NDLI: An exact path-loss density model for mobiles in a cellular system

Please wait, while we are loading the content...

Protocol design and analysis of a HIP-based per-application mobility management platform

Minimizing end-to-end delay in global haha networks considering aeronautical scenarios

A cross-layer architecture for robust video streaming over multi-radio multi-channel wireless mesh networks

MeshScan: fast and efficient handoff in IEEE802.11 mesh networks

Performance increase through the use of multiple sub-carriers in WSN

Cellular automata based models of wireless sensor networks

The performance of multiple tcp flows with vertical handoff

Adaptive, direction-aware data dissemination for diverse sensor mobility

An efficient neighborhood prediction protocol to estimate link availability in VANETs

Delay-tolerant collaborative filtering

Traffic aware medium access control protocol for wireless sensor networks

Comparative analysis of proxy MIPv6 and fast MIPv6

Minimizing energy consumption vs maximizing network stability in mobile WiMAX

Blackbone2, an efficient deterministic algorithm for creating 2-connected m-dominating set-based backbones in ad hoc networks

Multi-operator cognitive radios sharing one channel

Probabilistic routing in on-body sensor networks with postural disconnections

The sociable traveller: human travelling patterns in social-based mobility

Performance analysis of gateway load balancing in ad hoc networks with random topologies

A distributed underlay channel assignment for cognitive cooperative ad hoc networks based on interference temperature

An exact path-loss density model for mobiles in a cellular system

Applying IKE/IPsec context transfer to aeronautical networks

A privacy-enabled architecture for an RFID-based location monitoring system

An exact path-loss density model for mobiles in a cellular system

Content Provider	ACM Digital Library
Author	Abdulla, Mouhamed Shayan, Yousef R.
Abstract	In trying to emulate the spatial position of wireless nodes for purpose of analysis, we rely on stochastic simulation. And, it is customary, for mobile systems, to consider a base-station radiation coverage by an ideal cell shape. For cellular analysis, a hexagon contour is always preferred mainly because of its tessellating nature. Despite this fact, largely due to its intrinsic simplicity, in literature only random dispersion model for a circular shape is known. However, if considered, this will result an unfair nodes density specifically at the edges of non-circular contours. As a result, in this paper, we showed the exact random number generation technique required for nodes scattering inside a hexagon. Next, motivated from a system channel perspective, we argued the need for the exhaustive random mobile dropping process, and hence derived a generic close-form expression for the path-loss distribution density between a base-station and a mobile. Last, simulation was used to reaffirm the validity of the theoretical analysis using values from the new IEEE 802.20 standard.
Starting Page	118
Ending Page	122
Page Count	5
File Format	PDF
ISBN	9781605586175
DOI	10.1145/1641776.1641797
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-10-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Spatial distribution Simulation Path-loss Stochastic modeling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An Exact Path-Loss Density Model for Mobiles in a Cellular System

A statistical model for the spatial distribution of mobiles and base stations

Developing stochastic models for spatial inference: bacterial chemotaxis (2009).

Building an inventory model for deteriorating items with stochastic demand and lead time using simulation modeling

Capacity distributions in spatial stochastic models for telecommunication networks (2009)

Capacity distributions in spatial stochastic models for telecommunication networks

A cellular sector-to-users path loss distribution model

Fault distribution modeling using stochastic bivariate models for prediction of voltage sag in distribution systems

Analyzing a stochastic inventory system for deteriorating items with stochastic lead time using simulation modeling

An exact path-loss density model for mobiles in a cellular system

Similar Documents

An Exact Path-Loss Density Model for Mobiles in a Cellular System

A statistical model for the spatial distribution of mobiles and base stations

Developing stochastic models for spatial inference: bacterial chemotaxis (2009).

Building an inventory model for deteriorating items with stochastic demand and lead time using simulation modeling

Capacity distributions in spatial stochastic models for telecommunication networks (2009)

Capacity distributions in spatial stochastic models for telecommunication networks

A cellular sector-to-users path loss distribution model

Fault distribution modeling using stochastic bivariate models for prediction of voltage sag in distribution systems

Analyzing a stochastic inventory system for deteriorating items with stochastic lead time using simulation modeling

An exact path-loss density model for mobiles in a cellular system