首页> 外文期刊>Wireless Communications, IEEE Transactions on >The Sum-Capacity of the Ergodic Fading Gaussian Cognitive Interference Channel
【24h】

The Sum-Capacity of the Ergodic Fading Gaussian Cognitive Interference Channel

机译:遍历衰落高斯认知干扰通道的和容量

获取原文
获取原文并翻译 | 示例
           

摘要

This paper characterizes the sum-capacity of the ergodic fading Gaussian overlay cognitive interference channel (EGCIFC), a time-varying channel with two source–destination pairs in which a primary/licensed transmitter and a secondary/cognitive transmitter share the same spectrum and where the cognitive transmitter has noncausal knowledge of the primary user's message. The throughput/sum-capacity is characterized under the assumption of perfect knowledge of the instantaneous fading states at all terminals, which are assumed to form an ergodic process. A genie-aided outer bound on the sum-capacity is developed and then matched with an achievable scheme, thereby completely characterizing the sum-capacity of the EGCIFC. The power allocation policy that maximizes the sum-capacity is derived. It is shown that the sum-capacity achieving scheme for an EGCIFC is “separable” in all regimes (i.e., coding across fading states is not necessary), as opposed to the classical interference channel. Extensions to the whole capacity region are discussed. As a capacity achieving scheme for the EGCIFC under certain channel gain conditions, and as a topic of independent interest, the ergodic capacity of a point-to-point multiple-input–single-output channel with per-antenna power constraints and with perfect channel state information at all terminals is also derived.
机译:本文描述了遍历衰落的高斯叠加认知干扰信道(EGCIFC)的总容量,这是一个时变信道,具有两个源-目的地对,其中主/许可发射机和次/认知发射机共享相同的频谱,并且在哪里认知发送者对主要用户的消息具有非因果知识。吞吐量/总容量是在对所有终端的瞬时衰落状态有充分了解的假设下进行的,并假定这些遍历状态形成遍历过程。开发了总和容量上的精灵辅助外边界,然后将其与可实现的方案进行匹配,从而完全表征了EGCIFC的总和容量。得出使总容量最大化的功率分配策略。结果表明,与经典干扰信道相比,EGCIFC的求和能力实现方案在所有情况下都是“可分离的”(即,无需在衰落状态之间进行编码)。讨论了对整个容量区域的扩展。作为特定信道增益条件下EGCIFC的容量实现方案,以及作为独立利益的课题,具有每天线功率约束且具有完美信道的点对点多输入单输出信道的遍历容量还导出所有终端的状态信息。

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