2 research outputs found
Scalable Spectrum Allocation for Large Networks Based on Sparse Optimization
Joint allocation of spectrum and user association is considered for a large
cellular network. The objective is to optimize a network utility function such
as average delay given traffic statistics collected over a slow timescale. A
key challenge is scalability: given Access Points (APs), there are
ways in which the APs can share the spectrum. The number of variables is
reduced from to , where is the number of users, by
optimizing over local overlapping neighborhoods, defined by interference
conditions, and by exploiting the existence of sparse solutions in which the
spectrum is divided into segments. We reformulate the problem by
optimizing the assignment of subsets of active APs to those segments. An
constraint enforces a one-to-one mapping of subsets to spectrum, and
an iterative (reweighted ) algorithm is used to find an approximate
solution. Numerical results for a network with 100 APs serving several hundred
users show the proposed method achieves a substantial increase in total
throughput relative to benchmark schemes.Comment: Submitted to the IEEE International Symposium on Information Theory
(ISIT), 201