scholarly journals The impact of fading and interference cancelation on node density - Outage probability tradeoff in wireless networks

2009 ◽  
Author(s):  
Vladimir Mordachev ◽  
Sergey Loyka
Keyword(s):  
Wireless Networks ◽  
Outage Probability ◽  
Node Density ◽  
Interference Cancelation ◽  
The Impact

scholarly journals Impact of Wireless-Powered Communications in Coexisting Mobile Networks

2020 ◽  
Author(s):  
Luis Irio ◽  
Rodolfo Oliveira ◽  
Daniel B. da Costa ◽  
Mohamed-Slim Alouini
Keyword(s):  
Wireless Networks ◽  
Energy Harvesting ◽  
Outage Probability ◽  
Mobile Networks ◽  
Optimal Harvesting ◽  
Communication Performance ◽  
Mobile Wireless ◽  
Harvesting Process ◽  
The Impact

<pre>In this letter, we investigate the impact of wireless-powered communications when energy is harvested from multiple static and/or mobile wireless coexisting networks.</pre><pre>In a first step, we characterize the aggregate power received by a harvester node when it harnesses the energy generated by the coexisting wireless networks. Considering that the harvester node acts as a transmitter after the harvesting duration, we derive the outage probability for such coexisting scenario. In addition, the throughput achieved by the harvester node is also characterized, and the optimal harvesting duration is identified taking into account the mobility of the coexisting networks, the features of the static networks, the energy harvesting process, as well as the communication performance between the harvester node and the receiver. Our work shows that the distribution of the power received by the harvester from the coexisting networks can be accurately approximated by an $\alpha-\mu$ distribution. Moreover, the mobility also impacts on the optimal throughput of the wireless-powered communications, which is accurately confirmed by the proposed analysis and extensive simulations.</pre>

scholarly journals Impact of Wireless-Powered Communications in Coexisting Mobile Networks

2020 ◽  
Author(s):  
Luis Irio ◽  
Rodolfo Oliveira ◽  
Daniel B. da Costa ◽  
Mohamed-Slim Alouini
Keyword(s):  
Wireless Networks ◽  
Energy Harvesting ◽  
Outage Probability ◽  
Mobile Networks ◽  
Optimal Harvesting ◽  
Communication Performance ◽  
Mobile Wireless ◽  
Harvesting Process ◽  
The Impact

<pre>In this letter, we investigate the impact of wireless-powered communications when energy is harvested from multiple static and/or mobile wireless coexisting networks.</pre><pre>In a first step, we characterize the aggregate power received by a harvester node when it harnesses the energy generated by the coexisting wireless networks. Considering that the harvester node acts as a transmitter after the harvesting duration, we derive the outage probability for such coexisting scenario. In addition, the throughput achieved by the harvester node is also characterized, and the optimal harvesting duration is identified taking into account the mobility of the coexisting networks, the features of the static networks, the energy harvesting process, as well as the communication performance between the harvester node and the receiver. Our work shows that the distribution of the power received by the harvester from the coexisting networks can be accurately approximated by an $\alpha-\mu$ distribution. Moreover, the mobility also impacts on the optimal throughput of the wireless-powered communications, which is accurately confirmed by the proposed analysis and extensive simulations.</pre>

Network Throughput and Outage Analysis in a Poisson and Matérn Cluster based LTE-Advanced Small Cell Networks

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Outage Probability ◽  
Cell Formation ◽  
Access Network ◽  
Small Cell ◽  
Network Throughput ◽  
Base Stations ◽  
Small Cells ◽  
Network Cell ◽  
Lte Advanced ◽  
The Impact

<div>In LTE-A (LTE-Advanced), the access network cell formation is an integrated form of outdoor unit and indoor unit. With the indoor unit extension the access network becomes heterogeneous (HetNet). HetNet is a straightforward way to provide quality of service (QoS) in terms better network coverage and high data rate. Although, due to uncoordinated, densely deployed small cells large interference may occur, particularly in case of operating small cells within the spectrum of macro base stations (MBS). This paper probes the impact of small cell on the outage probability and the average network throughput enhancement. The positions of the small cells are retained random and modelled with homogeneous Poisson Point Process (PPP) and Matérn Cluster process (MCP). The paper provides an analytic form which permits to compute the outage probability, including the mostly applied fast fading channel types. Furthermore, simulations are evaluated in order to calculate the average network throughput for both random processes. Simulation results highlights that the network throughput remarkably grows due to small cell deployment.</div>

scholarly journals Unraveling the Impact of Users’ Interest on Information Dissemination in Wireless Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 32687-32699 ◽  
Author(s):  
Xiaoying Gan ◽  
Zhida Qin ◽  
Luoyi Fu ◽  
Xinbing Wang
Keyword(s):  
Wireless Networks ◽  
Information Dissemination ◽  
The Impact

On the Impact of Network Dynamics on a Discovery Protocol for Ad-Hoc Networks

2010 ◽  
pp. 1595-1613
Author(s):  
Fei Liu ◽  
Geert Heijenk
Keyword(s):  
Ad Hoc Networks ◽  
Linear Relation ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Network Dynamics ◽  
Bloom Filters ◽  
Context Information ◽  
Node Density ◽  
Hoc Networks ◽  
The Impact

A very promising approach to discovering services and context information in ad-hoc networks is based on the use of Attenuated Bloom filters. In this paper we analyze the impact of changes in the connectivity of an ad-hoc network on this approach. We evaluate the performance of the discovery protocol while nodes appear, disappear, and move, through analytical and simulative analysis. The analytical results are shown to be accurate when node density is high. We show that an almost linear relation exists between the density of the network and the number of update messages to be exchanged. Further, in case of nodes moving, the number of messages exchanged does not increase with the speed of movement.

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