  Feedback mechanism based algorithms are frequently used to solve network
optimization problems. These schemes involve users and network exchanging
information (e.g. requests for bandwidth allocation and pricing) to achieve
convergence towards an optimal solution. However, in the implementation, these
algorithms do not guarantee that messages will be delivered to the destination
when network congestion occurs. This in turn often results in packet drops,
which may cause information loss, and this condition may lead to algorithm
failing to converge. To prevent this failure, we propose least square (LS)
estimation algorithm to recover the missing information when packets are
dropped from the network. The simulation results involving several scenarios
demonstrate that LS estimation can provide the convergence for feedback
mechanism based algorithm.
