，尹嫱，倪军，周勇胜，张帆，洪文. 一种基于场景合成和锚点约束的SAR目标检测网络. 南京信息工程大学学报(自然科学版). 2020(02): 210-215 . 百度学术3. 张嘉峰，张鹏，王明春，刘涛. G_0分布下基于白化滤波的极化SAR图像CFAR检测. 遥感学报. 2019(03): 443-455 . 百度学术4. 张嘉峰，张鹏，王明春，刘涛. Fisher分布下基于白化滤波的极化SAR图像CFAR检测方法. 电子学报. 2018(12): 2854-2861 . 百度学术5. 朱博，刘涛. 合成孔径雷达多视处理方法性能评估. 舰船电子工程. 2016(02): 46-49 . 百度学术6. 何楚，张宇，廖紫纤，徐新. 基于压缩感知的SAR图像CFAR目标检测算法. 武汉大学学报(信息科学版). 2014(07): 878-882 . 百度学术7. 刘高峰，李明，王亚军，张鹏. 一种新的基于非反射对称非负特征值分解的Freeman分解. 电子与信息学报. 2013(02): 368-375 . 
本站查看8. 刘高峰，李明，王亚军，张鹏，吴艳. 一种改进的极化SAR自适应非负特征值分解. 电子与信息学报. 2013(06): 1449-1455 . 本站查看9. 刘高峰，李明，王亚军，张鹏，吴艳. 基于层次非负特征值约束的Yamaguchi分解. 电子与信息学报. 2013(11): 2678-2685 . 本站查看其他类型引用(7)
-
百度学术
计量
- 文章访问数: 2359
- HTML全文浏览量: 131
- PDF下载量: 658
- 被引次数: 16
下载:
