TY - JOUR
T1 - A Game-Theoretic Resource Allocation Approach for Intercell Device-to-Device Communications in Cellular Networks
AU - Huang, Jun
AU - Yin, Ying
AU - Zhao, Yanxiao
AU - Duan, Qiang
AU - Wang, Wei
AU - Yu, Shui
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61309031 and Grant 61272400, in part by the Post-Doctoral Science Foundation of China under Grant 2014M551740, in part by the Program for Innovation Team Building at Institutions of Higher Education in Chongqing under Grant KJTD201310, in part by the National Science Foundation of Chongqing under Grant cstc2013jcyjA40026, in part by the Science and Technology Research Program of Chongqing Municipal Education Commission under Grant KJ130523, and in part by the Chongqing University of Posts and Telecommunications Research Fund for Young Scholars under Grant A2012-79. The work of Y. Zhao was supported in part by the National Science Foundation under Grant ECCS-1310562.
Publisher Copyright:
© 2013 IEEE.
PY - 2016
Y1 - 2016
N2 - Device-to-device (D2D) communication is a recently emerged disruptive technology for enhancing the performance of current cellular systems. To successfully implement D2D communications underlaying cellular networks, resource allocation to D2D links is a critical issue, which is far from trivial due to the mutual interference between D2D users and cellular users. Most of the existing resource allocation research for D2D communications has primarily focused on the intracell scenario while leaving the intercell settings not considered. In this paper, we investigate the resource allocation issue for intercell scenarios where a D2D link is located in the overlapping area of two neighboring cells. Furthermore, we present three intercell D2D scenarios regarding the resource allocation problem. To address the problem, we develop a repeated game model under these scenarios. Distinct from existing works, we characterize the communication infrastructure, namely, base stations, as players competing resource allocation quota from D2D demand, and we define the utility of each player as the payoff from both cellular and D2D communications using radio resources. We also propose a resource allocation algorithm and protocol based on the Nash equilibrium derivations. Numerical results indicate that the developed model not only significantly enhances the system performance, including sum rate and sum rate gain, but also shed lights on resource configurations for intercell D2D scenarios.
AB - Device-to-device (D2D) communication is a recently emerged disruptive technology for enhancing the performance of current cellular systems. To successfully implement D2D communications underlaying cellular networks, resource allocation to D2D links is a critical issue, which is far from trivial due to the mutual interference between D2D users and cellular users. Most of the existing resource allocation research for D2D communications has primarily focused on the intracell scenario while leaving the intercell settings not considered. In this paper, we investigate the resource allocation issue for intercell scenarios where a D2D link is located in the overlapping area of two neighboring cells. Furthermore, we present three intercell D2D scenarios regarding the resource allocation problem. To address the problem, we develop a repeated game model under these scenarios. Distinct from existing works, we characterize the communication infrastructure, namely, base stations, as players competing resource allocation quota from D2D demand, and we define the utility of each player as the payoff from both cellular and D2D communications using radio resources. We also propose a resource allocation algorithm and protocol based on the Nash equilibrium derivations. Numerical results indicate that the developed model not only significantly enhances the system performance, including sum rate and sum rate gain, but also shed lights on resource configurations for intercell D2D scenarios.
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U2 - 10.1109/TETC.2014.2384372
DO - 10.1109/TETC.2014.2384372
M3 - Article
AN - SCOPUS:85014949601
VL - 4
SP - 475
EP - 486
JO - IEEE Transactions on Emerging Topics in Computing
JF - IEEE Transactions on Emerging Topics in Computing
SN - 2168-6750
IS - 4
ER -