TY - GEN
T1 - A Distributed Satisfactory Sleep Mode Scheme for Self-Organizing Heterogeneous Networks
AU - Arani, Atefeh Hajijamali
AU - Omidi, Mohammad Javad
AU - Mehbodniya, Abolfazl
AU - Adachi, Fumiyuki
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/25
Y1 - 2018/9/25
N2 - The next-generation cellular networks are expected to be enabled by heterogeneous networks (HetNets). In HetNets, macro cell base stations (MBSs) and small cell base stations (SBSs) coexist to boost the capacity and improve the energy efficiency. However, the dense deployment of base stations (BSs) can significantly increase the energy consumption of networks. In this regard, BS's ON/OFF switching (alternatively termed as sleep mode) approaches are considered as a pioneering technique to save the energy of the networks. In this paper, we formulate the ON/OFF switching problem as a noncooperative game in satisfaction form to minimize the energy consumption while maintaining the quality of service. To solve the game, each BS utilizes an exploration approach, in which the BS selects its transmission strategy based on its strategy selection frequency in a distributed manner. The probability assigned to each strategy corresponds to the inverse of the times the BS has chosen its strategy. In this approach, if the BS is satisfied (i.e. its observed utility no less than a certain threshold), it has no incentive to change its strategy, otherwise it selects its strategy according to its probability distribution. Furthermore, the proposed approach is a low complexity algorithm, in which it needs to update only one element in the vector of strategy selection frequency according to the selected strategy. Simulation results show that the proposed scheme yields significant performance gains up to about 37% and 52% in terms of average energy consumption and average utility, respectively, compared to the benchmark mechanisms.
AB - The next-generation cellular networks are expected to be enabled by heterogeneous networks (HetNets). In HetNets, macro cell base stations (MBSs) and small cell base stations (SBSs) coexist to boost the capacity and improve the energy efficiency. However, the dense deployment of base stations (BSs) can significantly increase the energy consumption of networks. In this regard, BS's ON/OFF switching (alternatively termed as sleep mode) approaches are considered as a pioneering technique to save the energy of the networks. In this paper, we formulate the ON/OFF switching problem as a noncooperative game in satisfaction form to minimize the energy consumption while maintaining the quality of service. To solve the game, each BS utilizes an exploration approach, in which the BS selects its transmission strategy based on its strategy selection frequency in a distributed manner. The probability assigned to each strategy corresponds to the inverse of the times the BS has chosen its strategy. In this approach, if the BS is satisfied (i.e. its observed utility no less than a certain threshold), it has no incentive to change its strategy, otherwise it selects its strategy according to its probability distribution. Furthermore, the proposed approach is a low complexity algorithm, in which it needs to update only one element in the vector of strategy selection frequency according to the selected strategy. Simulation results show that the proposed scheme yields significant performance gains up to about 37% and 52% in terms of average energy consumption and average utility, respectively, compared to the benchmark mechanisms.
KW - Energy Efficiency
KW - Heterogeneous Networks
KW - Learning Algorithm
KW - Satisfaction Algorithm
KW - Sleep Mode
UR - http://www.scopus.com/inward/record.url?scp=85055658702&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055658702&partnerID=8YFLogxK
U2 - 10.1109/ICEE.2018.8472421
DO - 10.1109/ICEE.2018.8472421
M3 - Conference contribution
AN - SCOPUS:85055658702
T3 - 26th Iranian Conference on Electrical Engineering, ICEE 2018
SP - 476
EP - 481
BT - 26th Iranian Conference on Electrical Engineering, ICEE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th Iranian Conference on Electrical Engineering, ICEE 2018
Y2 - 8 May 2018 through 10 May 2018
ER -