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Maximum Power Transfer

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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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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.

Keywords:

5G and beyond multicast device-to-device communication non-orthogonal communications

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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.