scholarly journals Dynamic Set Planning for Coordinated Multi-Point in B4G/5G Networks

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1752
Author(s):  
Jia-Ming Liang ◽  
Ching-Kuo Hsu ◽  
Jen-Jee Chen ◽  
Po-Han Lin ◽  
Po-Min Hsu ◽  
...  
Keyword(s):  
Large Scale ◽  
Base Stations ◽  
System Throughput ◽  
Transmission Power ◽  
5G Networks ◽  
Radio Resource ◽  
Set Size ◽  
Full Study ◽  
Radio Resources ◽  
Save Energy

Coordinated Multi-Point (CoMP) is an important technique in B4G/5G networks. With CoMP, multiple base stations can be clustered to compose a cooperating set to improve system throughput, especially for the users in cell edges. Existed studies have discussed how to mitigate overloading scenarios and enhance system throughput with CoMP statically. However, static cooperation fixes the set size and neglects the fast-changing of B4G/5G networks. Thus, this paper provides a full study of off-peak hours and overloading scenarios. During off-peak hours, we propose to reduce BSs’ transmission power and use the free radio resource to save energy while guaranteeing users’ QoS. In addition, if large-scale activities happen with crowds gathering or in peak hours, we dynamically compose the cooperating set based on instant traffic requests to adjust base stations’ BSs’ transmission power; thus, the system will efficiently offload the traffic to the member cells which have available radio resources in the cooperating set. Experimental results show that the proposed schemes enhance system throughput, radio resource utilization, and energy efficiency, compared to other existing schemes.

scholarly journals Satellite Integration into 5G: Accent on First Over-The-Air Tests of an Edge Node Concept with Integrated Satellite Backhaul

2019 ◽  
Vol 11 (9) ◽  
pp. 193 ◽  
Author(s):  
Florian Völk ◽  
Konstantinos Liolis ◽  
Marius Corici ◽  
Joe Cahill ◽  
Robert T. Schwarz ◽  
...  
Keyword(s):  
Network Architecture ◽  
Large Scale ◽  
Satellite Networks ◽  
Base Stations ◽  
Geostationary Orbit ◽  
Core Network ◽  
5G Networks ◽  
Remote Areas ◽  
Edge Node ◽  
Satellite Integration

The 5G vision embraces a broad range of applications including the connectivity in underserved and remote areas. In particular, for these applications, satellites are going to play a role in future 5G networks to provide capacity on trains, vessels, aircraft, and for base stations around the globe. In this paper, a 5G edge node concept, developed and evaluated with over-the-air tests using satellites in the geostationary orbit, is presented. The article covers a testbed demonstration study in Europe with a large-scale testbed including satellites and the latest standardization for the network architecture. The main goal of this testbed is to evaluate how satellite networks can be best integrated within the convergent 5G environment. The over-the-air tests for 5G satellite integration in this article are based on a 3GPP Release 15 core network architecture.

scholarly journals Limited Comp Handover Algorithm For LTE-Advanced

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Cheng-Chung Lin ◽  
Kumbesan Sandrasegaran ◽  
Xinning Zhu ◽  
Zhuliang Xu
Keyword(s):  
Base Stations ◽  
System Capacity ◽  
System Throughput ◽  
System Delay ◽  
Coordinated Multipoint ◽  
Multiple Data ◽  
Lte Advanced ◽  
Hard Handover ◽  
Radio Resources ◽  
Handover Algorithm

Coordinated multipoint (CoMP) transmission and reception is the key technique in LTE-Advanced to improve the cell-edge throughput and/or system throughput. Joint processing (JP) in CoMP technology provides multiple data transmission points for each user among multiple cooperated radio base stations. Hard handover mechanism is adopted to be used in LTE-Advanced. Standard hard handover algorithm could not satisfy the concept of JP in CoMP in LTE-A due to the constraint of single connection for each user at any time. While the radio resources in the system are fixed, the more multiple data connections a user has, the more radio resources are used for the extra data connections, thus the lower capacity a system becomes. Therefore a new handover algorithm that not only supports JP in CoMP but also takes system capacity into consideration in LTE-A system is necessary. This paper proposes a new handover algorithm known as Limited CoMP Handover Algorithm to support JP in CoMP and overcome the system capacity issue. System performance of Limited CoMP Handover Algorithm is evaluated and compared with open literature handover algorithm via simulation in this paper. The simulation results show that Limited CoMP Handover Algorithm outperforms open literature handover algorithm by having shorter system delay and less system load whilst maintaining a higher system throughput in a high congested network.

3D deployment of UAVs in wireless networks for traffic offloading and edge computing

2019 ◽  
Author(s):  
◽  
Rania Islambouli
Keyword(s):  
Wireless Networks ◽  
Large Scale ◽  
Scale Up ◽  
Integer Program ◽  
Use Cases ◽  
Base Stations ◽  
Mixed Integer ◽  
Mixed Integer Program ◽  
5G Networks ◽  
Iot Devices

