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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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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
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Optimal Decoding Order and Power Allocation for Sum Throughput Maximization in Downlink NOMA Systems.

Zhuo Han1, Wanming Hao1, Zhiqing Tang2

  • 1School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.

Entropy (Basel, Switzerland)
|May 24, 2024
PubMed
Summary

This study analyzes downlink non-orthogonal multiple access (NOMA) systems over Nakagami-m channels. We derive outage probabilities and optimize power allocation and decoding order to maximize sum throughput, confirming results with simulations.

Keywords:
NOMAdecoding orderoutage probabilitypower allocationsum throughput

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Area of Science:

  • Wireless communication systems
  • Information theory
  • Signal processing

Background:

  • Non-orthogonal Multiple Access (NOMA) is a key technology for enhancing spectral efficiency in 5G and beyond.
  • Performance analysis of NOMA systems over fading channels, such as Nakagami-m, is crucial for practical deployment.
  • Optimizing power allocation and decoding order significantly impacts system throughput and user fairness.

Purpose of the Study:

  • To derive exact and asymptotic outage probabilities for a downlink NOMA system over Nakagami-m channels.
  • To determine optimal power allocation ranges and investigate their dependence on system parameters.
  • To jointly optimize decoding order and power allocation to maximize sum throughput.

Main Methods:

  • Derivation of closed-form expressions for exact and asymptotic outage probabilities.
  • Theoretical analysis of power allocation ranges and demarcation points.
  • Formulation and efficient search-based solution for the joint optimization problem.
  • Monte Carlo simulations for validation.

Main Results:

  • Closed-form expressions for outage probability and diversity order are derived.
  • Optimal power allocation ranges are identified, with demarcation points proportional to total power and independent of channel state information (CSI).
  • The optimal decoding order is shown to be variable, depending on total transmit power levels.
  • The joint optimization effectively maximizes sum throughput.

Conclusions:

  • The derived analytical expressions accurately predict system performance.
  • The proposed power allocation strategy and decoding order optimization provide significant performance gains.
  • The study offers valuable insights for designing efficient NOMA systems in realistic fading environments.