Energy-Efficient Power Control: A Look at 5G Wireless Technologies
Top Cited Papers
- 12 November 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 64 (7), 1668-1683
- https://doi.org/10.1109/tsp.2015.2500200
Abstract
This paper develops power control algorithms for energy efficiency (EE) maximization (measured in bit/Joule) in wireless networks. Unlike previous related works, minimum-rate constraints are imposed and the signal-to-interference-plus-noise ratio takes a more general expression, which allows one to encompass some of the most promising 5G candidate technologies. Both network-centric and user-centric EE maximizations are considered. In the network-centric scenario, the maximization of the global EE and the minimum EE of the network is performed. Unlike previous contributions, we develop centralized algorithms that are guaranteed to converge, with affordable computational complexity, to a Karush-Kuhn-Tucker point of the considered non-convex optimization problems. Moreover, closed-form feasibility conditions are derived. In the user-centric scenario, game theory is used to study the equilibria of the network and to derive convergent power control algorithms, which can be implemented in a fully decentralized fashion. Both scenarios above are studied under the assumption that single or multiple resource blocks are employed for data transmission. Numerical results assess the performance of the proposed solutions, analyzing the impact of minimum-rate constraints, and comparing the network-centric and user-centric approaches.Keywords
Other Versions
This publication has 38 references indexed in Scilit:
- Distributed energy-efficient power optimization in cellular relay networks with minimum rate constraintsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Distributed Energy-Efficient Power Optimization for CoMP Systems With Max-Min FairnessIEEE Communications Letters, 2014
- Precoding for Full Duplex Multiuser MIMO Systems: Spectral and Energy Efficiency MaximizationIEEE Transactions on Signal Processing, 2013
- Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?IEEE Journal on Selected Areas in Communications, 2013
- Coordinated Scheduling and Power Allocation in Downlink Multicell OFDMA NetworksIEEE Transactions on Vehicular Technology, 2009
- Power Control By Geometric ProgrammingIEEE Transactions on Wireless Communications, 2007
- Low-Complexity Distributed Algorithms for Spectrum Balancing in Multi-User DSL NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Convex OptimizationPublished by Cambridge University Press (CUP) ,2004
- Technical Note—A General Inner Approximation Algorithm for Nonconvex Mathematical ProgramsOperations Research, 1978
- On Nonlinear Fractional ProgrammingManagement Science, 1967