Unmanned aerial vehicles (UAVs) have recently emerged as enablers for mul- titude use cases in 5G networks leading to interesting industrial and business applications. 5G networks envision a multi-service network promoting various applications with a distinct set of performance and service demands. In this the- sis, we leverage the high exibility, low-cost, and mobility of UAVs to scale up and improve the e ciency of IoT and mobile networks. We study the utilization of UAVs to increase the capacity and coverage in wireless networks on one side and to extend low computational capabilities and mitigate battery limitations in constrained devices on another side. However, to unlock these promising use cases of UAVs, we address the challenges coupled with UAV utilization mainly 3D deployment and device association. First, we address the problem of deploying multiple UAVs to act as aerial base stations (ABS) in 3D space while autonomously adapting their positions as users move around within the network. We formulate the problem as a mixed integer program and then propose a novel autonomous positioning approach that can e ciently gear the UAV positions in a way to maintain target quality re- quirements. Next, we leverage the mobility and agility of UAVs and use them as mo- bile edge servers or cloudlets to o er computation o oading opportunities to IoT devices. This being said, computation tasks generated by IoT devices can be pro- cessed in less latency and with much lower energy consumption at the devices. To optimally deploy UAVs as mounted cloudlets, we formulate our problem as mixed integer program and then use an e cient meta-heuristic algorithm to generate optimized results for large scale IoT networks. The simulation results presented in this thesis demonstrate the e ectiveness of the proposed solutions and algo- rithms compared to the optimal solutions and related work in the literature for various network scenario

scholarly journals Power and Radio Resource Management in Femtocell Networks for Interference Mitigation

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4843
Author(s):  
Sultan Alotaibi ◽  
Hassan Sinky
Keyword(s):  
Cost Function ◽  
Interference Mitigation ◽  
Radio Resource Management ◽  
Base Stations ◽  
Transmission Power ◽  
Wireless Data ◽  
Femtocell Networks ◽  
Rapid Improvement ◽  
Radio Resources ◽  
Two Stages

The growth of mobile traffic volume has been exploded because of the rapid improvement of mobile devices and their applications. Heterogeneous networks (HetNets) can be an attractive solution in order to adopt the exponential growth of wireless data. Femtocell networks are accommodated within the concept of HetNets. The implementation of femtocell networks has been considered as an innovative approach that can improve the network’s capacity. However, dense implementation and installation of femtocells would introduce interference, which reduces the network’s performance. Interference occurs when two adjacent femtocells are operated with the same radio resources. In this work, a scheme, which comprises two stages, is proposed. The first step is to distribute radio resources among femtocells, where each femtocell can identify the source of the interference. A constructed table is generated in order to measure the level of interference for each femtocell. Accordingly, the level of interference for each sub-channel can be recognized by all femtocells. The second stage includes a mechanism that helps femtocell base stations adjust their transmission power autonomously to alleviate the interference. It enforces a cost function, which should be realized by each femtocell. The cost function is calculated based on the production of undesirable interference impact, which is introduced by each femtocell. Hence, the transmission power is adjusted autonomously, where undesirable interference can be monitored and alleviated. The proposed scheme is evaluated through a MATLAB simulation and compared with other approaches. The simulation results show an improvement in the network’s capacity. Furthermore, the unfavorable impact of the interference can be managed and alleviated.

scholarly journals Intelligent Radio Resource Scheduling for LTE-Advanced using Wavelet Neural Network

2019 ◽  
Vol 8 (3) ◽  
pp. 3063-3070
Keyword(s):  
Neural Network ◽  
Large Scale ◽  
Resource Scheduling ◽  
Wavelet Neural Network ◽  
System Capacity ◽  
Theoretical Development ◽  
System Throughput ◽  
Time Interval ◽  
Radio Resource ◽  
Radio Resource Scheduling

This paper presents a novel technique for the efficient resource scheduling for Long Term Evaluation Advanced downlink transmission using wavelet neural network. The dynamism and the uncertainty in the resource scheduling due to the large scale of the network has been taken care through wavelet neural network. The proposed neural network based approach is trained to provide the best scheduling rule at every transmission time interval. Due to the superior estimation capability and better dynamic characteristics than conventional neural network, wavelet neural network offers a better radio resource scheduling. The objective of the proposed scheme is to enhance the system throughput, spectral efficiency and the system capacity. The simulation analysis is performed to verify the effectiveness of the theoretical development.

Smart spectrum and radio resource management for future 5G networks

2021 ◽  
Vol 193 ◽  
pp. 108089
Author(s):  
Miguel López-Benítez ◽  
Alessandro Raschellà ◽  
Sara Pizzi ◽  
Li Wang ◽  
Marco Di Felice ◽  
...  
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
5G Networks ◽  
Radio Resource

scholarly journals On the Throughput Optimization in Large-Scale Batch-Processing Systems

2021 ◽  
Vol 48 (3) ◽  
pp. 128-129
Author(s):  
Sounak Kar ◽  
Robin Rehrmann ◽  
Arpan Mukhopadhyay ◽  
Bastian Alt ◽  
Florin Ciucu ◽  
...  
Keyword(s):  
Large Scale ◽  
Mean Field ◽  
Queueing Network ◽  
Processing System ◽  
Batch Size ◽  
System Throughput ◽  
Throughput Optimization ◽  
Mean Field Model ◽  
Optimal Batch Size ◽  
Globally Attractive

We analyze a data-processing system with n clients producing jobs which are processed in batches by m parallel servers; the system throughput critically depends on the batch size and a corresponding sub-additive speedup function that arises due to overhead amortization. In practice, throughput optimization relies on numerical searches for the optimal batch size which is computationally cumbersome. In this paper, we model this system in terms of a closed queueing network assuming certain forms of service speedup; a standard Markovian analysis yields the optimal throughput in w n4 time. Our main contribution is a mean-field model that has a unique, globally attractive stationary point, derivable in closed form. This point characterizes the asymptotic throughput as a function of the batch size that can be calculated in O(1) time. Numerical settings from a large commercial system reveal that this asymptotic optimum is accurate in practical finite regimes.

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