Abstract
In this paper, we propose a power control algorithm dedicated for machine type communications (MTC) in future non-orthogonal multiple access (NOMA) networks employing game theory. In MTC networks, communication reliability should be considered prior to power consumption or energy efficiency. Once the reliability is satisfied, discussions about power consumption makes sense. We build a cost function for each device based on a non-cooperative game model. The cost function reflects the power consumption as well as received signal-to-interference plus noise ratio (SINR) of each device. Since we assume the devices are battery-driven, the objective is to minimize the power consumption as much as possible provided that the received SINR of each device is kept beyond an acceptable level so that the reliability can be guaranteed. We derive the power control algorithm function and prove the convergence of this iteration algorithm and the unique existence of Nash equilibrium as well. The simulation results show that under the same constraints of maximum power consumption and minimum acceptable SINR, the proposed algorithm outperforms the conventional algorithms in terms of power consumption and power efficiency.
| Original language | English |
|---|---|
| Title of host publication | 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 203-208 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509061969 |
| DOIs | |
| Publication status | Published - 2017 Jul 17 |
| Event | 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 - Las Vegas, United States Duration: 2017 Jan 8 → 2017 Jan 11 |
Other
| Other | 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 17/1/8 → 17/1/11 |
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Keywords
- Game theory
- Iteration algorithm
- Machine type communication
- Non-orthogonal multiple access
- Power control
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Communication
Cite this
A game theory based power control algorithm for future MTC NOMA networks. / Kang, Kang; Pan, Zhenni; Liu, Jiang; Shimamoto, Shigeru.
2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 203-208 7983106.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A game theory based power control algorithm for future MTC NOMA networks
AU - Kang, Kang
AU - Pan, Zhenni
AU - Liu, Jiang
AU - Shimamoto, Shigeru
PY - 2017/7/17
Y1 - 2017/7/17
N2 - In this paper, we propose a power control algorithm dedicated for machine type communications (MTC) in future non-orthogonal multiple access (NOMA) networks employing game theory. In MTC networks, communication reliability should be considered prior to power consumption or energy efficiency. Once the reliability is satisfied, discussions about power consumption makes sense. We build a cost function for each device based on a non-cooperative game model. The cost function reflects the power consumption as well as received signal-to-interference plus noise ratio (SINR) of each device. Since we assume the devices are battery-driven, the objective is to minimize the power consumption as much as possible provided that the received SINR of each device is kept beyond an acceptable level so that the reliability can be guaranteed. We derive the power control algorithm function and prove the convergence of this iteration algorithm and the unique existence of Nash equilibrium as well. The simulation results show that under the same constraints of maximum power consumption and minimum acceptable SINR, the proposed algorithm outperforms the conventional algorithms in terms of power consumption and power efficiency.
AB - In this paper, we propose a power control algorithm dedicated for machine type communications (MTC) in future non-orthogonal multiple access (NOMA) networks employing game theory. In MTC networks, communication reliability should be considered prior to power consumption or energy efficiency. Once the reliability is satisfied, discussions about power consumption makes sense. We build a cost function for each device based on a non-cooperative game model. The cost function reflects the power consumption as well as received signal-to-interference plus noise ratio (SINR) of each device. Since we assume the devices are battery-driven, the objective is to minimize the power consumption as much as possible provided that the received SINR of each device is kept beyond an acceptable level so that the reliability can be guaranteed. We derive the power control algorithm function and prove the convergence of this iteration algorithm and the unique existence of Nash equilibrium as well. The simulation results show that under the same constraints of maximum power consumption and minimum acceptable SINR, the proposed algorithm outperforms the conventional algorithms in terms of power consumption and power efficiency.
KW - Game theory
KW - Iteration algorithm
KW - Machine type communication
KW - Non-orthogonal multiple access
KW - Power control
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UR - http://www.scopus.com/inward/citedby.url?scp=85027411337&partnerID=8YFLogxK
U2 - 10.1109/CCNC.2017.7983106
DO - 10.1109/CCNC.2017.7983106
M3 - Conference contribution
SP - 203
EP - 208
BT - 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -