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Energy-efficient resource allocation design for NOMA systems

Energy-efficient resource allocation design for NOMA systems

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This chapter introduces the basic concepts on energy efficiency and non -orthogonal multiple access (NOMA) to unlock the potentials of future communication networks. The energy -efficient resource allocation design for NOMA systems is formulated as a non -convex optimization problem. Based on the fractional programming and successive convex approximation (SCA), a generic algorithm is proposed to achieve a suboptimal solution of the formulated problem. Simulation results are provided to verify the convergence of the proposed algorithm and to evaluate the system energy efficiency of the proposed design.

Chapter Contents:

  • 13.1 Introduction
  • 13.1.1 Background
  • 13.1.2 Organization
  • 13.1.3 Notations
  • 13.2 Fundamentals of NOMA
  • 13.2.1 From OMA to NOMA
  • 13.2.2 Code-domain NOMA
  • 13.2.3 Power-domain NOMA
  • 13.2.4 Downlink NOMA
  • 13.2.5 Uplink NOMA
  • 13.3 Energy efficiency of NOMA
  • 13.3.1 Energy efficiency of downlink NOMA
  • 13.3.2 The trade-off between energy efficiency and spectral efficiency
  • 13.4 Energy-efficient resource allocation design
  • 13.4.1 Design objectives
  • 13.4.2 QoS constraint
  • Minimum data rate requirement
  • Outage probability requirement
  • 13.4.3 Fractional programming
  • 13.4.4 Successive convex approximation
  • 13.5 An illustrative example: energy-efficient design for multicarrier NOMA
  • 13.5.1 System model
  • 13.5.2 Energy-efficient resource allocation design
  • 13.6 Simulation results and discussions
  • 13.6.1 Convergence of the proposed algorithms
  • 13.6.2 System energy efficiency versus the total transmit power
  • 13.7 Conclusions
  • Appendices
  • A.1 Proof of Theorem 1
  • A.2 Proof of Theorem 2
  • References

Inspec keywords: multi-access systems; energy conservation; resource allocation; power aware computing; optimisation

Other keywords: nonorthogonal multiple access; fractional programming; energy efficiency; NOMA systems; successive convex approximation; generic algorithm; energy-efficient resource allocation; SCA; communication networks

Subjects: Computer networks and techniques; Optimisation techniques; Computer communications; Operating systems; Performance evaluation and testing; Power electronics, supply and supervisory circuits; Electrical/electronic equipment (energy utilisation); Optimisation techniques

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