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Table of Contents
Intro; Contents; 1 Challenges of 5G Green Communication Networks; 1.1 Introduction; 1.2 Evolution of Green Communications; 1.2.1 Computation Power; 1.2.2 New Issues Triggered by the Computation Power; 1.3 Computation and Communication Power in 5G Wireless Communication Systems; 1.3.1 Power Consumption at BSs; 1.3.2 Computation Power Model; 1.3.3 Evaluations of Computation Power; 1.3.4 Future Challenges; 1.4 New Issues in 5G Green Cellular Networks; 1.4.1 Computation Capability Factor; 1.4.2 Heat Dissipation Factor; 1.4.3 Maximum Receiving Rates for Smartphones
1.4.4 Simulation Results and Discussions1.4.5 Future Challenges; 1.5 Conclusions; References; 2 Energy Efficiency of 5G Wireless Communications; 2.1 Introduction; 2.2 Energy Efficient Hybrid Precoding Design; 2.2.1 Related Work; 2.2.2 System Model; 2.2.3 Problem Formulation; 2.2.4 Energy Efficient Hybrid Precoding Design; 2.2.5 Energy Efficient Optimization with the Minimum Number of RF Chains; 2.2.6 Simulation Results; 2.2.7 Conclusions; 2.3 Energy Efficient Optimization with RF Chains; 2.3.1 Related Work; 2.3.2 System Model; 2.3.3 Problem Formulation
2.3.4 Hybrid Precoding Design for the Partially-Connected Structure2.3.5 Simulation Results; 2.3.6 Conclusions; 2.4 Energy Efficient Power Control Scheme; 2.4.1 Related Work; 2.4.2 System Model; 2.4.3 Achievable Rate of MIMO PVT Random Cellular Networks; 2.4.4 Green MIMO Random Cellular Networks; 2.4.5 Simulation Results; 2.4.6 Conclusions; References; 3 Energy Efficiency of Cellular Networks; 3.1 On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks with NLoS and LoS Transmissions; 3.1.1 Introduction; 3.1.2 System Model; 3.1.3 Signal Propagation Model
3.1.4 Performance Analysis3.1.5 Network Transformation; 3.1.6 Performance Optimization and Tradeoff; 3.1.7 Results and Insights; 3.1.8 Conclusions and Future Work; 3.1.9 Appendix; 3.2 Spatial Spectrum and Energy Efficiency of Random Cellular Networks; 3.2.1 Introduction; 3.2.2 System Model; 3.2.3 Models of PVT Random Cellular Networks; 3.2.4 Spatial Spectrum and Energy Efficiency of PVT Random Cellular Networks; 3.2.5 Conclusions; 3.3 Energy Efficiency Optimization of 5G Full Duplex Cellular Networks: A Mean Field Game Approach; 3.3.1 Introduction; 3.3.2 System Model
3.3.3 Formulation of Energy Efficiency3.3.4 Network Energy Efficiency Optimization; 3.3.5 Algorithm Design of Mean Field Game; 3.3.6 Numerical Simulations of Mean Field Game; 3.3.7 Conclusion; References; 4 Energy Efficiency of 5G Multimedia Communications; 4.1 Introduction; 4.2 Energy Efficiency Optimization for MIMO-OFDM Mobile Multimedia Communication Systems with QoS Constraints; 4.2.1 Related Work; 4.2.2 System Model; 4.2.3 Energy Efficiency Modeling of MIMO-OFDM Mobile Multimedia Communication Systems; 4.2.4 Energy Efficiency Optimization of Mobile Multimedia Communication Systems
1.4.4 Simulation Results and Discussions1.4.5 Future Challenges; 1.5 Conclusions; References; 2 Energy Efficiency of 5G Wireless Communications; 2.1 Introduction; 2.2 Energy Efficient Hybrid Precoding Design; 2.2.1 Related Work; 2.2.2 System Model; 2.2.3 Problem Formulation; 2.2.4 Energy Efficient Hybrid Precoding Design; 2.2.5 Energy Efficient Optimization with the Minimum Number of RF Chains; 2.2.6 Simulation Results; 2.2.7 Conclusions; 2.3 Energy Efficient Optimization with RF Chains; 2.3.1 Related Work; 2.3.2 System Model; 2.3.3 Problem Formulation
2.3.4 Hybrid Precoding Design for the Partially-Connected Structure2.3.5 Simulation Results; 2.3.6 Conclusions; 2.4 Energy Efficient Power Control Scheme; 2.4.1 Related Work; 2.4.2 System Model; 2.4.3 Achievable Rate of MIMO PVT Random Cellular Networks; 2.4.4 Green MIMO Random Cellular Networks; 2.4.5 Simulation Results; 2.4.6 Conclusions; References; 3 Energy Efficiency of Cellular Networks; 3.1 On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks with NLoS and LoS Transmissions; 3.1.1 Introduction; 3.1.2 System Model; 3.1.3 Signal Propagation Model
3.1.4 Performance Analysis3.1.5 Network Transformation; 3.1.6 Performance Optimization and Tradeoff; 3.1.7 Results and Insights; 3.1.8 Conclusions and Future Work; 3.1.9 Appendix; 3.2 Spatial Spectrum and Energy Efficiency of Random Cellular Networks; 3.2.1 Introduction; 3.2.2 System Model; 3.2.3 Models of PVT Random Cellular Networks; 3.2.4 Spatial Spectrum and Energy Efficiency of PVT Random Cellular Networks; 3.2.5 Conclusions; 3.3 Energy Efficiency Optimization of 5G Full Duplex Cellular Networks: A Mean Field Game Approach; 3.3.1 Introduction; 3.3.2 System Model
3.3.3 Formulation of Energy Efficiency3.3.4 Network Energy Efficiency Optimization; 3.3.5 Algorithm Design of Mean Field Game; 3.3.6 Numerical Simulations of Mean Field Game; 3.3.7 Conclusion; References; 4 Energy Efficiency of 5G Multimedia Communications; 4.1 Introduction; 4.2 Energy Efficiency Optimization for MIMO-OFDM Mobile Multimedia Communication Systems with QoS Constraints; 4.2.1 Related Work; 4.2.2 System Model; 4.2.3 Energy Efficiency Modeling of MIMO-OFDM Mobile Multimedia Communication Systems; 4.2.4 Energy Efficiency Optimization of Mobile Multimedia Communication Systems