Chaturvedi, Saumya and Bohara, Vivek Ashok and Liu, Zilong and Srivastava, Anand and Xiao, Pei (2023) Resource Allocation for Sum-Rate Maximization in Multi-UAV SCMA Networks. In: 2023 IEEE Globecom Workshop: Next Generation Multiple Access (NGMA) for Future Wireless Communications, 2023-12-04 - 2023-12-08, Kuala Lumpur, Malaysia. (In Press)
Chaturvedi, Saumya and Bohara, Vivek Ashok and Liu, Zilong and Srivastava, Anand and Xiao, Pei (2023) Resource Allocation for Sum-Rate Maximization in Multi-UAV SCMA Networks. In: 2023 IEEE Globecom Workshop: Next Generation Multiple Access (NGMA) for Future Wireless Communications, 2023-12-04 - 2023-12-08, Kuala Lumpur, Malaysia. (In Press)
Chaturvedi, Saumya and Bohara, Vivek Ashok and Liu, Zilong and Srivastava, Anand and Xiao, Pei (2023) Resource Allocation for Sum-Rate Maximization in Multi-UAV SCMA Networks. In: 2023 IEEE Globecom Workshop: Next Generation Multiple Access (NGMA) for Future Wireless Communications, 2023-12-04 - 2023-12-08, Kuala Lumpur, Malaysia. (In Press)
Abstract
This work investigates a sparse code multiple access (SCMA) assisted multiple unmanned aerial vehicles (UAVs) downlink communication network for improved data services to multiple ground users. Our objective is to maximize the sum-rate of the multi-UAV SCMA network by optimizing the SCMA factor graph matrix used for resource allocation, considering the inter-UAV and intra-UAV interference components. The formulated problem is non-convex in nature and is subject to the SCMA codebook constraints. We propose a factor graph matrix assignment algorithm to solve this optimization problem. Our simulation results demonstrate the superiority of the proposed scheme in terms of rate performance over the benchmark schemes. Thus, compared with orthogonal multiple access strategies, SCMA emerge as a promising candidate for next generation multiple access (NGMA) techniques.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Factor Graph Matrix Assignment; Probabilistic LoS channel model; Sparse Code Multiple Access (SCMA); Unmanned Aerial Vehicles (UAV) communications |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 05 Oct 2023 09:03 |
Last Modified: | 25 Apr 2024 17:21 |
URI: | http://repository.essex.ac.uk/id/eprint/36568 |
Available files
Filename: multi_uav_scma_globecom_workshop_paper_v7.pdf