Energy-Delay Efficient Power Control in Wireless Networks
arXiv:1711.00962 · doi:10.1109/TCOMM.2017.2755644
Abstract
This work aims at developing a power control framework to jointly optimize energy efficiency (measured in bit/Joule) and delay in wireless networks. A multi-objective approach is taken to deal with both performance metrics, while ensuring a minimum quality-of-service to each user in the network. Each user in the network is modeled as a rational agent that engages in a generalized non-cooperative game. Feasibility conditions are derived for the existence of each player's best response, and used to show that if these conditions are met, the game best response dynamics will converge to a unique Nash equilibrium. Based on these results, a convergent power control algorithm is derived, which can be implemented in a fully decentralized fashion. Next, a centralized power control algorithm is proposed, which also serves as a benchmark for the proposed decentralized solution. Due to the non-convexity of the centralized problem, the tool of maximum block improvement is used, to trade-off complexity with optimality.
13 pages, 6 figures, to appear on IEEE Transactions on Communications
References in corpus (7)
- A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead
- Energy-Efficient Power Control: A Look at 5G Wireless Technologies
- A Game-Theoretic Approach to Energy-Efficient Modulation in CDMA Networks with Delay QoS Constraints
- Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints
- Energy-Efficient Power Control in Impulse Radio UWB Wireless Networks
- Understanding Game Theory via Wireless Power Control
- Power Control in Networks With Heterogeneous Users: A Quasi-Variational Inequality Approach