...
首页> 外文期刊>IEEE Transactions on Vehicular Technology >Multiobjective Distributed Power Control Algorithm for CDMA Wireless Communication Systems
【24h】

Multiobjective Distributed Power Control Algorithm for CDMA Wireless Communication Systems

机译:CDMA无线通信系统的多目标分布式功率控制算法

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Although power control has been explored since the early 1990s, there still remains the need for further research. Most of the algorithms so far consider either the problem of minimizing the sum of transmitted power under quality of service (QoS) constraints given in terms of minimum signal-to-interference-plus-noise ratio (SINR) in a static channel or the problem of mitigating fast fading in a single dynamic link. In this paper, we suggest a new approach to the power control by treating the QoS requirement as another objective for the power control and a fully distributed method for solving the multiobjective power optimization problem. The obtained solution is parameterized so that a tradeoff can be made between power consumption and QoS. In the limit case, when only QoS is weighted, the algorithm reduces to the well-known distributed power control algorithm (IEEE Trans. Commun., vol. 42, no. 2/3/4, pt. 1, Feb./Mar./Apr. 1994). In the other limit, the algorithm reduces to transmission with fixed minimum power. The convergence properties of the proposed algorithm are studied both theoretically and with numerical simulations. Although we only consider SINR and power sum, our algorithm could be easily modified to take other objectives, such as throughput, into account.
机译:尽管从1990年代初开始就研究了功率控制,但是仍然需要进一步的研究。迄今为止,大多数算法都考虑了根据静态信道中的最小信号干扰加噪声比(SINR)给出的,在服务质量(QoS)约束下使发射功率总和最小化的问题或问题单个动态链接中减轻快速衰落的方法。在本文中,我们通过将QoS要求作为功率控制的另一个目标,提出了一种新的功率控制方法,并提出了一种解决多目标功率优化问题的全分布式方法。对获得的解决方案进行参数化,以便可以在功耗和QoS之间进行权衡。在极限情况下,当仅对QoS加权时,该算法简化为众所周知的分布式功率控制算法(IEEE Trans。Commun。,第42卷,第2/3/4号,第1页,2月/ 3月(1994年4月)。在另一个限制中,算法减少为具有固定最小功率的传输。从理论上和数值模拟两方面研究了该算法的收敛性。尽管我们仅考虑了SINR和功率和,但可以轻松修改我们的算法以考虑其他目标,例如吞吐量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号