Performance of Data Traffic in Small Cells Networks with Inter-Cell Mobility

2017 ◽  
Author(s):  
Philippe OLIVIER ◽  
Alain SIMONIAN
Keyword(s):  
Small Cells ◽  
Data Traffic ◽  
Cell Mobility

scholarly journals Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3584
Author(s):  
Milembolo Miantezila Junior ◽  
Bin Guo ◽  
Chenjie Zhang ◽  
Xuemei Bai
Keyword(s):  
Interference Cancellation ◽  
Communication Systems ◽  
Spectrum Sharing ◽  
Null Space ◽  
Base Station ◽  
Base Stations ◽  
Small Cells ◽  
Data Traffic ◽  
New Approach ◽  
Lte Advanced

Cellular network operators are predicting an increase in space of more than 200 percent to carry the move and tremendous increase of total users in data traffic. The growing of investments in infrastructure such as a large number of small cells, particularly the technologies such as LTE-Advanced and 6G Technology, can assist in mitigating this challenge moderately. In this paper, we suggest a projection study in spectrum sharing of radar multi-input and multi-output, and mobile LTE multi-input multi-output communication systems near m base stations (BS). The radar multi-input multi-output and mobile LTE communication systems split different interference channels. The new approach based on radar projection signal detection has been proposed for free interference disturbance channel with radar multi-input multi-output and mobile LTE multi-input multi-output by using a new proposed interference cancellation algorithm. We chose the channel of interference with the best free channel, and the detected signal of radar was projected to null space. The goal is to remove all interferences from the radar multi-input multi-output and to cancel any disturbance sources from a chosen mobile Communication Base Station. The experimental results showed that the new approach performs very well and can optimize Spectrum Access.

scholarly journals Joint congestion control and resource allocation for energy-efficient transmission in 5G heterogeneous networks

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Jain-Shing Liu ◽  
Chun-Hung Lin ◽  
Heng-Chih Huang
Keyword(s):  
Communication Systems ◽  
Programming Model ◽  
System Stability ◽  
Small Cells ◽  
System Throughput ◽  
Significant Feature ◽  
Data Traffic ◽  
Performance Bound ◽  
System Overhead ◽  
Channel Information

Abstract The deployment of small cells with carrier aggregation (CA) is a significant feature of fifth generation (5G) mobile communication systems which could be characterized by the multi-dimensional heterogeneity on their diversified requirements upon different resources. Taking the heterogeneity into account, we consider here a joint optimization problem wherein multiple kinds of resources are concurrently allocated to optimize the system throughput utility while enhancing the network energy efficiency (EE) and maintaining the system stability. Especially, for the high-dimensional non-deterministic polynomial (NP)-hard allocation problem embedded, we conduct a mathematical programming model involving nonlinear integer constraints to seek the long-term stable utility on throughput and introduce an iterative optimal modulation and coding scheme-based (optimal MCS-based) heuristic algorithm as an effective solver. In addition, as data traffic and channel condition will be time-varying in the real world, an admission control based on the Lyapunov technique that requires no prior knowledge on channel information is proposed to reduce the system overhead. Finally, not only the performance bound is derived in theory, but also the numerical experiments are conduced to reveal its characteristics with respect to the system parameter V and the EE requirement.

scholarly journals Energy Efficient and Delay Aware 5G Multi-Tier Network

2019 ◽  
Vol 11 (9) ◽  
pp. 1019
Author(s):  
Nahina Islam ◽  
Ammar Alazab ◽  
Johnson Agbinya
Keyword(s):  
Energy Efficiency ◽  
Mobile Network ◽  
Base Station ◽  
Small Cells ◽  
Sleep Mode ◽  
Indoor Environments ◽  
Data Traffic ◽  
5G Networks ◽  
Energy Expenditures ◽  
Markov Decision

Multi-tier heterogeneous Networks (HetNets) with dense deployment of small cells in 5G networks are expected to effectively meet the ever increasing data traffic demands and offer improved coverage in indoor environments. However, HetNets are raising major concerns to mobile network operators such as complex distributed control plane management, handover management issue, increases latency and increased energy expenditures. Sleep mode implementation in multi-tier 5G networks has proven to be a very good approach for reducing energy expenditures. In this paper, a Markov Decision Process (MDP)-based algorithm is proposed to switch between three different power consumption modes of a base station (BS) for improving the energy efficiency and reducing latency in 5G networks. The MDP-based approach intelligently switches between the states of the BS based on the offered traffic while maintaining a prescribed minimum channel rate per user. Simulation results show that the proposed MDP algorithm together with the three-state BSs results in a significant gain in terms of energy efficiency and latency.

