Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks

Zhenyu Zhou; Mianxiong Dong; Kaoru Ota; Jun Wu; Takuro Sato

doi:10.1109/GLOCOM.2014.7037509

Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks

Zhenyu Zhou, Mianxiong Dong, Kaoru Ota, Jun Wu, Takuro Sato

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

38 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2014 IEEE Global Communications Conference, GLOBECOM 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4454-4459
Number of pages	6
ISBN (Electronic)	9781479935116
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037509
Publication status	Published - 2014 Feb 9
Event	2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States Duration: 2014 Dec 8 → 2014 Dec 12

Other

Other	2014 IEEE Global Communications Conference, GLOBECOM 2014
Country	United States
City	Austin
Period	14/12/8 → 14/12/12

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Networks and Communications
Communication

Access to Document

10.1109/GLOCOM.2014.7037509

Fingerprint Dive into the research topics of 'Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks'. Together they form a unique fingerprint.

Cite this

Zhou, Z., Dong, M., Ota, K., Wu, J., & Sato, T. (2014). Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. In 2014 IEEE Global Communications Conference, GLOBECOM 2014 (pp. 4454-4459). [7037509] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7037509

Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. / Zhou, Zhenyu; Dong, Mianxiong; Ota, Kaoru; Wu, Jun; Sato, Takuro.

2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 4454-4459 7037509.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhou, Z, Dong, M, Ota, K, Wu, J & Sato, T 2014, Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. in 2014 IEEE Global Communications Conference, GLOBECOM 2014., 7037509, Institute of Electrical and Electronics Engineers Inc., pp. 4454-4459, 2014 IEEE Global Communications Conference, GLOBECOM 2014, Austin, United States, 14/12/8. https://doi.org/10.1109/GLOCOM.2014.7037509

@inproceedings{64dd7d9f9eb940ae8077fee2eae9e401,

title = "Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks",

abstract = "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.",

author = "Zhenyu Zhou and Mianxiong Dong and Kaoru Ota and Jun Wu and Takuro Sato",

year = "2014",

month = feb,

day = "9",

doi = "10.1109/GLOCOM.2014.7037509",

language = "English",

pages = "4454--4459",

booktitle = "2014 IEEE Global Communications Conference, GLOBECOM 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2014 IEEE Global Communications Conference, GLOBECOM 2014 ; Conference date: 08-12-2014 Through 12-12-2014",

}

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

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

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 -