scholarly journals Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xinyu Gu ◽  
Xin Deng ◽  
Qi Li ◽  
Lin Zhang ◽  
Wenyu Li
Keyword(s):  
Heterogeneous Network ◽  
Selection Procedure ◽  
Mobile Network ◽  
Network Capacity ◽  
Network Evolution ◽  
Range Extension ◽  
Traffic Load ◽  
System Level ◽  
Small Cells ◽  
Cell Range

As an attractive means of expanding mobile network capacity, heterogeneous network is regarded as an important direction of mobile network evolution. To increase the capacity of, for example, hot spots, a typical scenario in heterogeneous network is that the coverage areas of low power nodes (LPNs) are overlapped with macrocell. To increase the utilization of small cells generated by LPNs, cell range extension (CRE) is used to extend the coverage of the small cells by adding cell specific offset (CSO) to small cells during cell selection procedure. The value of CSO, however, needs to be set carefully. In this paper, the capacity of users in macrocells, users in small cells, and users in range extension areas is analyzed thoroughly in conditions with and without CRE. Based on the analysis, an adaptive CSO updating algorithm is proposed. The proposed algorithm updates the CSO value periodically by predicting the overall capacity and a new CSO value is selected which can give the optimal overall capacity. The proposed algorithm is evaluated by system-level simulations. Simulation results indicate that the proposed algorithm can ensure a nearly optimal performance in all tested traffic load situations.

scholarly journals Performance Evaluation of Moving Small-Cell Network with Proactive Cache

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Young Min Kwon ◽  
Syed Tariq Shah ◽  
JaeSheung Shin ◽  
Ae-Soon Park ◽  
Min Young Chung
Keyword(s):  
Performance Evaluation ◽  
Mobile Network ◽  
Network Capacity ◽  
Small Cell ◽  
System Capacity ◽  
System Level ◽  
Small Cells ◽  
Data Traffic ◽  
Wireless Backhaul ◽  
Cell Network

Due to rapid growth in mobile traffic, mobile network operators (MNOs) are considering the deployment of moving small-cells (mSCs). mSC is a user-centric network which provides voice and data services during mobility. mSC can receive and forward data traffic via wireless backhaul and sidehaul links. In addition, due to the predictive nature of users demand, mSCs can proactively cache the predicted contents in off-peak-traffic periods. Due to these characteristics, MNOs consider mSCs as a cost-efficient solution to not only enhance the system capacity but also provide guaranteed quality of service (QoS) requirements to moving user equipment (UE) in peak-traffic periods. In this paper, we conduct extensive system level simulations to analyze the performance of mSCs with varying cache size and content popularity and their effect on wireless backhaul load. The performance evaluation confirms that the QoS of moving small-cell UE (mSUE) notably improves by using mSCs together with proactive caching. We also show that the effective use of proactive cache significantly reduces the wireless backhaul load and increases the overall network capacity.

scholarly journals Countrywide Mobile Spectrum Sharing with Small Indoor Cells for Massive Spectral and Energy Efficiencies in 5G and Beyond Mobile Networks

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3825 ◽  
Author(s):  
Rony Kumer Saha
Keyword(s):  
Energy Efficiency ◽  
Mobile Networks ◽  
Spectral Efficiency ◽  
Spectrum Sharing ◽  
Performance Metrics ◽  
Interference Management ◽  
Mobile Network ◽  
System Level ◽  
Small Cells ◽  
Generic Model

In this paper, we propose a technique to share the licensed spectrums of all mobile network operators (MNOs) of a country with in-building small cells per MNO by exploiting the external wall penetration loss of a building and introducing the time-domain eICIC technique. The proposed technique considers allocating the dedicated spectrum Bop per MNO only its to outdoor macro UEs, whereas the total spectrum of all MNOs of the country Bco to its small cells indoor per building such that technically any small indoor cell of an MNO can have access to Bco instead of merely Bop assigned only to the MNO itself. We develop an interference management strategy as well as an algorithm for the proposed technique. System-level capacity, spectral efficiency, and energy efficiency performance metrics are derived, and a generic model for energy efficiency is presented. An optimal amount of small indoor cell density in terms of the number of buildings L carrying these small cells per MNO to trade-off the spectral efficiency and the energy efficiency is derived. With the system-level numerical and simulation results, we define an optimal value of L for a dense deployment of small indoor cells of an MNO and show that the proposed spectrum sharing technique can achieve massive indoor capacity, spectral efficiency, and energy efficiency for the MNO. Finally, we demonstrate that the proposed spectrum sharing technique could meet both the spectral efficiency and the energy efficiency requirements for 5G mobile networks for numerous traffic arrival rates to small indoor cells per building of an MNO.

