能量和采样受限的异步通信
Energy and Sampling Constrained Asynchronous Communication
摘要：
当信息在发射机处随机时间不频繁地可用时，对于突发通信，最近已经导出了发送一比特信息的最小能量，以及更一般地，最小成本。此结果假设接收器始终处于监听模式，并对所有通道输出进行采样，直到做出决定。如果接收器被限制为仅对信道输出的一部分f>0进行采样，则由于稀疏输出采样而导致的成本损失是多少？值得注意的是，没有惩罚：无论f>0，每单位成本的异步容量与全采样下相同，即当f=1时。在解码延迟方面甚至没有损失-从信息可用到信息被解码之间所经过的时间。后一个结果依赖于自适应采样的可能性;下一个样本可以根据过去的样本进行选择。在非自适应采样下，可以实现每单位成本的全采样异步容量，但解码延迟乘以1/f。因此，自适应采样策略是特别感兴趣的非常稀疏的采样制度。
英文摘要：
The minimum energy, and, more generally, the minimum cost, to transmit one bit of information has been recently derived for bursty communication when information is available infrequently at random times at the transmitter. This result assumes that the receiver is always in the listening mode and samples all channel outputs until it makes a decision. If the receiver is constrained to sample only a fraction f>0 of the channel outputs, what is the cost penalty due to sparse output sampling? Remarkably, there is no penalty: regardless of f>0 the asynchronous capacity per unit cost is the same as under full sampling, ie, when f=1. There is not even a penalty in terms of decoding delay---the elapsed time between when information is available until when it is decoded. This latter result relies on the possibility to sample adaptively; the next sample can be chosen as a function of past samples. Under non-adaptive sampling, it is possible to achieve the full sampling asynchronous capacity per unit cost, but the decoding delay gets multiplied by 1/f. Therefore adaptive sampling strategies are of particular interest in the very sparse sampling regime.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
