A Semi-Distributed Approach for Uplink Max-Min Energy Efficiency Optimization with Minimum User Satisfaction and Adjacency Constraints
Maximizing energy efficiency is one of the pillars of modern networks. In this context, we consider in this letter a nonlinear max-min energy efficiency problem in the uplink of wireless networks. Due to the problem nonlinearity we resort to epigraph form so as to obtain an integer linear problem and to propose a centralized optimal solution for it using a branch-and-bound algorithm. Also because distributed solutions are useful to deal with high computational processing and scalability problems, we propose a low-complexity semi-distributed solution for the problem using a specific signaling scheme. Simulations show that the proposed semi-distributed solution performs closely to the centralized optimal scheme and outperforms state-of-the-art algorithms in terms of energy efficiency and outage rate.
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