TY - GEN
T1 - Stackelberg-game based distributed energy-aware resource allocation in device-to-device communications
AU - Zhou, Zhenyu
AU - Dong, Mianxiong
AU - Ota, Kaoru
AU - Gu, Bo
AU - Sato, Takuro
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/27
Y1 - 2014/1/27
N2 - Despite the numerous benefits brought by device-to-device (D2D) communications, user equipments (UEs) are typically handheld devices with limited battery life and can quickly run out of battery if power consumption is ignored in the system design. Compared to previous works that have not taken power consumption into consideration, we model the utility function as a weighted sum of achievable transmission rate, power consumption, and interference revenue (or cost) based on multi-objective optimization (MOO) methods. The resource allocation process is modeled as a two-stage Stackelberg game with transmission power and quality of service (QoS) constraints, in which cellular UEs are game leaders who charges D2D UEs for reusing channels, and D2D UEs are game followers who buy channel resources from cellular UEs. Simulation results show the effectiveness of the proposed algorithm and how the system parameters affect the pricing and transmission power strategies.
AB - Despite the numerous benefits brought by device-to-device (D2D) communications, user equipments (UEs) are typically handheld devices with limited battery life and can quickly run out of battery if power consumption is ignored in the system design. Compared to previous works that have not taken power consumption into consideration, we model the utility function as a weighted sum of achievable transmission rate, power consumption, and interference revenue (or cost) based on multi-objective optimization (MOO) methods. The resource allocation process is modeled as a two-stage Stackelberg game with transmission power and quality of service (QoS) constraints, in which cellular UEs are game leaders who charges D2D UEs for reusing channels, and D2D UEs are game followers who buy channel resources from cellular UEs. Simulation results show the effectiveness of the proposed algorithm and how the system parameters affect the pricing and transmission power strategies.
UR - http://www.scopus.com/inward/record.url?scp=84946685167&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946685167&partnerID=8YFLogxK
U2 - 10.1109/ICCS.2014.7024756
DO - 10.1109/ICCS.2014.7024756
M3 - Conference contribution
AN - SCOPUS:84946685167
T3 - 2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
SP - 11
EP - 15
BT - 2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
Y2 - 19 November 2014 through 21 November 2014
ER -