scholarly journals mmWave Backhaul Testbed Configurability Using Software-Defined Networking

2019 ◽  
Vol 2019 ◽  
pp. 1-24 ◽  
Author(s):  
Ricardo Santos ◽  
Konstantin Koslowski ◽  
Julian Daube ◽  
Hakim Ghazzai ◽  
Andreas Kassler ◽  
...  
Keyword(s):  
Channel Assignment ◽  
Large Scale ◽  
High Capacity ◽  
Software Defined Networking ◽  
Adaptive Mesh ◽  
Base Stations ◽  
Small Cells ◽  
Data Traffic ◽  
Wireless Backhaul ◽  
The Impact

Future mobile data traffic predictions expect a significant increase in user data traffic, requiring new forms of mobile network infrastructures. Fifth generation (5G) communication standards propose the densification of small cell access base stations (BSs) in order to provide multigigabit and low latency connectivity. This densification requires a high capacity backhaul network. Using optical links to connect all the small cells is economically not feasible for large scale radio access networks where multiple BSs are deployed. A wireless backhaul formed by a mesh of millimeter-wave (mmWave) links is an attractive mobile backhaul solution, as flexible wireless (multihop) paths can be formed to interconnect all the access BSs. Moreover, a wireless backhaul allows the dynamic reconfiguration of the backhaul topology to match varying traffic demands or adaptively power on/off small cells for green backhaul operation. However, conducting and precisely controlling reconfiguration experiments over real mmWave multihop networks is a challenging task. In this paper, we develop a Software-Defined Networking (SDN) based approach to enable such a dynamic backhaul reconfiguration and use real-world mmWave equipment to setup a SDN-enabled mmWave testbed to conduct various reconfiguration experiments. In our approach, the SDN control plane is not only responsible for configuring the forwarding plane but also for the link configuration, antenna alignment, and adaptive mesh node power on/off operations. We implement the SDN-based reconfiguration operations in a testbed with four nodes, each equipped with multiple mmWave interfaces that can be mechanically steered to connect to different neighbors. We evaluate the impact of various reconfiguration operations on existing user traffic using a set of extensive testbed measurements. Moreover, we measure the impact of the channel assignment on existing traffic, showing that a setup with an optimal channel assignment between the mesh links can result in a 44% throughput increase, when compared to a suboptimal configuration.

scholarly journals GPON and V-band mmWave in green backhaul solution for 5G ultra-dense network

2021 ◽  
Vol 11 (1) ◽  
pp. 390
Author(s):  
Ayodeji Akeem Ajani ◽  
Vitalice Kalecha Oduol ◽  
Zachaeus Kayode Adeyemo
Keyword(s):  
Energy Efficient ◽  
Performance Metrics ◽  
Optical Network ◽  
Passive Optical Network ◽  
Small Cells ◽  
Data Traffic ◽  
Dense Network ◽  
Millimetre Wave ◽  
V Band ◽  
Ultra Dense Network

Ultra-dense network (UDN) is characterized by massive deployment of small cells which resulted into complex backhauling of the cells. This implies that for 5G UDN to be energy efficient, appropriate backhauling solutions must be provided. In this paper, we have evaluated the performance of giga passive optical network (GPON) and V-band millimetre wave (mmWave) in serving as green backhaul solution for 5G UDN. The approach was to first reproduce existing backhaul solutions in Very Dense Network (VDN) scenario which served as benchmark for the performance evaluation for the UDN scenario. The best two solutions, GPON and V-band solutions from the VDN were then deployed in 5G UDN scenario. The research was done by simulation in MATLAB. The performance metrics used were power consumption and energy efficiency against the normalized hourly traffic profile. The result revealed that GPON and V-band mmWave outperformed other solutions in VDN scenario. However, this performance significantly dropped in the UDN scenariodue to higher data traffic requirement of UDN compared to VDN. Thus, it can be concluded that GPON and V-band mmWave are not best suited to serve as green backhaul solution for 5G UDN necessitating further investigation of other available backhaul technologies.

