Virtualized wireless networks : User association and resource allocation
Ngoc Tho Le ... [et al.]
- New York, NY : Springer Science+Business Media, c2018.
- xii, 103 p. : col. ill. ; 24 cm.
Preface; Contents; Acronyms; 1 Introduction ; 1.1 Motivations; 1.1.1 Wireless Networks: Trends and Challenges; 1.1.2 VWN: Requirements; 1.1.3 VWN: User-Association and Resource-Allocation Issues; 1.2 Emerging Technologies: A Brief Overview; 1.2.1 User-Association and Resource-Allocation; 1.2.2 Cloud-Radio Access Network (C-RAN); 1.2.3 Massive MIMO; 1.2.4 Non-orthogonal Multiple Access (NOMA); 1.3 Structure of This Brief; References; 2 Bandwidth-Efficient Joint User-Association and Resource-Allocation in Multi-Cell VWN ; 2.1 Introduction; 2.2 System Model and Problem Formulation. 2.3 Proposed Two-Level Iterative Algorithm2.3.1 User-Association Problem ; 2.3.2 Power-Allocation Problem; 2.4 Numerical Results and Discussions; 2.4.1 System Parameters; 2.4.2 Reference Resource Allocation; 2.4.3 Total Rate and Rate-Outage Evaluation; 2.4.4 Coverage Analysis; 2.4.5 Optimality Gap Study; 2.4.6 Computational Complexity and Convergence Analysis; 2.5 Concluding Remarks; References; 3 Power-Efficient Joint User-Association and Resource-Allocation in Multi-Cell VWN ; 3.1 Introduction; 3.2 System Model and Problem Formulation; 3.3 Proposed Algorithm; 3.3.1 User-Association Problem. 3.3.2 Power Minimization Problem3.4 Numerical Results and Discussions; 3.5 Concluding Remarks; References; 4 Uplink Resource-Allocation in VWN with Massive-MIMO and Dynamic Pilot-Duration ; 4.1 Introduction; 4.2 System Model and Problem Formulation; 4.3 Iterative Algorithm for Joint Resource and Adaptive Pilot Duration Allocation; 4.4 Numerical Results and Discussions; 4.5 Concluding Remarks; References; 5 User-Association and Resource-Allocation in a C-RAN-Based VWN ; 5.1 Introduction; 5.2 System Model; 5.3 Proposed Two-Level Iterative Algorithm; 5.3.1 Association Algorithm. 5.3.2 RRH Adjusting Algorithm5.4 Numerical Results and Discussions; 5.4.1 System Parameters; 5.4.2 Performance Analysis; 5.5 Concluding Remarks; References; 6 Resource Allocation in a NOMA-Based VWN ; 6.1 Introduction; 6.2 System Model; 6.2.1 NOMA; 6.2.2 OFDMA; 6.3 Proposed Algorithm; 6.3.1 Iterative Algorithm for NOMA-Based ResourceAllocation; 6.3.2 Dual Approach for OFDMA-Based Resource Allocation; 6.4 Numerical Results and Discussions; 6.5 Concluding Remarks; References; 7 Conclusion ; 7.1 Summary; 7.2 Potential Future Works. Appendix Brief Notes on Geometric Programmingand Successive Convex ApproximationA.1 Introduction to Geometric Programming; A.1.1 Monomial and Posynomial Function; A.1.2 Arithmetic-Geometric Mean Approximation; A.1.3 Geometric Programming; A.1.4 Complementary Geometric Programming; A.2 Multi-Block Successive Convex Approximation; References.
There have been recent advancements in wireless network technologies such as wireless virtualization to accommodate the exponential growth in demand, as well as to increase energy and infrastructure efficiencies. This SpringerBrief discusses the user-association and resource-allocation aspects in Virtualized Wireless Networks (VWNs) and highlights key technology innovations to meet their requirements. Various issues in practical implementation of VWNs are discussed along with potential techniques such as Massive MIMO, Cloud-Radio Access Network (C-RAN), and non-orthogonal multiple access (NOMA). This SpringerBrief will target researchers and professionals working on current and next-generation wireless networks. The content is also valuable for advanced-level students interested in wireless communications and signal processing for communications.