Multi-Objective Resource Allocation for D2D and Enabled MC-NOMA Networks by Tchebycheff Method

This paper considers a resource allocation problem in device-to-device (D2D) communications sharing the same frequency spectrum. In particular, the cellular users (CUs) utilize non-orthogonal multiple access (NOMA) while D2D users (DUs) adopt the orthogonal frequency division multiple access (OFDMA)...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2021-05, Vol.70 (5), p.4464-4470
Main Authors: Bayat, Siavash, Khalili, Ata, Zargari, Shayan, Robat Mili, Mohammad, Han, Zhu
Format: Article
Language:English
Subjects:
Copper
Device-to-device (D2D)
Device-to-device communication
Frequency division multiple access
Frequency spectrum
Interference
monotonic optimization
multi-objective optimization problem (MOOP)
Multiple objective analysis
NOMA
non-orthogonal multiple access (NOMA)
Nonorthogonal multiple access
Optimization
Resource allocation
Resource management
Silicon carbide
weighted Tchebycheff method
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Summary:This paper considers a resource allocation problem in device-to-device (D2D) communications sharing the same frequency spectrum. In particular, the cellular users (CUs) utilize non-orthogonal multiple access (NOMA) while D2D users (DUs) adopt the orthogonal frequency division multiple access (OFDMA). A multi-objective optimization problem (MOOP) is formulated, which jointly maximizes the sum rate of DUs and CUs in uplink communications while taking into account the maximum transmit power budget and minimum data rate requirement for DUs and CUs. This MOOP is handled by the weighted Tchebycheff method, which converts it into a single-objective optimization (SOOP). Then, the monotonic optimization approach is employed to solve this SOOP optimally. Numerical results unveil an interesting tradeoff between D2D and CUs.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2021.3068855