首页> 外文OA文献 >Ergodic Sum-Rate Maximization for Fading Cognitive Multiple Access Channels without Successive Interference Cancellation
【2h】

Ergodic Sum-Rate Maximization for Fading Cognitive Multiple Access Channels without Successive Interference Cancellation

机译:用于衰落认知多址的遍历和率最大化   没有连续干扰消除的信道

摘要

In this paper, the ergodic sum-rate of a fading cognitive multiple accesschannel (C-MAC) is studied, where a secondary network (SN) with multiplesecondary users (SUs) transmitting to a secondary base station (SBS) shares thespectrum band with a primary user (PU). An interference power constraint (IPC)is imposed on the SN to protect the PU. Under such a constraint and theindividual transmit power constraint (TPC) imposed on each SU, we investigatethe power allocation strategies to maximize the ergodic sum-rate of a fadingC-MAC without successive interference cancellation (SIC). In particular, thispaper considers two types of constraints: (1) average TPC and average IPC, (2)peak TPC and peak IPC. For the first case, it is proved that the optimal powerallocation is dynamic time-division multiple-access (D-TDMA), which is exactlythe same as the optimal power allocation to maximize the ergodic sum-rate ofthe fading C-MAC with SIC under the same constraints. For the second case, itis proved that the optimal solution must be at the extreme points of thefeasible region. It is shown that D-TDMA is optimal with high probability whenthe number of SUs is large. Besides, we show that, when the SUs can be sortedin a certain order, an algorithm with linear complexity can be used to find theoptimal power allocation.
机译:在本文中,研究了衰落的认知多路访问信道(C-MAC)的遍历总速率,其中具有多个次级用户(SU)传输到次级基站(SBS)的次级网络(SN)共享与主用户(PU)。干扰功率约束(IPC)被强加给SN以保护PU。在这样的约束和施加在每个SU上的单独发射功率约束(TPC)下,我们研究了功率分配策略,以在不进行连续干扰消除(SIC)的情况下最大化衰落C-MAC的遍历总速率。特别是,本文考虑了两种约束类型:(1)平均TPC和平均IPC,(2)峰值TPC和峰值IPC。对于第一种情况,证明了最佳功率分配是动态时分多址(D-TDMA),与在SIC下使衰落C-MAC的遍历总速率最大化时的最佳功率分配完全相同。相同的约束。对于第二种情况,证明证明了最佳解决方案必须在可行区域的极端。结果表明,当SU的数量较大时,D-TDMA具有最佳的概率。此外,我们表明,当可以按一定顺序对SU进行排序时,可以使用具有线性复杂度的算法来找到最佳功率分配。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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