Performance Analysis of Network Coding with Binary Noisy Channels and Application to Optimal Energy Allocation
Paper in proceedings, 2006

We investigate the sink bit error probability (BEP) performance of an intermediate node encoding network (coded network). The network consists of statistically independent binary noisy channels. We observe three situations in which network coding can affect the sink BEP. An error marking algorithm is used to calculate the number of erroneous bits (error weight) in the sinks. Then we can calculate the sink BEP from the channel BEPs. Finally, we investigate the optimal transmitted energy allocation within a BEP constraint network.


Ming Xiao

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Tor Aulin

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Joint Turbo-Code and ITG Source-Channel Coding Symposium, Munich, Germany, April 2006.

9783800729470 (ISBN)

Subject Categories

Computer and Information Science



More information