Resource Allocation for Sum-Rate Maximization in Multi-UAV SCMA Networks
- Resource Type
- Conference
- Authors
- Chaturvedi, Saumya; Bohara, Vivek Ashok; Liu, Zilong; Srivastava, Anand; Xiao, Pei
- Source
- 2023 IEEE Globecom Workshops (GC Wkshps) Globecom Workshops (GC Wkshps), 2023 IEEE. :1219-1224 Dec, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Codes
Simulation
Interference
Benchmark testing
Autonomous aerial vehicles
Downlink
Resource management
Factor Graph Matrix Assignment
Probabilistic LoS channel model
Sparse Code Multiple Access (SCMA)
Unmanned Aerial Vehicles (UAV) communications
- Language
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 code-book 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.