5G networks : planning, design and optimization /
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| Format: | eBook |
| Language: | English |
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London :
Academic Press,
[2018]
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Front Cover; 5G Networks; Copyright; Contents; Preface; 1 Concepts and Architectures in 5G; 1.1 Software-De ned Networking (SDN); Centralized and Distributed Control; Network Function Virtualization (NFV); OpenFlow; 1.2 IT Convergence; Big Data; Edge Computing; Security and Integrity; Energy Ef ciency; 1.3 Building Blocks; Optical Fiber; SD-WAN; Open Source Software; 1.4 Algorithms and Complexity Classes; Optimization Problems; Showing Problem Hardness; Algorithms for Hard Problems; Brute force; Analytical methods; Approximations; Heuristics; Problem restriction; Divide and conquer
- Randomization2 Network Modeling and Analysis; 2.1 Basic Properties; 2.2 Graph Representations; 2.3 Connectivity; Depth-First Search; Breadth-First Search; 2.4 Shortest Paths; Dijkstra's Algorithm; The Bellman-Ford Algorithm; 2.5 Minimum Spanning Trees; Sparseness of Graphs; Example Topologies; The Traveling Salesman Problem; The Nearest Neighbor Algorithm; Incremental Insertion; k-Optimal Methods; 2.6 Network Resilience; Network Cuts; The Deletion-Contraction Principle; 3 Network Science; 3.1 The Small-World Phenomenon; 3.2 The Erdos-Rényi Model; Graph Evolution; Degree Distribution
- Clustering Coef cient3.3 Scale-Free Networks; The Barabási-Albert Model; 3.4 Evolving Networks; 3.5 Degree Correlation; Average Next Neighbor Degree; The Correlation Coef cient; Structural Cut-Off; 3.6 Importance; 3.7 Robustness; 3.8 Attack Tolerance; 3.9 Fault Propagation; 3.10 Improving Robustness; 4 Self-Similarity, Fractality, and Chaos; 4.1 Self-Similarity: Causes and Implications; Smooth Traf c; The Poisson process; Bursty Traf c; The Markovian Additive Process; Long Range-Dependent Traf c; Fractional Brownian motion; 4.2 Stochastic Processes; Basic De nitions
- Self-Similar and Long Range-Dependent Processes4.3 Detection and Estimation; Detection of Poisson Characteristics; Detection and Estimation of Long-Range Dependence and Self-Similarity; 4.4 Wavelet Analysis; 4.5 Fractal Maps; The Iterated Function System; The Fractal Dimension; Box counting dimension; Information dimension; Correlation dimension; Control Limits; Online Process Monitoring; 5 Optimization Techniques; 5.1 Optimization Problems in 5G; 5.2 Mixed-Integer Programs; Dynamic Programming; Branch-and-Bound; 5.3 Rounding; 5.4 Simulated Annealing; 5.5 Genetic Algorithms
- Binary representationFitness function; Reproduction; Recombination (crossover); Mutation; 5.6 Swarm Algorithms; Ant Colony Optimization; Ant-based solution construction; Pheromone update; Particle Swarm Optimization; Parameters; Fire y Algorithm; 6 Clustering; 6.1 Applications of Clustering; 6.2 Complexity; 6.3 Cluster Properties and Quality Measures; Vertex Similarity; Expansion; Coverage; Performance; Conductance; 6.4 Heuristic Clustering Methods; k-Nearest Neighbor; k-Means and k-Median; 6.5 Spectral Clustering; Similarity Matrices; The e-neighborhood; k-Nearest neighbors; Laplacians