论文标题
粒子强度通道的能力和最佳输入分布
Capacities and Optimal Input Distributions for Particle-Intensity Channels
论文作者
论文摘要
这项工作将粒子强度通道（PIC）引入了分子通信系统的模型，并表征了此类通道的最佳（能力实现）输入分布的容量限制和属性。在PIC中，发射器根据粒子释放的概率以给定持续时间的符号来编码信息，而接收器根据符号间隔中检测到的粒子数来检测和解码消息。在此通道中，发射器可能无法精确控制颗粒释放的概率，并且接收器可能无法检测到到达的所有颗粒。我们使用二项式通道的概括对此通道进行建模，并表明该通道的能力调整输入分布总是具有质量释放零和一个粒子释放概率的质量点。为了找到能力实调的输入分布，我们开发了一种有效的算法，我们称为动态分配blahut-arimoto（dab）。对于扩散的粒子传输，我们还得出了具有两个质量点的输入的条件。
This work introduces the particle-intensity channel (PIC) as a model for molecular communication systems and characterizes the capacity limits as well as properties of the optimal (capacity-achieving) input distributions for such channels. In the PIC, the transmitter encodes information, in symbols of a given duration, based on the probability of particle release, and the receiver detects and decodes the message based on the number of particles detected during the symbol interval. In this channel, the transmitter may be unable to control precisely the probability of particle release, and the receiver may not detect all the particles that arrive. We model this channel using a generalization of the binomial channel and show that the capacity-achieving input distribution for this channel always has mass points at probabilities of particle release of zero and one. To find the capacity-achieving input distributions, we develop an efficient algorithm we call dynamic assignment Blahut-Arimoto (DAB). For diffusive particle transport, we also derive the conditions under which the input with two mass points is capacity-achieving.
