• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Information Theory >Capacity Analysis of Discrete Energy Harvesting Channels
【24h】

Capacity Analysis of Discrete Energy Harvesting Channels

机译：离散能量收集通道的容量分析

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We study the channel capacity of a general discrete energy harvesting channel with a finite battery. Contrary to traditional communication systems, the transmitter of such a channel is powered by a device that harvests energy from a random exogenous energy source and has a finite-sized battery. As a consequence, at each transmission opportunity, the system can only transmit a symbol whose energy is no more than the energy currently available. This new type of power supply introduces an unprecedented input constraint for the channel, which is simultaneously random, instantaneous, and influenced by the full history of the inputs and the energy harvesting process. Furthermore, naturally, in such a channel, the energy information is observed causally at the transmitter. Both of these characteristics pose great challenges for the analysis of the channel capacity. In this paper, we use techniques developed for channels with side information and finite-state channels, to obtain lower and upper bounds on the capacity of energy harvesting channels. In particular, in a general case with Markov energy harvesting processes, we use stationarity and ergodicity theory to compute and optimize the achievable rates for the channels, and derive a series of computable capacity upper and lower bounds.
机译：我们用有限的电池研究了一般离散能量采集通道的通道容量。与传统的通信系统相反，此信道的发射器由从随机外生能源中收集能量并具有有限尺寸电池的设备供电。结果，在每个传输机会处，系统只能发送其能量不超过当前可用能量的符号。这种新型电源为通道引入了前所未有的输入约束，该约束同时是随机的，瞬时的，并受输入的完整历史和能量收集过程的影响。此外，自然地，在这样的信道中，在发射机处因果地观察到能量信息。这两个特性都对信道容量的分析提出了巨大挑战。在本文中，我们使用为带有辅助信息的通道和有限状态通道开发的技术，以获取能量收集通道容量的上限和下限。尤其是在一般情况下采用马尔可夫能量收集过程时，我们使用平稳性和遍历性理论来计算和优化通道的可达到速率，并得出一系列可计算的容量上限和下限。

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