… Unfortunately, interference in dense wireless network deployment becomes a key capacity
… Letaief, “Large-scale convex optimization for dense wireless cooperative networks,” IEEE …

… optimal solution. Here we present an efficient local optimization framework called successive
convex … are quite efficient for large-scale problems, and thus are well suited to ultra dense …

… To reduce the problem size and to design a truly parallel algorithm, we re-build the
convex model into a redundant formulation. Owing to this formulation, the large-scale convex …

… at the macrocell tier are equipped with large-scale antenna arrays to provide space diversity
… employ convex optimization techniques to find feasible solutions to these highly non-convex …

… We can solve this convex optimization problem by using standard techniques such as CVX
[39], then the optimal coordinated routes under ordered visiting assignment can be found. …

… large-scale cell-free massive MIMO regarding the four utility metrics above. In particular we
find that, in the domain of large-scale … , which means that large-scale cell-free massive MIMO …

… To provide spatial file diversity (which can improve performance of dense wireless networks…
convex optimization problem with a differentiable nonconvex objective function and a convex …

… The semidefinite relaxation (SDR) [19] and successive convex approximation (SCA) [20]
techniques are widely applied to solve non-convex optimization problems (eg, non-convex …

… maximization problem into an equivalent convex optimization problem. Then the classic …
Letaief, ‘‘Large-scale convex optimization for dense wireless cooperative networks,’’ IEEE …

This work studies multigroup multicasting transmission in cloud radio access networks (C-RANs)
with simultaneous wireless information and power transfer where densely packed …