Recently, small cells have been densely deployed in hot spots and overlaid with macro cells in order to guarantee the quality of service for voluminous multimedia data. For a small cell network (SCN), the long-term energy efficiency is one of the most challenging issues for conserving energy while achieving link capacity over the air-interface. In this paper, we present a novel downlink power control scheme to maximize the long-term energy efficiency over a time division multiple access system, which includes multiple small cells and a central controller. Toward this goal, we formulate a long-term energy efficiency optimization problem by defining a long-term energy efficiency metric and performing an iterative algorithm to obtain optimal solutions in real-time via fast convergence. The simulation results show that the proposed metric is very effective at improving the long-term energy efficiency and conserving 8.1 % of the energy on average when compared to a conventional metric. In addition, it is verified that the proposed metric is more effective for an SCN, in particular, when the link capacity is severely degraded due to inter-cell interference.
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Networks and Communications
- Electrical and Electronic Engineering