Optimal Resource Allocation for NOMA-TDMA Scheme with α-Fairness in Industrial Internet of Things
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Department of IoT Engineering, Xi’an University of Technology, Xi’an 710048, China
Author to whom correspondence should be addressed.
Received: 19 April 2018 / Revised: 27 April 2018 / Accepted: 29 April 2018 / Published: 15 May 2018
In this paper, a joint non-orthogonal multiple access and time division multiple access (NOMA-TDMA) scheme is proposed in Industrial Internet of Things (IIoT), which allowed multiple sensors to transmit in the same time-frequency resource block using NOMA. The user scheduling, time slot allocation, and power control are jointly optimized in order to maximize the system
-fair utility under transmit power constraint and minimum rate constraint. The optimization problem is nonconvex because of the fractional objective function and the nonconvex constraints. To deal with the original problem, we firstly convert the objective function in the optimization problem into a difference of two convex functions (D.C.) form, and then propose a NOMA-TDMA-DC algorithm to exploit the global optimum. Numerical results show that the NOMA-TDMA scheme significantly outperforms the traditional orthogonal multiple access scheme in terms of both spectral efficiency and user fairness.
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Sun, Y.; Guo, Y.; Li, S.; Wu, D.; Wang, B. Optimal Resource Allocation for NOMA-TDMA Scheme with α-Fairness in Industrial Internet of Things. Sensors 2018, 18, 1572.
Sun Y, Guo Y, Li S, Wu D, Wang B. Optimal Resource Allocation for NOMA-TDMA Scheme with α-Fairness in Industrial Internet of Things. Sensors. 2018; 18(5):1572.
Sun, Yanjing; Guo, Yiyu; Li, Song; Wu, Dapeng; Wang, Bin. 2018. "Optimal Resource Allocation for NOMA-TDMA Scheme with α-Fairness in Industrial Internet of Things." Sensors 18, no. 5: 1572.
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