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Resource Allocation for Uplink M2M Communication: A Game Theory Approach

Machine-to-Machine (M2M) communication in cellular network is the driver for the future Internet of Things (IoT). The main challenge of M2M communication is the possibility of huge traffic in the uplink network that can cause problem in the network. This paper considers the problem of resource...

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Main Authors: Hashim, Safdar, Norsheila, Fisal, Rahat, Ullah, Wajahat, Maqbool, Faiz, Asraf, Zubair, Khalid, Adnan, Shahid Khan
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/11297/1/Resource%20Allocation%20for%20Uplink%20M2M%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/11297/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6688815&tag=1
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spelling my.unimas.ir.112972016-04-07T07:11:48Z http://ir.unimas.my/id/eprint/11297/ Resource Allocation for Uplink M2M Communication: A Game Theory Approach Hashim, Safdar Norsheila, Fisal Rahat, Ullah Wajahat, Maqbool Faiz, Asraf Zubair, Khalid Adnan, Shahid Khan T Technology (General) Machine-to-Machine (M2M) communication in cellular network is the driver for the future Internet of Things (IoT). The main challenge of M2M communication is the possibility of huge traffic in the uplink network that can cause problem in the network. This paper considers the problem of resource allocation among machines connecting in uplink to different femto base stations (FBSs). Resource allocation problem is analyzed through both non-cooperative and cooperative game to maximize their data rate and minimize utilization of power. Numerical result shows that by adapting non-cooperative game, all machines are getting data rate as per Nash Equilibrium (NE) or either they can set their strategy to maximize their data rate selfishly. On the other hand for coalitional game theory approach machines who participate in game are getting fair resource allocations. 2013 Conference or Workshop Item PeerReviewed text en http://ir.unimas.my/id/eprint/11297/1/Resource%20Allocation%20for%20Uplink%20M2M%20%28abstract%29.pdf Hashim, Safdar and Norsheila, Fisal and Rahat, Ullah and Wajahat, Maqbool and Faiz, Asraf and Zubair, Khalid and Adnan, Shahid Khan (2013) Resource Allocation for Uplink M2M Communication: A Game Theory Approach. In: 2013 IEEE Symposium on Wireless Technology and Applications (ISWTA), 22-25 Sept. 2013, Kuching. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6688815&tag=1
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Hashim, Safdar
Norsheila, Fisal
Rahat, Ullah
Wajahat, Maqbool
Faiz, Asraf
Zubair, Khalid
Adnan, Shahid Khan
Resource Allocation for Uplink M2M Communication: A Game Theory Approach
description Machine-to-Machine (M2M) communication in cellular network is the driver for the future Internet of Things (IoT). The main challenge of M2M communication is the possibility of huge traffic in the uplink network that can cause problem in the network. This paper considers the problem of resource allocation among machines connecting in uplink to different femto base stations (FBSs). Resource allocation problem is analyzed through both non-cooperative and cooperative game to maximize their data rate and minimize utilization of power. Numerical result shows that by adapting non-cooperative game, all machines are getting data rate as per Nash Equilibrium (NE) or either they can set their strategy to maximize their data rate selfishly. On the other hand for coalitional game theory approach machines who participate in game are getting fair resource allocations.
format Conference or Workshop Item
author Hashim, Safdar
Norsheila, Fisal
Rahat, Ullah
Wajahat, Maqbool
Faiz, Asraf
Zubair, Khalid
Adnan, Shahid Khan
author_facet Hashim, Safdar
Norsheila, Fisal
Rahat, Ullah
Wajahat, Maqbool
Faiz, Asraf
Zubair, Khalid
Adnan, Shahid Khan
author_sort Hashim, Safdar
title Resource Allocation for Uplink M2M Communication: A Game Theory Approach
title_short Resource Allocation for Uplink M2M Communication: A Game Theory Approach
title_full Resource Allocation for Uplink M2M Communication: A Game Theory Approach
title_fullStr Resource Allocation for Uplink M2M Communication: A Game Theory Approach
title_full_unstemmed Resource Allocation for Uplink M2M Communication: A Game Theory Approach
title_sort resource allocation for uplink m2m communication: a game theory approach
publishDate 2013
url http://ir.unimas.my/id/eprint/11297/1/Resource%20Allocation%20for%20Uplink%20M2M%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/11297/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6688815&tag=1
_version_ 1644511181153501184
score 13.211869

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