scholarly journals Proactive Caching at the Edge Leveraging Influential User Detection in Cellular D2D Networks

2018 ◽  
Vol 10 (10) ◽  
pp. 93 ◽  
Author(s):  
Anwar Said ◽  
Syed Shah ◽  
Hasan Farooq ◽  
Adnan Mian ◽  
Ali Imran ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Community Detection ◽  
Access Network ◽  
Clustering Coefficient ◽  
Traffic Load ◽  
D2d Communications ◽  
Eigenvector Centrality ◽  
Radio Access ◽  
Caching Scheme ◽  
Influential Users

Caching close to users in a radio access network (RAN) has been identified as a promising method to reduce a backhaul traffic load and minimize latency in 5G and beyond. In this paper, we investigate a novel community detection inspired by a proactive caching scheme for device-to-device (D2D) enabled networks. The proposed scheme builds on the idea that content generated/accessed by influential users is more probable to become popular and thus can be exploited for pro-caching. We use a Clustering Coefficient based Genetic Algorithm (CC-GA) for community detection to discover a group of cellular users present in close vicinity. We then use an Eigenvector Centrality measure to identify the influential users with respect to the community structure, and the content associated to it is then used for pro-active caching using D2D communications. The numerical results show that, compared to reactive caching, where historically popular content is cached, depending on cache size, load and number of requests, up to 30% more users can be satisfied using a proposed scheme while achieving significant reduction in backhaul traffic load.

scholarly journals A Novel Coordinated Edge Caching with Request Filtration in Radio Access Network

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Yang Li ◽  
Yuemei Xu ◽  
Tao Lin ◽  
Xiaohui Wang ◽  
Song Ci
Keyword(s):  
Access Network ◽  
Mobile Network ◽  
Network Capacity ◽  
Base Station ◽  
Radio Access Network ◽  
Limited Bandwidth ◽  
Content Caching ◽  
Radio Access ◽  
Caching Scheme ◽  
Average Latency

Content caching at the base station of the Radio Access Network (RAN) is a way to reduce backhaul transmission and improve the quality of experience. So it is crucial to manage such massive microcaches to store the contents in a coordinated manner, in order to increase the overall mobile network capacity to support more number of requests. We achieve this goal in this paper with a novel caching scheme, which reduces the repeating traffic by request filtration and asynchronous multicast in a RAN. Request filtration can make the best use of the limited bandwidth and in turn ensure the good performance of the coordinated caching. Moreover, the storage at the mobile devices is also considered to be used to further reduce the backhaul traffic and improve the users’ experience. In addition, we drive the optimal cache division in this paper with the aim of reducing the average latency user perceived. The simulation results show that the proposed scheme outperforms existing algorithms.

scholarly journals Analysis Of User Throughput Based Predictive Mobility Load Balancing Using Logarithmic Regression Of Reference Signal Received Quality In Long Term Evolution Radio Access Network

2018 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Achmad Rizal Danisya ◽  
Rendy Munadi ◽  
Sofia Naning Hertiana
Keyword(s):  
Load Balancing ◽  
Access Network ◽  
Long Term Evolution ◽  
Traffic Load ◽  
Resource Block ◽  
Radio Access Network ◽  
Term Evolution ◽  
Radio Access ◽  
User Throughput

The improvement of Long Term Evolution (LTE) radio access network services is affecting the increased value of traffic load in its network, which is causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which will make the total of gained throughput are not optimal. A method is required to move network load from overloaded cells to underloaded cells in order to balance the resource block allocation optimally. By using NS-3.26 simulation, User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produces an improvement of 2,29 % in average of total throughput of 63,33 % successful optimization.

scholarly journals PLANNING AND SIMULATION FOR RADIO ACCESS NETWORKS ON “SMALL CELLS” TECHNOLOGY FOR HETEROGENEOUS ENVIRONMENTS

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Gabriel Jaimes-Illanes
Keyword(s):  
Access Network ◽  
Development Planning ◽  
Economic Benefits ◽  
Traffic Load ◽  
Small Cells ◽  
Heterogeneous Environments ◽  
Technical Equipment ◽  
Technical Requirements ◽  
Radio Access ◽  
Technical Specifications

The document presents the planning and simulation of UMTS and LTE mobile telecommunications network by the use of Small Cells technology in heterogeneous environments solutions for real foray operators in Cochabamba to achieve efficiency in resource usage in a state of high traffic load of voice and data, and therefore achieve better utilities. The methodology is based on analytical development, planning, and simulation which take place in the first instance with the collection of information. In the following steps, the project requirements were identified, a vendor technical specifications comparison was made, and the Small Cell networks were designed by radio access network planning, cell distribution and dimensioning, transportation cadasters definition, technical equipment parametrization, and frequency plan determination. Finally a procedure of simulation for coverage predictions and design validation was made. It is concluded that the project is feasible and complies with technical requirements for land survey, services demand on voice and data, coverage for indoor or outdoor environments, mobility and transport users, parameters performance on RSCP, RSRP, RSRQ signal-to-noise ratio, capacity of users, specific scenario solutions and economic benefits on deployments.

scholarly journals Multi-Objective Caching Optimization for Wireless Backhauled Fog Radio Access Network

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 708
Author(s):  
Alaa Bani-Bakr ◽  
MHD Nour Hindia ◽  
Kaharudin Dimyati ◽  
Effariza Hanafi ◽  
Tengku Faiz Tengku Mohmed Noor Izam
Keyword(s):  
Pareto Front ◽  
Search Algorithm ◽  
Access Network ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Multi Objective ◽  
Radio Access ◽  
Caching Scheme ◽  
Cache Placement ◽  
Fog Radio Access Network

Proactive content caching in a fog radio access network (F-RAN) is an efficient technique used to alleviate delivery delay and traffic congestion. However, the symmetric caching of the content is impractical due to the dissimilarity among the contents popularity. Therefore, in this paper, a multi-objective random caching scheme to balance the successful transmission probability (STP) and delay in wireless backhauled F-RAN is proposed. First, stochastic geometry tools are utilized to derive expressions of the association probability, STP, and average delivery delay. Next, the complexity is reduced by considering the asymptotic STP and delay in the high signal-to-noise ratio (SNR) regime. Then, aiming at maximizing the STP or minimizing the delay, the multi-objective cache placement optimization problem is formulated. A novel projected multi-objective cuckoo search algorithm (PMOCSA) is proposed to obtain the Pareto front of the optimal cache placement. The numerical results show that PMOCSA outperforms the original multi-objective cuckoo search algorithm (MOCSA) in terms of convergence to a feasible Pareto front and its rate. It also shows that the proposed multi-objective caching scheme significantly outperforms the well-known benchmark caching schemes by up to 40% higher STP and 85% lower average delay.

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