TY - GEN
T1 - Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks
AU - Zhou, Zhenyu
AU - Dong, Mianxiong
AU - Ota, Kaoru
AU - Wu, Jun
AU - Sato, Takuro
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/9
Y1 - 2014/2/9
N2 - The introduction of device-to-device (D2D) into cellular networks poses many new challenges in the resource allocation design due to the co-channel interference caused by spectrum reuse and limited battery life of user equipments (UEs). In this paper, we propose a distributed interference-aware energy-efficient resource allocation algorithm to maximize each UE's energy efficiency (EE) subject to its specific quality of service (QoS) and maximum transmission power constraints. We model the resource allocation problem as a noncooperative game, in which each player is self-interested and wants to maximize its own EE. The formulated EE maximization problem is a non-convex problem and is transformed into a convex optimization problem by exploiting the properties of the nonlinear fractional programming. An iterative optimization algorithm is proposed and verified through computer simulations.
AB - The introduction of device-to-device (D2D) into cellular networks poses many new challenges in the resource allocation design due to the co-channel interference caused by spectrum reuse and limited battery life of user equipments (UEs). In this paper, we propose a distributed interference-aware energy-efficient resource allocation algorithm to maximize each UE's energy efficiency (EE) subject to its specific quality of service (QoS) and maximum transmission power constraints. We model the resource allocation problem as a noncooperative game, in which each player is self-interested and wants to maximize its own EE. The formulated EE maximization problem is a non-convex problem and is transformed into a convex optimization problem by exploiting the properties of the nonlinear fractional programming. An iterative optimization algorithm is proposed and verified through computer simulations.
UR - http://www.scopus.com/inward/record.url?scp=84988290607&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988290607&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2014.7037509
DO - 10.1109/GLOCOM.2014.7037509
M3 - Conference contribution
AN - SCOPUS:84988290607
T3 - 2014 IEEE Global Communications Conference, GLOBECOM 2014
SP - 4454
EP - 4459
BT - 2014 IEEE Global Communications Conference, GLOBECOM 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Global Communications Conference, GLOBECOM 2014
Y2 - 8 December 2014 through 12 December 2014
ER -
