Joint Transmission and State Estimation: A Constrained Channel Coding Approach
Joint Transmission and State Estimation: A Constrained Channel Coding Approach
复制标题
联合传输和状态估计：约束信道编码方法
DOI：
10.1109/tit.2011.2158488
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发表时间：
2011
影响因子：
2.5
通讯作者：
U. Mitra
中科院分区：
文献类型：
--
作者：
Wenyi Zhang;S. Vedantam;U. Mitra
一个场景，涉及一个源，一个通道，和一个目的地，其中的目的地都有兴趣可靠地重建的源发送的消息，并估计与保真度标准的信道的状态，被认为是。信源知道信道统计信息，但不知道实际的信道状态实现。在此，建立了在大编码块长度的限制下，用于信道状态估计的失真约束可以被减少为对源输入分布的附加成本约束。一个新定义的容量失真函数，从而表征传输速率和状态估计失真之间的基本权衡。它还表明，非相干通信加上信道状态估计条件下处理的解码消息作为训练符号实现的容量失真函数。在所考虑的各种例子中，无记忆瑞利衰落信道的容量失真函数的特征在于在高信噪比下在1.443比特内。约束信道编码方法也被扩展到多个接入信道，导致耦合的成本约束的输入分布的发送源。
A scenario involving a source, a channel, and a destination, where the destination is interested in both reliably reconstructing the message transmitted by the source and estimating with a fidelity criterion the state of the channel, is considered. The source knows the channel statistics but is oblivious to the actual channel state realization. Herein, it is established that a distortion constraint for channel state estimation can be reduced to an additional cost constraint on the source input distribution, in the limit of large coding block length. A newly defined capacity-distortion function thus characterizes the fundamental tradeoff between transmission rate and state estimation distortion. It is also shown that noncoherent communication coupled with channel state estimation conditioned on treating the decoded message as training symbols achieves the capacity-distortion function. Among the various examples considered, the capacity-distortion function for a memoryless Rayleigh fading channel is characterized to within 1.443 bits at high signal-to-noise ratio. The constrained channel coding approach is also extended to multiple access channels, leading to a coupled cost constraint on the input distributions for the transmitting sources.