Performance analysis of a distributed power control algorithm for shared and split spectrum femtocell networks

• Published in: Control theory and technology Vol. 14; no. 4; pp. 314 - 322
• Main Authors: Senel, Kamil, Akar, Mehmet
• Format: Journal Article
• Language: English
• Published: Guangzhou South China University of Technology and Academy of Mathematics and Systems Science, CAS 01-11-2016; Springer Nature B.V; Department of Electrical and Electronics Engineering, Bogazici University, Istanbul, 34342, Turkey
• Subjects: Complexity; Computational Intelligence; Control; Control and Systems Theory; Engineering; Mechatronics; Optimization; Power control; Robotics; Systems Theory; consensus; Femtocell networks; power control
• ISSN: 2095-6983; 2198-0942
• DOI: 10.1007/s11768-016-6093-7

In this paper, we study the performance of a distributed power adjustment algorithm for shared and split spectrum allocation setups. The theoretical analysis reveals that the convergence of the power control algorithm is guaranteed under different spectrum allocation schemes and the convergence rate is exponential. The performance analysis is also carried out via simulations which demonstrate the algorithm fairness under Jain＇s and Atkinkons＇ fairness indices.