scholarly journals Evaluation of Compact Boundary of Outage Probability in HetNet

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Senlin Jiang ◽  
Jiamei Zhang
Keyword(s):  
Ad Hoc Networks ◽  
Outage Probability ◽  
Ad Hoc ◽  
Near Field ◽  
Path Loss ◽  
Signal Interference ◽  
Interference Signal ◽  
Power Intensity ◽  
Hoc Networks ◽  
Field Area

In this paper, we investigate the outage probability of per-tier in heterogeneous networks (HetNet) in the presence of aggregated interference from coexisting ad hoc networks. In ad hoc networks, a receiving node suffers the cross-tier interference signal from cellular cell and aggregated interference signal from other transmitting nodes. In order to evaluate the effect of cross-tier interference on the outage probability of ad hoc networks, we analyze the restricted region in cellular cell that the received signal interference noise ratio (SINR) of a receiving node does not exceed the SINR threshold considering the path loss model. Further, to evaluate the effect of aggregated interference of ad hoc networks, we divide the plane area into near-field area and far-field area according to whether the signal of a transmitting node could cause an outage independently or not. Based on this division, we derive the compact lower and upper boundaries of outage probability of per-tier. The computer simulations validate the results of theoretical analysis and show the effect of different factors, such as transmit power, intensity of ad hoc nodes, on the outage probability.

scholarly journals Minimizing The Number of Channel Switches of Mobile Users in Cognitive Radio Ad-Hoc Networks

2020 ◽  
Vol 9 (2) ◽  
pp. 23 ◽  
Author(s):  
Rajorshi Biswas ◽  
Jie Wu
Keyword(s):  
Cognitive Radio ◽  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Path Loss ◽  
Access Point ◽  
Primary User ◽  
Mobile Users ◽  
Mobility Patterns ◽  
Current Channel ◽  
Hoc Networks

Cognitive radio (CR) technology is envisioned to use wireless spectrum opportunistically when the primary user (PU) is not using it. In cognitive radio ad-hoc networks (CRAHNs), the mobile users form a distributed multi-hop network using the unused spectrum. The qualities of the channels are different in different locations. When a user moves from one place to another, it needs to switch the channel to maintain the quality-of-service (QoS) required by different applications. The QoS of a channel depends on the amount of usage. A user can select the channels that meet the QoS requirement during its movement. In this paper, we study the mobility patterns of users, predict their next locations and probabilities to move there based on its history. We extract the mobility patterns from each user’s location history and match the recent trajectory with the patterns to find future locations. We construct a spectrum database using Wi-Fi access point location data and the free space path loss formula. We propose a machine learning-based mechanism to predict spectrum status of some missing locations in the spectrum database. We formulate a problem to select the current channel in order to minimize the total number of channel switches during a certain number of next moves of a user. We conduct an extensive simulation combining real and synthetic datasets to support our model.

scholarly journals Topographical Automation of MANET using Reactive Routing Protocols

2011 ◽  
pp. 275-280
Author(s):  
Manas Ranjan Mishra ◽  
Mohit Ranjan Panda ◽  
Sukant Kishoro Bisoyi
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Path Loss ◽  
Communication Link ◽  
Time Data ◽  
Dynamic Stochastic ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Wireless mobile ad-hoc networks (MANET) are characterized as infrastructure less networks. Topologies are formed with movement of regular nodes which has multi radio links and these regular nodes under demand behaves as backbone node (router) to forward packets across the network. These networks suffer frequent topology changes due to the dynamic stochastic process behavior of incoming nodes. Mobile ad-hoc networks lack load balancing that causes unnecessary packet loss and route break up in real-time data transmission. Area of operation, interference, and communication link range and path loss are the factors to affect the throughput of MANET. In this paper we evaluated the performance of AODV and DSR routing protocols which are enhanced by an Automation Topography, In our proposed Topographical Automation the location of incoming nodes are completely random and those will be confined themselves within a certain communication range such that the throughput is enhanced to meet better QoS level. As location of the nodes are system defined and quite automatic, nodes before being forwarded with the full assurance of successful session flows. It is often advantageous to position stable and capable relay nodes, including unmanned ground vehicles (UGVs) or unmanned aerial vehicles (UAVs), and unmanned under sea vehicles (UUVs) used by Defense to save cost as well as life.

scholarly journals Outage Probability of General Ad Hoc Networks in the High-Reliability Regime

2011 ◽  
Vol 19 (4) ◽  
pp. 1151-1163 ◽  
Author(s):  
Riccardo Giacomelli ◽  
Radha Krishna Ganti ◽  
Martin Haenggi
Keyword(s):  
Ad Hoc Networks ◽  
Outage Probability ◽  
Ad Hoc ◽  
High Reliability ◽  
Hoc Networks
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