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Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy
Mariem Hmila1, Manuel Fernández-Veiga1, Miguel Rodríguez-Pérez1
1atlanTTic Laboratory, Faculty of Telecommunications Engineering, Universidade de Vigo, 36310 Vigo, Spain.
Sensors (Basel, Switzerland)
|June 2, 2021
Summary
Non-orthogonal multiple access (NOMA) improves multicast device-to-device (MD2D) networks by increasing data rates. While NOMA enhances overall network energy efficiency, it doesn't always boost individual device energy efficiency.
Area of Science:
- Wireless Communications
- Signal Processing
- Network Optimization
Background:
- Non-orthogonal multiple access (NOMA) techniques aim to enhance wireless system throughput towards theoretical capacity.
- Multicast device-to-device (MD2D) communications involve shared, non-orthogonal channels, naturally lending themselves to NOMA implementation.
- Successive interference cancellation (SIC) is crucial for NOMA receivers to decode superimposed signals.
Purpose of the Study:
- To analyze the performance impact and potential gains of NOMA in MD2D networks.
- To investigate the energy efficiency of MD2D networks employing NOMA.
- To develop optimization-based models for dynamic power control in NOMA-enabled MD2D systems.
Main Methods:
- Formulation of an optimization model incorporating SIC operations for NOMA transmitters and receivers.
- Development of a dynamic power control algorithm to optimize network energy efficiency (global and max-min).
- Presentation of centralized and semi-distributed solutions for the optimization problems.
Main Results:
- NOMA significantly improves both sum-rate and max-min rate in MD2D networks, even with minimal resource sharing.
- NOMA enhances the global energy efficiency of the MD2D network.
- Max-min energy efficiency at the device level is not consistently improved by NOMA.
Conclusions:
- NOMA is a viable technique for enhancing the spectral and energy efficiency of MD2D communication systems.
- The trade-offs between sum-rate, max-min rate, and energy efficiency require careful consideration in NOMA-based MD2D network design.
- Further research may explore strategies to optimize max-min energy efficiency in NOMA-enabled MD2D networks.
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