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: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| 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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| Summary: | 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. |
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