scholarly journals Performance evaluation of wireless data traffic in Mm wave massive MIMO communication

2020 ◽  
Vol 20 (3) ◽  
pp. 1342
Author(s):  
Ahmed Thair Al-Heety ◽  
Mohammad Tariqul Islam ◽  
Ahmed Hashim Rashid ◽  
Hasanain N. Abd Ali ◽  
Ali Mohammed Fadil ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Massive Mimo ◽  
Multiple Input Multiple Output ◽  
Network Capacity ◽  
System Capacity ◽  
Small Cells ◽  
Data Traffic ◽  
Wireless Data ◽  
Wireless Backhaul ◽  
Input Multiple Output

<span>Due to the evaluation of mobile devices and applications in the current decade, a new direction for wireless networks has emerged. The general consensus about the future 5G network is that the following should be taken into account; the purpose of thousand-fold system capacity, hundredfold energy efficiency, lower latency, and smooth connectivity. The massive multiple-input multiple-output (MIMO), as well as the Millimeter wave (mm Wave) have been considered in the ultra-dense cellular network (UDN), because they are viewed as the emergent solution for the next generations of communication. This article focuses on evaluating and discussing the performance of mm Wave massive MIMO for ultra-dense network, which is one of the major technologies for the 5G wireless network. More so, the energy efficiencies of two kinds of architectures for wireless backhaul networks were investigated and compared in this article. The results of the simulation revealed some points that should be considered during the deployment of small cells in the two architectures UDN with backhaul network capacity and backhaul energy efficiency, that the changing the frequency bands in Distribution approach gives the same energy efficiency reached to 600 Mb/s at 15 nodes while the Conventional approach results reached less than 100 Mb/s at the same number of nodes.</span>

QoS-Aware Green Communication Strategies for Optimal Utilization of Resources in 5G Networks

2019 ◽  
pp. 186-208 ◽  
Author(s):  
Ganesh Prasad ◽  
Deepak Mishra ◽  
Ashraf Hossain
Keyword(s):  
Network Architecture ◽  
Electricity Consumption ◽  
Small Cells ◽  
Data Traffic ◽  
Free Space Optical ◽  
Green Communication ◽  
Fifth Generation ◽  
Intelligent Technology ◽  
Green Wireless Communications ◽  
The Cost

With increase in demand of data traffic with no compromise on the underlying quality of service (QoS), the coexistence problem arises due to high electricity consumption by the network architecture which results in a huge CO2 emission and thereby causing various health hazards. Efficient utilization of the resources can reduce the cost of power consumption which will increase the economy-characteristics of the network. The resource consumption can be reduced under an intelligent technology-neutral policies which optimizes the deployment of the network architecture along with their transmit power paving the way for fifth generation (5G) in green wireless communications. On another front, the ultra-dense deployment of the small cells can increase the frequency reuse factor as well as help in reducing the energy consumption. This chapter designs the energy efficient networks while satisfying the underlying QoS by joint optimization of available resources depending on the interoperability challenges in terrestrial, underwater acoustic, and free space optical (FSO) communications.

QoS-Aware Green Communication Strategies for Optimal Utilization of Resources in 5G Networks

2021 ◽  
pp. 476-499
Author(s):  
Ganesh Prasad ◽  
Deepak Mishra ◽  
Ashraf Hossain
Keyword(s):  
Network Architecture ◽  
Electricity Consumption ◽  
Small Cells ◽  
Data Traffic ◽  
Free Space Optical ◽  
Green Communication ◽  
Fifth Generation ◽  
Intelligent Technology ◽  
Green Wireless Communications ◽  
The Cost

With increase in demand of data traffic with no compromise on the underlying quality of service (QoS), the coexistence problem arises due to high electricity consumption by the network architecture which results in a huge CO2 emission and thereby causing various health hazards. Efficient utilization of the resources can reduce the cost of power consumption which will increase the economy-characteristics of the network. The resource consumption can be reduced under an intelligent technology-neutral policies which optimizes the deployment of the network architecture along with their transmit power paving the way for fifth generation (5G) in green wireless communications. On another front, the ultra-dense deployment of the small cells can increase the frequency reuse factor as well as help in reducing the energy consumption. This chapter designs the energy efficient networks while satisfying the underlying QoS by joint optimization of available resources depending on the interoperability challenges in terrestrial, underwater acoustic, and free space optical (FSO) communications.

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