Hierarchical Radio Resource Allocation for Network Slicing in Fog Radio Access Networks
- 31 January 2019
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Vehicular Technology
- Vol. 68 (4), 3866-3881
- https://doi.org/10.1109/tvt.2019.2896586
Abstract
Network slicing in fog radio access networks (F-RANs) is recognized as a cost-efficient solution to support future diverse use cases. However, with the number of user equipments (UEs) fast increasing, the centralized resource allocation architecture for network slicing can put heavy burdens on the global radio resource manager (GRRM), and meanwhile slice customization is not easy to achieve. To overcome the two issues, a hierarchical radio resource allocation architecture is proposed in this paper, where the GRRM is responsible for allocating subchannels to local radio resource managers (LRRMs) in slices, which then allocate the assigned resources to their UEs. Under this architecture, a hierarchical resource allocation problem is formulated, and the problem is further modeled as a Stakelberg game with the GRRM as the leader and LRRMs as followers, considering the hierarchy between the GRRM and LRRMs. Due to the NP-hardness of the followers' problems, a process based on exhaustive search is first proposed to achieve the Stackelberg equilibrium (SE). Nevertheless, when the network scale is large, achieving SE within limited decision making time is impractical for game players. Facing this challenge, the GRRM and LRRMs are seen as bounded rational players, and low complexity algorithms are developed to help them achieve local optimal solutions that lead to a weak version of SE. Simulation results show that there exists a tradeoff between the performance of slices, and the low complexity algorithms achieve close performance to that of exhaustive search and outperform other baselines significantly.Keywords
Funding Information
- State Major Science and Technology Special Project (2017ZX03001025-006, 2018ZX03001023-005)
- National Natural Science Foundation of China (61831002, 61728101)
- National Program for Special Support of Eminent Professionals
- National Science Foundation for Post-Doctoral Scientists of China (2018M641279)
- US National Science Foundation (CNS-1702957)
This publication has 44 references indexed in Scilit:
- Optimizing User Association and Spectrum Allocation in HetNets: A Utility PerspectiveIEEE Journal on Selected Areas in Communications, 2015
- Hybrid Overlay/Underlay Cognitive Femtocell Networks: A Game Theoretic ApproachIEEE Transactions on Wireless Communications, 2015
- Resource Provisioning in Wireless Virtualized Networks via Massive-MIMOIEEE Wireless Communications Letters, 2015
- Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2DPublished by European Alliance for Innovation n.o. ,2015
- Heterogeneous cloud radio access networks: a new perspective for enhancing spectral and energy efficienciesIEEE Wireless Communications, 2014
- Sparse Beamforming and User-Centric Clustering for Downlink Cloud Radio Access NetworkIEEE Access, 2014
- Low-Complexity Stackelberg Game Approach for Energy-Efficient Resource Allocation in Heterogeneous NetworksIEEE Communications Letters, 2014
- Wireless Network Virtualization: A Survey, Some Research Issues and ChallengesIEEE Communications Surveys & Tutorials, 2014
- Game-Theoretic Hierarchical Resource Allocation for Heterogeneous Relay NetworksIEEE Transactions on Vehicular Technology, 2014
- Matching with externalities for context-aware user-cell association in small cell networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013