无CSIT能量收集通信的分层编码
Layered Coding for Energy Harvesting Communication Without CSIT
摘要：
由于对资源的严格约束，在能量收集通信系统中在发射机处获取当前信道状态信息可能是不可行的。在本文中，我们优化的能量收集发射机，通信在慢衰落信道中，使用分层编码。发射机可以访问信道统计信息，但不知道确切的信道状态。在分层编码中，首先以不同的速率为每个信道状态设计码字，然后在传输之前对码字进行时分复用或叠加，从而产生两种传输策略。接收机然后基于实现的信道状态自适应地解码信息。变送器配备有非零内阻的有限容量电池。在每一个传输策略，我们首先制定和研究的平均速率最大化问题与非因果知识的收获功率变化。此外，假设统计知识和因果信息的收获功率变化，我们提出了一个次优算法，并与随机动态规划为基础的解决方案和贪婪的政策。
英文摘要：
Due to stringent constraints on resources, it may be infeasible to acquire the current channel state information at the transmitter in energy harvesting communication systems. In this paper, we optimize an energy harvesting transmitter, communicating over a slow fading channel, using layered coding. The transmitter has access to the channel statistics, but does not know the exact channel state. In layered coding, the codewords are first designed for each of the channel states at different rates, and then the codewords are either time-multiplexed or superimposed before the transmission, leading to two transmission strategies. The receiver then decodes the information adaptively based on the realized channel state. The transmitter is equipped with a finite-capacity battery having non-zero internal resistance. In each of the transmission strategies, we first formulate and study an average rate maximization problem with non-causal knowledge of the harvested power variations. Further, assuming statistical knowledge and causal information of the harvested power variations, we propose a sub-optimal algorithm, and compare with the stochastic dynamic programming based solution and a greedy policy.
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