scholarly journals Network Optimization Using Femtocell Deployment at Macrocell Edge in Cognitive Environment

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Wall Structure ◽  
Matlab Simulation ◽  
Femtocell Networks ◽  
Single Input Single Output ◽  
Cell Edge ◽  
Single Output ◽  
Macro Cell ◽  
Performance Metric ◽  
Cognitive Environment

<div>This research focuses on the problem of cell edge user’s coverage in the context of femtocell networks operating within the locality of macrocell border where pathloss, shadowing, Rayleigh fading have been included into the environment. As macro cell edge users are located far-away from the macro base station (MBS), so that, the underprivileged users (cell edge users) get assisted by the cognitive-femto base station (FBS) to provide consistent quality of service (QoS). Considering various environment factors such as wall structure, number of walls, distance between MBS and users, interference effect (i.e., co-tier and cross-tier), we compute downlink (DL) throughput of femto user (FU) for single input single output (SISO) system over a particular sub-channel, but also based on spectrum allocation and power adaptation, performance</div><div>of two tier network is analyzed considering network coverage as the performance metric. Finally, the effectiveness of the scheme is verified by extensive matlab simulation.</div>

scholarly journals Network Optimization Using Femtocell Deployment at Macrocell Edge in Cognitive Environment

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Wall Structure ◽  
Matlab Simulation ◽  
Femtocell Networks ◽  
Single Input Single Output ◽  
Cell Edge ◽  
Single Output ◽  
Macro Cell ◽  
Performance Metric ◽  
Cognitive Environment

<div>This research focuses on the problem of cell edge user’s coverage in the context of femtocell networks operating within the locality of macrocell border where pathloss, shadowing, Rayleigh fading have been included into the environment. As macro cell edge users are located far-away from the macro base station (MBS), so that, the underprivileged users (cell edge users) get assisted by the cognitive-femto base station (FBS) to provide consistent quality of service (QoS). Considering various environment factors such as wall structure, number of walls, distance between MBS and users, interference effect (i.e., co-tier and cross-tier), we compute downlink (DL) throughput of femto user (FU) for single input single output (SISO) system over a particular sub-channel, but also based on spectrum allocation and power adaptation, performance</div><div>of two tier network is analyzed considering network coverage as the performance metric. Finally, the effectiveness of the scheme is verified by extensive matlab simulation.</div>

scholarly journals Performance Improvement of Outage Users at Cell Edges Through Cognitive-Femtocell Deployment Over Macrocell Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Wall Structure ◽  
Femtocell Networks ◽  
Long Distance ◽  
Single Input Single Output ◽  
Cell Edge ◽  
Single Output ◽  
Macro Cell ◽  
User Coverage ◽  
Single Input

<div>This research focuses on the problem of cell edge user coverage in the context of femtocell networks operating within the locality of macrocell border. The macro cell-edge users get assisted by the cognitive-femto base station (FBS) to receive a consistent quality of service (QoS) because of their long distance from the macro base station (MBS). Considering various environment factors such as wall structure, number of walls, distance between macrocell and users, interference effect (i.e., co-tier and cross-tier), we compute not only the overall outage probability of single input single output (SISO) system and single input multiple output (SIMO) system users but also based on subcarrier and power allocation the performance of the two tier network is analysed with macrocell throughput as the performance metric. Finally, the effectiveness of the scheme is verified by extensive matlab simulation.</div>

scholarly journals Performance Improvement of Outage Users at Cell Edges Through Cognitive-Femtocell Deployment Over Macrocell Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Wall Structure ◽  
Femtocell Networks ◽  
Long Distance ◽  
Single Input Single Output ◽  
Cell Edge ◽  
Single Output ◽  
Macro Cell ◽  
User Coverage ◽  
Single Input

<div>This research focuses on the problem of cell edge user coverage in the context of femtocell networks operating within the locality of macrocell border. The macro cell-edge users get assisted by the cognitive-femto base station (FBS) to receive a consistent quality of service (QoS) because of their long distance from the macro base station (MBS). Considering various environment factors such as wall structure, number of walls, distance between macrocell and users, interference effect (i.e., co-tier and cross-tier), we compute not only the overall outage probability of single input single output (SISO) system and single input multiple output (SIMO) system users but also based on subcarrier and power allocation the performance of the two tier network is analysed with macrocell throughput as the performance metric. Finally, the effectiveness of the scheme is verified by extensive matlab simulation.</div>

scholarly journals Cognitive-Femtocell Based Resource Allocation in Macrocell Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Base Stations ◽  
Network Coverage ◽  
Femtocell Networks ◽  
Single Input Single Output ◽  
Single Output ◽  
Efficiency Measures ◽  
Input Multiple Output ◽  
Single Input ◽  
Cognitive Femtocell

