gain of about 17 dB can be achieved by MPTD compared to a
linear minimum mean square error (MMSE) filter with interference
rejection combining (IRC) [35].
An alternative approach that faces the joint MUD problem
from an optimization perspective is INP. It allows for the solution
of general estimation problems in a distributed, decentralized way
within a network. The special class of consensus-based algorithms
achieves this by iteratively reaching consensus of the estimates
among the processing nodes [36], [37]. The adaptation of INP for
an iterative distributed MUD has recently been presented in [38].
Due to its generic structure, INP can also be implemented with