Pair Auction and Matching for Resource Allocation in Full-Duplex Cellular Systems

Chao, Cheng-Chih; Wang, Chih-Yu; Lee, Chia-Han; Wei, Hung‐Yu; Chen, Wen-Tsuen

doi:10.1109/tvt.2020.2973712

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…As stated before, the scheduling variable determines both AAU selection and subcarrier assignment. To complete it, we propose two-stage matching algorithm [21], [42], [43], [47]. In the proposed matching algorithm, in the first stage, we match users to the AAUs ("AAU selection") and in the second stage, we match users of each AAUs to the subcarriers ("subcarrier assignment").…”

Section: B Low Complexity Algorithm Designmentioning

confidence: 99%

Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G

Zakeri,

Khalili,

Javan

et al. 2021

Preprint

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This paper studies a novel approach for successive interference cancellation (SIC) ordering and beamforming in a multiple antennas non-orthogonal multiple access (NOMA) network with multi-carrier multi-user setup. To this end, we formulate a joint beamforming design, subcarrier allocation, user association, and SIC ordering algorithm to maximize the worst-case energy efficiency (EE). The formulated problem is a non-convex mixed integer non-linear programming (MINLP) which is generally difficult to solve. To handle it, we first adopt the linearizion technique as well as relaxing the integer variables, and then we employ the Dinkelbach algorithm to convert it into a more mathematically tractable form. The adopted non-convex optimization problem is transformed into an equivalent rank-constrained semidefinite programming (SDP) and is solved by SDP relaxation and exploiting sequential fractional programming. Furthermore, to strike a balance between complexity and performance, a low complex approach based on alternative optimization is adopted. Numerical results unveil that the proposed SIC ordering method outperforms the conventional existing works addressed in the literature.

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