<div>In this paper, we articulate the network coverage issues for both Femto Users (FUs) and Macro Users (MUs) located at cell edges. The cognitive-femtocell networks functioning under the vicinity of a macrocell frontier where the parameters such as pathloss, shadowing, Rayleigh fading have considered into the system model. The users, located at network border are positioned far apart from the Macro Base Station (MBS). This can be treated as the underprivileged users. The underprivileged users are to be facilitated by the femto cell base stations to provide uninterrupted QoS. We present on the overall outage probability of Single Input single Output (SISO) users and Single Input Multiple Output (SIMO) users, respectively, by taking several circumstantial components such as such as probability density function (PDF), location gap between base stations (BSs) and users, intra-tier interference and inter-tier interference into account. Further, evaluation has been extended by considering network throughput as the efficiency measures based on the sub-carrier and the power allotment in the dual tier network.</div>

scholarly journals Cognitive-Femtocell Based Resource Allocation in Macrocell Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Base Stations ◽  
Network Coverage ◽  
Femtocell Networks ◽  
Single Input Single Output ◽  
Single Output ◽  
Efficiency Measures ◽  
Input Multiple Output ◽  
Single Input ◽  
Cognitive Femtocell

<div>In this paper, we articulate the network coverage issues for both Femto Users (FUs) and Macro Users (MUs) located at cell edges. The cognitive-femtocell networks functioning under the vicinity of a macrocell frontier where the parameters such as pathloss, shadowing, Rayleigh fading have considered into the system model. The users, located at network border are positioned far apart from the Macro Base Station (MBS). This can be treated as the underprivileged users. The underprivileged users are to be facilitated by the femto cell base stations to provide uninterrupted QoS. We present on the overall outage probability of Single Input single Output (SISO) users and Single Input Multiple Output (SIMO) users, respectively, by taking several circumstantial components such as such as probability density function (PDF), location gap between base stations (BSs) and users, intra-tier interference and inter-tier interference into account. Further, evaluation has been extended by considering network throughput as the efficiency measures based on the sub-carrier and the power allotment in the dual tier network.</div>

scholarly journals A Wideband Channel Model for Intravehicular Nomadic Systems

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
François Bellens ◽  
François Quitin ◽  
Jean-Michel Dricot ◽  
François Horlin ◽  
Aziz Benlarbi-Delaï ◽  
...  
Keyword(s):  
Channel Model ◽  
Temporal Variations ◽  
Rear Seat ◽  
Base Station ◽  
Ultra Wideband ◽  
Personal Area Networks ◽  
Vehicular Communication ◽  
Single Input Single Output ◽  
Single Output ◽  
Data Rates

The increase in electronic entertainment equipments within vehicles has rendered the idea of replacing the wired links with intra-vehicle personal area networks. Ultra-wideband (UWB) seems an appropriate candidate technology to meet the required data rates for interconnecting such devices. In particular, the multiband OFDM (MB-OFDM) is able to provide very high transfer rates (up to 480 MBps) over relatively short distances and low transmit power. In order to evaluate the performances of UWB systems within vehicles, a reliable channel model is needed. In this paper, a nomadic system where a base station placed in the center of the dashboard wants to communicate with fixed devices placed at the rear seat is investigated. A single-input single-output (SISO) channel model for intra-vehicular communication (IVC) systems is proposed, based on reverberation chamber theory. The model is based on measurements conducted in real traffic conditions, with a varying number of passengers in the car. Temporal variations of the wireless channels are also characterized and parametrized. The proposed model is validated by comparing model-independent statistics with the measurements.

scholarly journals Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System

2018 ◽  
Vol 14 (1) ◽  
pp. 145-155
Author(s):  
Ekhlas H. Karam ◽  
Ayam M Abbass ◽  
Noor S. Abdul-Jaleel
Keyword(s):  
Fuzzy Controller ◽  
Nonlinear Function ◽  
Matlab Simulation ◽  
Single Node ◽  
Differential Model ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input ◽  
Robotic Leg ◽  
Neural Fuzzy

 In this paper, the human robotic leg which can be represented mathematically by single input-single output (SISO) nonlinear differential model with one degree of freedom, is analyzed and then a simple hybrid neural fuzzy controller is designed to improve the performance of this human robotic leg model. This controller consists from SISO fuzzy proportional derivative (FPD) controller with nine rules summing with single node neural integral derivative (NID) controller with nonlinear function. The Matlab simulation results for nonlinear robotic leg model with the suggested controller showed that the efficiency of this controller when compared with the results of the leg model that is controlled by PI+2D, PD+NID, and FPD-ID controllers.

