TY - JOUR
T1 - Dynamic network formation game with social awareness in D2D communications
AU - La, Quang Duy
AU - Quek, Tony Q.S.
AU - Shin, Hyundong
N1 - Funding Information:
Manuscript received November 6, 2017; revised March 22, 2018 and July 6, 2018; accepted July 17, 2018. Date of publication August 6, 2018; date of current version October 9, 2018. This work was supported in part by the MOE ARF Tier 2 under Grant MOE2015-T2-2-104, in part by the SUTD-ZJU Research Collaboration under Grant SUTD-ZJU/RES/01/2016, and in part by the National Research Foundation of Korea Grant funded by the Korea Government (MSIP) under Grant 2016R1A2B2014462. The associate editor coordinating the review of this paper and approving it for publication was N. Michelusi. (Corresponding authors: Tony Q. S. Quek and Hyundong Shin.) Q. D. La is with the Singapore University of Technology and Design, Singapore 487372 (e-mail: [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/10
Y1 - 2018/10
N2 - The benefit of having a complementary network such as device-to-device (D2D) communications underlaying cellular systems lies in alleviating the traffic overloading burdens at base stations (BSs). This is critical in modern-day scenarios, e.g., in offloading and caching of mobile data traffic, and delivery of popular Internet contents to users. In this paper, we are chiefly interested in the establishment of D2D networks and how such a network evolves dynamically over time as D2D links are continuously formed and broken. Another important yet challenging research opportunity, i.e., the leverage of human users' social ties for D2D communications, will also be addressed in this paper. To investigate the D2D network formation problem, we look at a game-theoretic framework where the utility function is designed to balance the physical and social domains - where we systematically extract social tie strengths from a real-world data set. To study the evolution of such D2D networks through time in a dynamic stochastic context, we propose a dynamic potential game and show that its equilibrium behaviors can be achieved through some strategy and payoff learning mechanisms. Simulation results verify our analysis. Using a content delivery application to assess the performance of our proposed scheme, it can be shown that major improvements can be obtained in terms of network delay, content accessibility, and BS load reduction.
AB - The benefit of having a complementary network such as device-to-device (D2D) communications underlaying cellular systems lies in alleviating the traffic overloading burdens at base stations (BSs). This is critical in modern-day scenarios, e.g., in offloading and caching of mobile data traffic, and delivery of popular Internet contents to users. In this paper, we are chiefly interested in the establishment of D2D networks and how such a network evolves dynamically over time as D2D links are continuously formed and broken. Another important yet challenging research opportunity, i.e., the leverage of human users' social ties for D2D communications, will also be addressed in this paper. To investigate the D2D network formation problem, we look at a game-theoretic framework where the utility function is designed to balance the physical and social domains - where we systematically extract social tie strengths from a real-world data set. To study the evolution of such D2D networks through time in a dynamic stochastic context, we propose a dynamic potential game and show that its equilibrium behaviors can be achieved through some strategy and payoff learning mechanisms. Simulation results verify our analysis. Using a content delivery application to assess the performance of our proposed scheme, it can be shown that major improvements can be obtained in terms of network delay, content accessibility, and BS load reduction.
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U2 - 10.1109/TWC.2018.2860957
DO - 10.1109/TWC.2018.2860957
M3 - Article
AN - SCOPUS:85051375682
SN - 1536-1276
VL - 17
SP - 6544
EP - 6558
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 10
M1 - 8425985
ER -