4,708 research outputs found
Message passing resource allocation for the uplink of multicarrier systems
We propose a novel distributed resource allocation scheme for the up-link of
a cellular multi-carrier system based on the message passing (MP) algorithm. In
the proposed approach each transmitter iteratively sends and receives
information messages to/from the base station with the goal of achieving an
optimal resource allocation strategy. The exchanged messages are the solution
of small distributed allocation problems. To reduce the computational load, the
MP problems at the terminals follow a dynamic programming formulation. The
advantage of the proposed scheme is that it distributes the computational
effort among all the transmitters in the cell and it does not require the
presence of a central controller that takes all the decisions. Numerical
results show that the proposed approach is an excellent solution to the
resource allocation problem for cellular multi-carrier systems.Comment: 6 pages, 4 figure
Cooperative Synchronization in Wireless Networks
Synchronization is a key functionality in wireless network, enabling a wide
variety of services. We consider a Bayesian inference framework whereby network
nodes can achieve phase and skew synchronization in a fully distributed way. In
particular, under the assumption of Gaussian measurement noise, we derive two
message passing methods (belief propagation and mean field), analyze their
convergence behavior, and perform a qualitative and quantitative comparison
with a number of competing algorithms. We also show that both methods can be
applied in networks with and without master nodes. Our performance results are
complemented by, and compared with, the relevant Bayesian Cram\'er-Rao bounds
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