SERS: Social-Aware Energy-Efficient Relay Selection in D2D Communications

被引:49
作者
Li, Yu [1 ,2 ]
Zhang, Zufan [1 ]
Wang, Honggang [2 ]
Yang, Qing [3 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 40065, Peoples R China
[2] Univ Massachusetts, Dept Elect & Comp Engn, Dartmouth, MA 02747 USA
[3] Univ North Texas, Dept Comp Sci & Engn, Denton, TX 76203 USA
基金
美国国家科学基金会; 国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
Social networks; social trust; social distance; power game theory; cooperative communications; D2D communications; RESOURCE-ALLOCATION; NETWORKS;
D O I
10.1109/TVT.2018.2810162
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The explosion of mobile applications and phenomenal adoption of mobile connectivity by end users have generated increasing amounts of mobile data traffic. Recognizing the need of increasing network capacity, cooperative device-to-device (D2D) communications and efficient power allocation have been proposed to address the imperative problem. Existing works mainly focus on relay selection and power control at physical layer. The social connections between mobile users, however, are omitted in consideration of improving the cooperative D2D communication quality. Leveraging social trust, we propose an innovative social-aware energy-efficient relay selection (SERS) mechanism that considers the hidden social ties among mobile users to ensure that more users are willing to participate in the cooperative communications. The proposed SERS takes both social and physical constraints into account to determine the best choice of relay devices. In SERS, we further develop an optimization problem based on game theory, aiming at reducing energy consumption and interference. In the game, social distance is treated as a penalty coefficient and performs distributed control of the transmission power for D2D communications. Simulations based on real-world social network data traces show that SERS achieves a significant performance gain, compared with other relay selection approaches.
引用
收藏
页码:5331 / 5345
页数:15
相关论文
共 49 条
[1]  
[Anonymous], IEEE T VEH TECHNOL
[2]  
[Anonymous], 2006, CRAWDAD DATASET CAMB
[3]  
[Anonymous], 2012, Networks, Crowds, and Markets
[4]  
[Anonymous], P 2010 IEEE GLOB TEL
[5]  
[Anonymous], P 2008 NEW TECHN MOB
[6]   Community building over neighborhood Wireless Mesh Networks [J].
Antoniadis, Panayotis ;
le Grand, Benedicte ;
Satsiou, Anna ;
Tassiulas, Leandros ;
Aguiar, Rui L. ;
Barraca, Joao Paulo ;
Sargento, Susana .
IEEE TECHNOLOGY AND SOCIETY MAGAZINE, 2008, 27 (01) :48-56
[7]   A 61-million-person experiment in social influence and political mobilization [J].
Bond, Robert M. ;
Fariss, Christopher J. ;
Jones, Jason J. ;
Kramer, Adamd. I. ;
Marlow, Cameron ;
Settle, Jaime E. ;
Fowler, James H. .
NATURE, 2012, 489 (7415) :295-298
[8]   Impact of human mobility on opportunistic forwarding algorithms [J].
Chaintreau, Augustin ;
Hui, Pan ;
Crowcroft, Jon ;
Diot, Christophe ;
Gass, Richard ;
Scott, James .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2007, 6 (06) :606-620
[9]   Exploiting Social Ties for Cooperative D2D Communications: A Mobile Social Networking Case [J].
Chen, Xu ;
Proulx, Brian ;
Gong, Xiaowen ;
Zhang, Junshan .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2015, 23 (05) :1471-1484
[10]  
Crandall DavidJ., 2008, KDD, P160