scholarly journals Improving Energy Efficiency of Cooperative Femtocell Networks via Base Station Switching Off

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Woongsup Lee ◽  
Bang Chul Jung
Keyword(s):  
Energy Efficiency ◽  
Mobile Station ◽  
Base Station ◽  
Cooperative Transmission ◽  
Base Stations ◽  
Femtocell Networks ◽  
Coordinated Multipoint ◽  
Performance Metric ◽  
Bs Switching ◽  
Optimal Set

Recently, energy efficiency (EE) of cellular networks has become an important performance metric, and several techniques have been proposed to increase the EE. Among them, turning off base stations (BSs) when not needed is considered as one of the most powerful techniques due to its simple operation and effectiveness. Herein, we propose a novel BS switching-off technique for cooperative femtocell networks where multiple femtocell BSs (FBSs) simultaneously send packets to the same mobile station (MS). Unlike conventional schemes, cooperative operation of FBSs, also known as coordinated multipoint (CoMP) transmission, is considered to determine which BSs are turned off in the proposed technique. We first formulate the optimization problem to find the optimal set of FBSs to be turned off. Then, we propose a suboptimal scheme operating in a distributed manner in order to reduce the computational complexity of the optimal scheme. The suboptimal scheme is based on throughput ratio (TR) which specifies the importance of a particular FBS for the cooperative transmission. Through simulations, we show that the energy consumption can be greatly reduced with the proposed technique, compared with conventional schemes. Moreover, we show that the suboptimal scheme also achieves the near-optimal performance even without the excessive computations.

scholarly journals Inter-cell Interference Management Technique for Multi-Cell LTE-A Network

2017 ◽  
Vol 7 (5) ◽  
pp. 2696
Author(s):  
Iskandar Iskandar ◽  
I. Setyawan ◽  
H. Nuraini
Keyword(s):  
Interference Management ◽  
High Capacity ◽  
Frequency Reuse ◽  
Spectrum Efficiency ◽  
Management Technique ◽  
Single Input Single Output ◽  
Downlink Transmission ◽  
Cell Edge ◽  
Single Output ◽  
Inter Cell Interference

In modern cellular system such as LTE Advanced (LTE-A), frequency reuse scheme is targeted to be applied to fulfill the requirement of high capacity broadband access and high spectrum efficiency. But this kind of frequency planning may lead to the worse inter-cell interference (ICI) level experienced especially by a user located at the cell edge. Soft Frequency Reuse (SFR) is considered as an effective way to mitigate inter-cell interference and maintain capacity. We propose a power division SFR, known as multi level SFR technique to minimize ICI in a designed LTE-A network for sub-urban environment. Service area of LTE-A network was first developed to deploy particular number of eNB by using LTE network planning tools in the frequency of 1800 MHz with the use of SISO (Single Input Single Output) antennas. Coverage dimensioning and propagation consideration determine LTE-A parameters which were used in the simulation. Monte carlo simulation is executed to examine the performance of SFR for LTE-A downlink transmission to address different power ratio and traffic loads problem. Both performance of cell edge users and overall cell performance are evaluated in terms of CINR, BLER, and throughput. Performance with SFR is also compared with the classical frequency reuse one and three.

A Dynamic Cell Range Expansion for LTE-Advanced Heterogeneous Networks

2013 ◽  
Vol 397-400 ◽  
pp. 1954-1957
Author(s):  
Meng Fan Dai ◽  
Qing Yang Song ◽  
Zhao Long Ning
Keyword(s):  
Range Expansion ◽  
Network Performance ◽  
Base Station ◽  
System Capacity ◽  
Cell Range Expansion ◽  
Cell Edge ◽  
Macro Cell ◽  
Cell Range ◽  
Dynamic Cell ◽  
Cell Base

Deploying Pico cell Base Station (PBS) throughout a Macro cell layout is a promising solution to enhance system capacity and users throughput. However, the strong received power from Macro cell Base Station (MBS) makes the Pico cell areas narrow and limits cell splitting gain. Range Expansion (RE) is desirable to balance the network load between MBS and PBS by expanding the coverage, which subsequently increases cell splitting gains. However, more interference may be introduced if the bias value of RE is not set properly. In this paper, we propose a Dynamic Cell Range Expansion (DCRE) strategy that the bias value of RE is set dynamically according to the change of network environment. The proposed scheme aims to fulfill the resources utilization by RE scheme, and meanwhile improve the users performance of cell edge through cell load balancing method. Simulation results show that DCRE scheme can improve the network performance of cell edge, and increase the cell capacity and users throughput compared with the existing methods.

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