Energy Efficiency of Cell Range Extension of Picocell

2013 ◽  
Vol 340 ◽  
pp. 507-511
Author(s):  
Yi Feng Lou ◽  
Wei Guo ◽  
Wen Hui Xiong
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Communication ◽  
Communication System ◽  
Heterogeneous Network ◽  
Base Station ◽  
Range Extension ◽  
Data Usage ◽  
Cell Range ◽  
Simulation Results

Energy efficiency is an important issue in the wireless communication system as the increasing number of wireless network users and the emerging data usage. Heterogeneous network (HetNet) is a possible way to reduce the energy consumption since the distance between user equipment (UE) and the base station is shortened in HetNet, which sharply reduce the pathloss between the transmitter and receiver. This paper investigates the energy efficiency of Pico-Macro system in terms of Joule per bit. A effects of using Cell Range Extension (CRE) of Picocell based on energy efficiency is investigated and verified through the simulation results.

scholarly journals Potential of dynamic spectrum allocation in LTE macro networks

2015 ◽  
Vol 13 ◽  
pp. 95-102
Author(s):  
H. Hoffmann ◽  
P. Ramachandra ◽  
I. Z. Kovács ◽  
L. Jorguseski ◽  
F. Gunnarsson ◽  
...  
Keyword(s):  
Mobile Network ◽  
Network Capacity ◽  
Dynamic Spectrum ◽  
Spectrum Allocation ◽  
Small Cells ◽  
Resource Utilisation ◽  
Dynamic Spectrum Allocation ◽  
Total Size ◽  
Site Specific ◽  
Traffic Distribution

Abstract. In recent years Mobile Network Operators (MNOs) worldwide are extensively deploying LTE networks in different spectrum bands and utilising different bandwidth configurations. Initially, the deployment is coverage oriented with macro cells using the lower LTE spectrum bands. As the offered traffic (i.e. the requested traffic from the users) increases the LTE deployment evolves with macro cells expanded with additional capacity boosting LTE carriers in higher frequency bands complemented with micro or small cells in traffic hotspot areas. For MNOs it is crucial to use the LTE spectrum assets, as well as the installed network infrastructure, in the most cost efficient way. The dynamic spectrum allocation (DSA) aims at (de)activating the available LTE frequency carriers according to the temporal and spatial traffic variations in order to increase the overall LTE system performance in terms of total network capacity by reducing the interference. This paper evaluates the DSA potential of achieving the envisaged performance improvement and identifying in which system and traffic conditions the DSA should be deployed. A self-optimised network (SON) DSA algorithm is also proposed and evaluated. The evaluations have been carried out in a hexagonal and a realistic site-specific urban macro layout assuming a central traffic hotspot area surrounded with an area of lower traffic with a total size of approximately 8 × 8 km2. The results show that up to 47 % and up to 40 % possible DSA gains are achievable with regards to the carried system load (i.e. used resources) for homogenous traffic distribution with hexagonal layout and for realistic site-specific urban macro layout, respectively. The SON DSA algorithm evaluation in a realistic site-specific urban macro cell deployment scenario including realistic non-uniform spatial traffic distribution shows insignificant cell throughput (i.e. served traffic) performance gains. Nevertheless, in the SON DSA investigations, a gain of up to 25 % has been observed when analysing the resource utilisation in the non-hotspot cells.

Performance Evaluation of LTE-Advanced Heterogeneous Network Deployment Using Carrier Aggregation between Macro and Small Cells

2013 ◽  
Vol E96.B (6) ◽  
pp. 1297-1305
Author(s):  
Takahiro TAKIGUCHI ◽  
Kohei KIYOSHIMA ◽  
Yuta SAGAE ◽  
Kengo YAGYU ◽  
Hiroyuki ATARASHI ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Heterogeneous Network ◽  
Small Cells ◽  
Carrier Aggregation ◽  
Lte Advanced

scholarly journals Autonomous UAV Simulator for Research and Development Applied to 5G Networks

2021 ◽  
Author(s):  
Carlos Eduardo Dias Vinagre Neto ◽  
Ailton Pinto de Oliveira ◽  
Felipe Henrique Bastos e Bastos ◽  
Emerson Oliveira Junior ◽  
Aldebaro Klautau
Keyword(s):  
Performance Indicators ◽  
Communication Channel ◽  
Mobile Network ◽  
Network Capacity ◽  
Base Stations ◽  
5G Networks ◽  
Simulation Tools ◽  
Channel Evolution ◽  
Product Delivery ◽  
Intense Research

Unmanned aerial vehicles (UAVs) are being used in many applications,such as surveillance and product delivery. Currently, manyUAVs are controlled by WiFi or proprietary radio technologies.However, it is envisioned that 5G and beyond 5G (B5G) networkscan connect the UAVs and increase the overall security due to improvedcontrol by operators and governments. Soon, UAVs willalso be used as mobile radio base stations to extend reach or improvethe network capacity. All this motivates intense research on5G technologies for supporting UAV-based applications. However,there are currently few simulation tools for testing and investigatingtelecommunication systems that involve UAV solutions. Forinstance, modern 5G networks use multiple antennas that enablebeamforming. A realistic simulation, in this case, requires not onlysupport for beamforming but also for realistic UAV trajectories,which impact the communication channel evolution over time. Toevaluate scenarios with connected UAVs, this paper presents a toolthat simulates flights in a virtual environment, gathers informationabout the channels among UAVs and the mobile network, andcalculates performance indicators regarding the communicationsystem.

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