TY - JOUR
T1 - Device-to-device communications underlying UAV-Supported social networking
AU - Xue, Zhen
AU - Wang, Jinlong
AU - Ding, Guoru
AU - Wu, Qihui
AU - Lin, Yun
AU - Tsiftsis, Theodoros A.
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61501510 and Grant 61631020 and in part by the China Postdoctoral Science Funded Project under Grant 2016M590398 and Grant 2018T110426.
PY - 2018/6/20
Y1 - 2018/6/20
N2 - The integration of device-to-device (D2D) communications technology can further boost system performance for unmanned aerial vehicles supported pervasive social networking. In this paper, we maximize the sum social group utility of the social networking by power optimization, whereas the quality-of-service requirements of all D2D users and downlink users must be satisfied. In the proposed formulation, we consider the physical interference and social connections between users in the physical/social domain, respectively. However, the formulated problem is strongly NP-hard and intractable, to solve it we reveal the hidden non-convex components, and approximate the original problem with a sequence of more tractable convex problems. We propose an efficient semi-decentralized algorithm by decomposing the complex problem into several simple subproblems, which is proved to converge to the stationary solutions of the original problem. Simulation results show that our proposed method can achieve comparable performance but much less time complexity than the centralized method and obtain superior performance.
AB - The integration of device-to-device (D2D) communications technology can further boost system performance for unmanned aerial vehicles supported pervasive social networking. In this paper, we maximize the sum social group utility of the social networking by power optimization, whereas the quality-of-service requirements of all D2D users and downlink users must be satisfied. In the proposed formulation, we consider the physical interference and social connections between users in the physical/social domain, respectively. However, the formulated problem is strongly NP-hard and intractable, to solve it we reveal the hidden non-convex components, and approximate the original problem with a sequence of more tractable convex problems. We propose an efficient semi-decentralized algorithm by decomposing the complex problem into several simple subproblems, which is proved to converge to the stationary solutions of the original problem. Simulation results show that our proposed method can achieve comparable performance but much less time complexity than the centralized method and obtain superior performance.
KW - Power optimization
KW - convex optimization
KW - device-to-device (D2D) communication
KW - unmanned aerial vehicles (UAV)
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U2 - 10.1109/ACCESS.2018.2849440
DO - 10.1109/ACCESS.2018.2849440
M3 - Article
AN - SCOPUS:85048877271
VL - 6
SP - 34488
EP - 34502
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
ER -