This book proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity. All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms in the software of their choice. This book is an...
This book proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of su...
The combination of the best coastal scenery and the highest concentration of intricate woodland paths in north-west England make the Silverdale area a paradise for walkers.
The combination of the best coastal scenery and the highest concentration of intricate woodland paths in north-west England make the Silverdale area a...
This book proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity. All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms in the software of their choice. This book is an...
This book proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of su...
