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 accessible reference for researchers and industry
practitioners alike.
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