Green Virtualization for Multiple Collaborative Cellular Operators

  title={Green Virtualization for Multiple Collaborative Cellular Operators},
  author={Muhammad Junaid Farooq and Hakim Ghazzai and Elias Yaacoub and Abdullah Kadri and Mohamed-Slim Alouini},
  journal={IEEE Transactions on Cognitive Communications and Networking},
This paper proposes and investigates a green virtualization framework for infrastructure sharing among multiple cellular operators whose networks are powered by a combination of conventional and renewable sources of energy. Under the proposed framework, the virtual network formed by unifying radio access infrastructures of all operators is optimized for minimum energy consumption by deactivating base stations (BSs) with low traffic loads. The users initially associated to those BSs are off… 

Figures and Tables from this paper

A Cellular Backhaul Virtualization Market Design for Green Small-Cell Networks

The simulation results show that the proposed integrated green multi-hop backhaul system yields substantial gains for both operators and renewable energy suppliers compared with a non-virtualization backhaul network using conventional energy.

Radio resource sharing with edge caching for multi-operator in large cellular networks

A game-theoretic framework to model and analyze a cache-enabled virtualized cellular networks where the network infrastructure, e.g., BSs and cache storage, is rented and shared among multiple MNOs and a Stackelberg game model is formulated.

A Service-Oriented Approach for Radio Resource Management in Virtual RANs

A model of Radio Resource Management (RRM) for emerging Virtual Radio Access Networks, based on the interaction between two separated management entities, called Virtual-RRM (VRRM), which is responsible for service orchestration among Virtual Network Operators, enabling the definition of various services and policies, separately from vendors and underlying RATs is proposed.

Joint Multioperator Virtual Network Sharing and Caching in Energy Harvesting-Aided Environmental Internet of Things

Environmental monitoring is one of the fundamental applications of the Internet of Things (IoT), and caching in energy harvesting-aided IoT is a promising solution to handle the energy charging of

Energy-Efficient Virtual Radio Access Networks for Multi-Operators Cooperative Cellular Networks

This work proposes the sleep-mode with efficient beamformers and spectrum-sharing (SEBS) strategy, which minimizes BS power consumption of cooperative MNOs and explores the potentials of virtualized radio access and core networks to enable spectrum sharing among mobile network operators (MNOs) by harnessing inter-band non-contiguous carrier aggregation.

Energy and cost management in shared heterogeneous network deployments

This thesis provides contribution toward the achievement of a greener and more cost efficient operation of HetNet deployments, where multiple stakeholders develop their activity and where energy support can have the form of various alternate schemes, including renewable energy (RE) sources.

Green Heterogeneous Networks via an Intelligent Sleep/Wake-Up Mechanism and D2D Communications

A Fuzzy Q-Learning based energy-efficient sleep/wake-up mechanism for BSs in a heterogeneous network is proposed and results validate that the proposed framework provides significant improvements in power consumption and the EE while satisfying the minimum coverage and QoS requirements.

"Slice-aware Resource Orchestration of an Elastic 5G Network via Evolutionary Algorithms," European Networks and Communications Artificial Intelligence for 5G Networks, – 2019,

This work applies a multi-objective approach, based on evolutionary algorithms to accomplish optimized resource or- chestration between cloud-based slices in a 5G network deployed over a large European city.

A Base Station DTX Scheme for OFDMA Cellular Networks Powered by the Smart Grid

Simulation results illustrate that the proposed DTX scheme can significantly enhance the energy saving, and further improve the energy efficiency of the cellular networks.

On the evolution of infrastructure sharing in mobile networks: A survey

An emphasis is put on the relation between infrastructure sharing and the decoupling of infrastructure from services, wireless network virtualization and multi-tenancy in 5G networks.



Energy-efficient infrastructure sharing in multi-operator mobile networks

This article proposes an innovative distributed game theoretic BS switching off scheme, employing an integrated cost function that takes into account all the different cases for a given operator to serve its own traffic, and demonstrates some indicative simulation results in realistic scenarios.

Introducing fairness in cooperation among Green mobile network operators

A game theoretic model is proposed to introduce fairness and stability into the algorithm for switching off the cooperating base stations, aimed at making such a solution more attractive in real implementation scenarios where profit-driven network providers act as rational players.

Cooperative Base Station Switching Off in Multi-Operator Shared Heterogeneous Network

A cooperative switching off scheme for low-traffic hours that applies to both eNBs and SCs and exploits roaming-based infrastructure sharing to guarantee the provided quality of service (QoS) is proposed and shown that it achieves notable energy saving, without compromising the QoS to the network users.

Next-Generation Environment-Aware Cellular Networks: Modern Green Techniques and Implementation Challenges

Four important techniques that could be exploited separately or together in order to enable wireless operators achieve significant economic benefits and environmental savings are investigated: 1) the base station sleeping strategy; 2) the optimized energy procurement from the smart grid; 3) thebase station energy sharing; and 4) the green networking collaboration between competitive mobile operators.

Game-Theoretic Infrastructure Sharing in Multioperator Cellular Networks

This paper proposes a novel infrastructure-sharing algorithm for multioperator environments, which enables the deactivation of underutilized base stations during low-traffic periods and introduces a game-theoretic framework that enables the MNOs to individually estimate the switching-off probabilities that reduce their expected financial cost.

Energy efficient wireless Internet access with cooperative cellular networks

Optimized Smart Grid Energy Procurement for LTE Networks Using Evolutionary Algorithms

GA-based and PSO-based methods that reduce the energy consumption of BSs by not only shutting down underutilized BSs but by optimizing the amounts of energy procured from different retailers (renewable energy and electricity retailers), as well are proposed.

A Sharing- and Competition-Aware Framework for Cellular Network Evolution Planning

Using real-world demand and deployment data, this paper finds that the ability to share infrastructure essentially moves capacity from rural, sparsely populated areas to urban ones, with significant increases in resource efficiency.

Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks

This paper proposes a practically implementable switching-on/off based energy saving algorithm that can be operated in a distributed manner with low computational complexity and describes how the proposed algorithms can be implemented in practice at the protocol-level and also estimates the amount of energy savings through a first-order analysis in a simple setting.

Optimal Base Station Sleeping in Green Cellular Networks: A Distributed Cooperative Framework Based on Game Theory

A distributed cooperative framework for improving the energy efficiency of green cellular networks is proposed, and it is proved the existence of a generalized Nash equilibrium (GNE), and the best GNE coincides with the optimal solution of total energy consumption minimization.