1,249 research outputs found
Optimized Cell Planning for Network Slicing in Heterogeneous Wireless Communication Networks
We propose a cell planning scheme to maximize the resource efficiency of a
wireless communication network while considering quality-of-service
requirements imposed by different mobile services. In dense and heterogeneous
cellular 5G networks, the available time-frequency resources are orthogonally
partitioned among different slices, which are serviced by the cells. The
proposed scheme achieves a joint optimization of the resource distribution
between network slices, the allocation of cells to operate on different slices,
and the allocation of users to cells. Since the original problem formulation is
computationally intractable, we propose a convex inner approximation.
Simulations show that the proposed approach optimizes the resource efficiency
and enables a service-centric network design paradigm.Comment: This article has been accepted for publication in a future issue of
the IEEE Communications Letters,
https://ieeexplore.ieee.org/document/8368293, (c) 2018 IEE
Modeling Profit of Sliced 5G Networks for Advanced Network Resource Management and Slice Implementation
The core innovation in future 5G cellular networksnetwork slicing, aims at
providing a flexible and efficient framework of network organization and
resource management. The revolutionary network architecture based on slices,
makes most of the current network cost models obsolete, as they estimate the
expenditures in a static manner. In this paper, a novel methodology is
proposed, in which a value chain in sliced networks is presented. Based on the
proposed value chain, the profits generated by different slices are analyzed,
and the task of network resource management is modeled as a multiobjective
optimization problem. Setting strong assumptions, this optimization problem is
analyzed starting from a simple ideal scenario. By removing the assumptions
step-by-step, realistic but complex use cases are approached. Through this
progressive analysis, technical challenges in slice implementation and network
optimization are investigated under different scenarios. For each challenge,
some potentially available solutions are suggested, and likely applications are
also discussed
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