Capacity self-planning in Small Cell multi-tenant 5G Networks

@article{Muoz2017CapacitySI,
  title={Capacity self-planning in Small Cell multi-tenant 5G Networks},
  author={Pablo Mu{\~n}oz and Oriol Sallent and Jordi P{\'e}rez-Romero},
  journal={2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)},
  year={2017},
  pages={1109-1114}
}
Multi-tenancy allows diverse agents sharing the infrastructure in the 5th generation of mobile networks. Such a feature calls for more automated and faster planning procedures in order to adapt the network capacity to the varying traffic demand. To achieve these goals, Small Cells offer network providers more flexible, scalable, and cost-effective solutions compared to macrocell deployments. This paper proposes a novel framework for cell planning in multi-tenant Small Cell networks. In this… 

Figures and Tables from this paper

Self-Dimensioning and Planning of Small Cell Capacity in Multitenant 5G Networks
TLDR
A new framework for automated cell planning in multitenant small cell networks is proposed, taking advantage of the available network data, and the effectiveness of various methods to derive the planning specifications depending on the correlation between the tenant's and network's traffic demands is shown.
A novel optimal small cells deployment for next-generation cellular networks
TLDR
A new approach is proposed that optimizes small cells deployment in cellular networks to achieve three objectives : reduce the total cost of network installation, balancing the allocation of resources, and providing optimal coverage area with a lower amount of interference between adjacent stations.
Planning capacity for 5G and beyond wireless networks by discrete fireworks algorithm with ensemble of local search methods
TLDR
The proposed discrete fireworks algorithm (DFWA) uses an ensemble of local search methods: insert, swap, and interchange and can comparatively find good-quality solutions with moderate computing resources.
On the Automation of RAN Slicing Provisioning and Cell Planning in NG-RAN
TLDR
A functional framework for the management of network slicing for a NG-RAN infrastructure is presented, identifying the necessary information models and interfaces to support the dynamic provisioning of RAN slices and a self-planning solution is presented to illustrate how a traditional network management process such as planning is expected to evolve to cope with the new challenges associated with RAN slicing management.
Design and Simulation of Optimal Number of Small Cells Deployment in Fourth-Generation Cellular Networks
TLDR
The work proposed a new approach to evaluating the Number of Small Cells (NRS) deployment mathematically that provides the balance in resources allocation in the network in terms of transmitted power of each small cell and their placement in order to provide maximum capacity and coverage area with a lower level of interference between nearest wireless stations thus decreasing the total cost of network insulation.
Dense 5G Network Planning for Coastal Area at Aden City, Yemen
TLDR
The planning process came up with solutions which gave good results that show the planned network which use the frequency of 28 GHz reaching higher data rates that rise to 7.1 Gbps at each cell in Taiz City and 5.2 Gbps in Aden City.
Network Planning for Indoor Joint LTE and WLAN Networks
TLDR
A formulation of the network planning problem which effectively models the indoor deployment of joint LTE and WLAN small cells as an optimization problem and considerably decreases the interference in the network when compared to other network designs.
Capacity and energy management in massive mimo and heterogeneous small cell networks
  • M. Krishna, Puneet Bansal
  • Computer Science, Business
    2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
  • 2017
TLDR
The capacity and energy management techniques in M-MIMO and HSCN are discussed and the performance of H SCN is enhanced by using the methods such as resource allocation, user association, offloading, scheduling services in hotspots, mmWave and SDN.

References

SHOWING 1-10 OF 15 REFERENCES
Budgeted Cell Planning for Cellular Networks With Small Cells
TLDR
An approximation algorithm is developed that yields an (e - 1)/2e fraction of the optimum, which not only provides quality-guaranteed solutions to the budgeted cel planning problem but sheds useful lights on how to plan a HetNet with limited capital expenditure as well.
RMSC: A Cell Slicing Controller for Virtualized Multi-Tenant Mobile Networks
TLDR
The work presented in this paper addresses this challenge by designing a RAN Multi- tenant cell Slicing Controller (RMSC) that allows to flexibly share the RAN resources among multiple virtual operators (tenants).
A capacity broker architecture and framework for multi-tenant support in LTE-A networks
TLDR
The capacity broker is integrated into the 3rd Generation Partnership Project (3GPP) network management architecture using the minimum set of enhancements and the Multi-tenant Slicing (MuSli) of capacity algorithm is proposed, to allocate resources towards MVNOs in coarse time scales.
Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments
TLDR
This study shows how network densification reduces multi-user diversity, and thus proportional fair alike schedulers start losing their advantages with respect to round robin ones.
Optimized LTE Cell Planning With Varying Spatial and Temporal User Densities
TLDR
This paper proposes a novel method for the cell planning problem for fourth-generation (4G) cellular networks using metaheuristic algorithms to satisfy both cell coverage and capacity constraints simultaneously by formulating an optimization problem that captures practical planning aspects.
4G Heterogeneous Networks Base Station Planning Using Evolutionary Multi-objective Algorithm
  • Xu Liang, Hai-Lin Liu, Q. Wang
  • Computer Science
    2015 11th International Conference on Computational Intelligence and Security (CIS)
  • 2015
TLDR
A new BS planning model is built in which takes signal coverage, system capacity and cost as objective functions and takes interference as a very important constraint and Evolutionary multi-objective optimization algorithm is considered to solve the problem.
System-level performance evaluation of ultra-dense networks for 5G
TLDR
Numerical results demonstrate that PPP model still provides an accurate model for constructing unplanned tiers even when many practical limitations are taken into account.
Self-Organizing Networks (SON): Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE
TLDR
This book describes the architecture of Multi- technology SON for GSM, UMTS and LTE, along with the enabling technologies for SON planning, optimization and healing, and addresses the calculation of ROI for Multi-Technology SON, contributing to a more complete and strategic view of the SON paradigm.
NGMN Use Cases related to Self Organising Network , Overall Description ” , May , 2007
  • Self - Organizing Networks . Self - planning , self - optimization and self - healing for GSM , UMTS and LTE
  • 2012
Radio Frequency (RF) system scenarios
    ...
    ...