Abstract
In a 5G ultra-dense network, dynamic network topology and traffic patterns lead to excessive system overhead and complex radio resource conflicts. The cloud radio access network and the fog computing have the advantages of high computation capabilities and low transmission delays. Therefore, by taking full advantage of these two characteristics, this study proposes a novel radio resource coordination and scheduling scheme in an ultra-dense cloud-based small cell network. Interference among small cells (or remote radio heads) can be avoided by implementing centralized cooperative processing in the base band unit pool in advance. Resource sharing in coordination and transfer depend on fog computing to relieve the overloaded cloud processing platform and reduce transmission delays, thereby maximizing resource utilization and minimizing system overhead when the network topology and number of users change dynamically. The simulation shows that the proposed scheme can increase the system throughput by 20% compared with the clustering-based algorithm; it can also increase system throughput by 33% compared with the graph coloring algorithm, decrease the signaling overhead by about 50%, and improve network’s quality of service.
Highlights
Given current demand, broadband mobile data is expected to be ubiquitously available
2 Methods Considering Cloud-RAN and fog computing, this study presents a novel resource coordination and scheduling scheme in ultra-dense cloud-based small cells to improve system throughput and reduce system signaling overhead
Resource coordination between fog devices can be divided into three situations: (1) when some small cells power off, the cloud-based system will obtain resource of the fog device that these small cells belong to; (2) when some small cells power on, the cloud adjusts the resources between the fog device, whose small cells power on, and its adjacent fog device to ensure a minimal amount of physical resource block (PRB) switching in subsequent processes; (3) when fog device resources are insufficient, the fog device lacking resources needs to either send a request for resources to the system resource pool in the cloud or borrow resources from adjacent fog devices, a process that aims to minimize the amount of PRB switching
Summary
Broadband mobile data is expected to be ubiquitously available. The industry has predicted a 1000-fold increase in mobile data traffic within the decade. Ultra-dense network (UDN) deployment appears promising for improving network capacity [1, 2]. Traditional operators must deploy more infrastructure to address myriad challenges associated with data proliferation, which increases total costs significantly [3, 4]. Radio resource management and scheduling in UDNs comprise an important means of network capacity promotion; because a larger number of small cells are needed to promote higher data capacity, problems related to interference and system overhead in the current UDN are much more severe than those in existing cellular mobile communication networks.
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