Energy Efficient Hybrid Precoding in Heterogeneous Networks with Limited Wireless Backhaul Capacity

Keyphrases

• Backhaul Capacity 100%
• Convex Optimization 50%
• Convex Programming Problem 50%
• Cost Consumption 50%
• Difference of Convex Functions 100%
• Energy Consumption 50%
• Energy Efficiency 50%
• Energy-efficient Hybrid Precoding 100%
• First-order Approximation 50%
• Hardware Cost 50%
• Heterogeneous Networks 100%
• Hybrid Analog-digital Precoding 50%
• Integer Relaxation 50%
• Iterative Algorithm 50%
• Lagrange Duality 50%
• Macro Base Station 50%
• Millimeter-wave Frequency 50%
• Mixed-integer 50%
• Non-convexity 50%
• Numerical Results 50%
• Optimal Power Allocation 50%
• Optimization Framework 50%
• Orthogonal Frequency Division multiple Access (OFDMA) 50%
• Outer Loop 50%
• Precoding Schemes 50%
• Quality of Service Guarantee 50%
• Resource Allocation Algorithm 50%
• Small Cell BS 50%
• Two-loop 50%
• Two-tier Heterogeneous Networks 50%
• User Quality-of-service 50%
• Wireless Backhaul 100%

Computer Science

• Approximation (Algorithm) 33%
• Convex Optimization 33%
• Convex Programming 66%
• Energy Consumption 33%
• Energy Efficiency 33%
• Energy Efficient 100%
• Frequency Division Multiple Access 33%
• Hardware Cost 33%
• Heterogeneous Network 100%
• Iterative Algorithm 33%
• Macro Base Station 33%
• Optimal Power Allocation 33%
• Optimization Framework 33%
• precoding 100%
• Quality of Service 33%
• Resource Allocation 33%
• Wireless Backhaul 100%

Engineering

• Approximation Order 33%
• Basestation 33%
• Energy Conservation 33%
• Energy Efficiency 33%
• Energy Engineering 100%
• Hardware Cost 33%
• Heterogeneous Network 100%
• Iterative Algorithm 33%
• Lagrange 33%
• Millimeter Wave 33%
• Optimal Power Allocation 33%
• Orthogonal Frequency Division Multiple Access 33%
• Outer Loop 33%
• Quality of Service 33%