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...
| Main Authors: | , , , , , , |
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| Format: | Proceeding |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/11297/ http://ir.unimas.my/id/eprint/11297/1/Resource%20Allocation%20for%20Uplink%20M2M%20%28abstract%29.pdf |
| _version_ | 1848836980193886208 |
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| 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 |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T06:32:23Z |
| format | Proceeding |
| id | unimas-11297 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:32:23Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-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 Proceeding 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 |
| 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 |
| title | 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_short | Resource Allocation for Uplink M2M Communication: A Game Theory Approach |
| title_sort | resource allocation for uplink m2m communication: a game theory approach |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/11297/ http://ir.unimas.my/id/eprint/11297/ http://ir.unimas.my/id/eprint/11297/1/Resource%20Allocation%20for%20Uplink%20M2M%20%28abstract%29.pdf |