TY - JOUR
T1 - Enabling Green Wireless Networking With Device-to-Device Links
T2 - A Joint Optimization Approach
AU - Gao, Chenfei
AU - Tang, Jian
AU - Sheng, Xiang
AU - Zhang, Weiyi
AU - Zou, Shihong
AU - Guizani, Mohsen
N1 - Funding Information:
This work was supported by the NSF Grant CNS-1443966 and Grant CNS-1113398. A shorter version of this paper titled "Joint Mode Selection, Channel Allocation, and Power Assignment for Green Device-to-Device Communications" was presented at the IEEE ICC'2014. The information reported here does not reflect the position or the policy of the federal government.
PY - 2016/4
Y1 - 2016/4
N2 - Device-to-device (D2D) communication has emerged as a promising technique for improving capacity and reducing power consumption in wireless networks. Most existing works on D2D communications either targeted CDMA-based single-channel networks or aimed at maximizing network throughput. In this paper, we, however, aim to enable green D2D communications in OFDMA-based wireless networks. We formally define an optimization problem based on a practical link data rate model, whose objective is to minimize total power consumption while meeting user data rate requirements. We propose solving it using a joint optimization approach by presenting two effective and efficient algorithms, which both jointly determines mode selection, channel allocation and power assignment. It has been shown by extensive simulation results that the proposed algorithms can achieve over 68% power savings, compared to several baseline methods.
AB - Device-to-device (D2D) communication has emerged as a promising technique for improving capacity and reducing power consumption in wireless networks. Most existing works on D2D communications either targeted CDMA-based single-channel networks or aimed at maximizing network throughput. In this paper, we, however, aim to enable green D2D communications in OFDMA-based wireless networks. We formally define an optimization problem based on a practical link data rate model, whose objective is to minimize total power consumption while meeting user data rate requirements. We propose solving it using a joint optimization approach by presenting two effective and efficient algorithms, which both jointly determines mode selection, channel allocation and power assignment. It has been shown by extensive simulation results that the proposed algorithms can achieve over 68% power savings, compared to several baseline methods.
KW - D2D
KW - Green wireless networking
KW - joint optimization
KW - mode selection
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U2 - 10.1109/TWC.2015.2509987
DO - 10.1109/TWC.2015.2509987
M3 - Article
AN - SCOPUS:84963807219
SN - 1536-1276
VL - 15
SP - 2770
EP - 2779
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 4
M1 - 7360240
ER -