Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Table 4

Future directions.

Key areas for future research	Energy efficiency-related concerns	Possible research focus
Machine learning-based energy-efficient techniques	Traditional machine learning techniques require high computational power requirements and may compromise on accuracy if delimited. Predictive approaches are however candidate technologies for future control systems	Development of disruptive low-energy predictive models that accurately perform their tasks, with entirely novel approaches.
Context-specific system design	Sweeping generalizations across application domains in wireless network designs prohibit energy efficiency opportunities that are application specific.	More context-specific energy-efficient designs from protocols and software to hardware design and management.; Design of robust and cost-effective networks to interact with their immediate (most times, peculiar) application environment in a way that improves energy efficiency.