Abstract
A novel joint optimization framework for device-to-device (D2D)-enabled non-orthogonal multiple access (NOMA) networks is proposed. Our objective is to maximize the performance of the D2D communication by jointly optimizing the resource block (RB) assignment and the power allocation, by considering the SIC decoding order of the NOMA-based cellular user equipments (CUEs). We invoke the distributed decision making (DDM) framework to decouple the formulated problem into two sub-problems. For the RB assignment sub-problem with integer variables, we propose a differential evolution (DE) algorithm to obtain the optimal NOMA CUE group and RB assignment for D2D pairs. For power allocation sub-problem with continuous variables and decoding order variables, we first use a heuristic algorithm to optimize the power allocation for NOMA-based CUEs with given D2D power allocation. We prove that the power allocation for the NOMA-based CUEs is the optimal solution. We then invoke the successive convex approximation (SCA) and DE to find the sub-optimal power allocation of the D2D pairs. The numerical results validate the feasibility, fast convergence, and flexibility of the proposed algorithm, and the performance with our algorithm outperforms the conventional OMA technology in terms of energy efficiency and sum rate.
Highlights
The exponential increase of smart devices and upsurge growth of various mobile applications have largely accelerated the growth of mobile data traffic
For solving the resource block (RB) assignment sub-problem, we develop an optimization framework based on adaptive differential evolution (DE) algorithm, where D2D RB assignment, cellular user equipments (CUEs) clustering is represented as an individual in DE
We have formulated a joint resource allocation problem taking into account the non-orthogonal multiple access (NOMA) clustering, RB assignment and power allocation
Summary
The exponential increase of smart devices and upsurge growth of various mobile applications have largely accelerated the growth of mobile data traffic. As reported by Cisco, the monthly global mobile data traffic will reach 30.6 exabytes by 2020, and this trend will be continuing until 2022 [1]. This exponentially growing data has placed a huge challenge on conventional cellular base stations [2]. In order to cope with those flood data demands, the deviceto-device (D2D) communication has been emerged as a. In D2D, devices in close proximity are allowed to exchange data directly without the help of cellular base stations (BSs). Due to its short communication range between the transmitter and receiver in a D2D pair, the proximity gain is enhanced, and the offload of the BS is reduced
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
