Trading off Network Density with Frequency Spectrum for Resource Optimization in 5G UltraDense Networks
Abstract
:1. Introduction
2. Basic Concepts, Assumptions and Models
2.1. Flexible RRM Algorithms
2.2. User Capacity in Dense Networks
2.3. Traffic Model
2.3.1. LongTerm LargeScale Traffic Model
 Define the average served data rates per user;
 Define the percentage of active users;
 Derive the deploymentspecific peak data rate per unit area (Mbps/km${}^{2}$), given the population densities of the respective deployment scenario;
 Determine the deploymentspecific data rates per unit area for a given time of the day with the aid of a daily traffic profiles.
 High traffic intensity profile: 2.0 Mbps/user;
 Medium traffic intensity profile: 0.5 Mbps/user;
 Low traffic intensity profile: 0.1 Mbps/user.
 Percentage of radio broadband data subscribers: $10\%$ of the whole population;
 Percentage of active users in busy/peak hours: $20\%$ of the users;
2.3.2. Traffic Intensity Maps
2.4. Traffic Constraints
3. Joint Network Density and Frequency Spectrum Optimization
3.1. Network Density and Spectrum Scheduler
3.2. MultiOperator Spectrum Sharing
Algorithm 1 Jointly optimal frequency bandwidth and network density scheduler. 

3.2.1. Exclusive Spectrum Allocation
Algorithm 2 Jointly network density and spectrum sharing. 

3.2.2. NonExclusive Spectrum Allocation
3.2.3. Frequency Spectrum Location
Algorithm 3 Resource scheduling of frequency spectrum. 

4. Numerical Results
4.1. Network Density and Frequency Bandwidth Optimization
4.2. Network Density and Spectrum Sharing Optimization
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A. Analysis of Joint Network Density and Frequency Spectrum Optimization Problem
Appendix A.1. Convexifiability
Appendix A.2. Globally Optimal Solution
Primal Variables Updates
Dual Variables Updates
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Deployment  Population Density (citizens/Km${}^{2}$)  Traffic Profile (Mbps/Km${}^{2}$)  

High  Medium  Low  
Dense urban  3000  120.0  30.0  6.0 
Urban  1000  40.0  10.0  2.0 
Suburban  500  20.0  5.0  1.0 
Rural  100  4.0  1.0  0.2 
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Koudouridis, G.; Soldati, P. Trading off Network Density with Frequency Spectrum for Resource Optimization in 5G UltraDense Networks. Technologies 2018, 6, 114. https://doi.org/10.3390/technologies6040114
Koudouridis G, Soldati P. Trading off Network Density with Frequency Spectrum for Resource Optimization in 5G UltraDense Networks. Technologies. 2018; 6(4):114. https://doi.org/10.3390/technologies6040114
Chicago/Turabian StyleKoudouridis, Georgios P., and Pablo Soldati. 2018. "Trading off Network Density with Frequency Spectrum for Resource Optimization in 5G UltraDense Networks" Technologies 6, no. 4: 114. https://doi.org/10.3390/technologies6040114