Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks.

Area of Science:

• Wireless communication networks
• Optimization theory
• Signal processing

Background:

• Energy efficiency (EE) is crucial for future wireless networks.
• Multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA) presents unique optimization challenges.
• Maximizing EE in MCMC-NOMA is an NP-hard problem, requiring advanced solutions.

Purpose of the Study:

• To investigate and solve the energy efficiency maximization problem in MCMC-NOMA networks.
• To develop an efficient optimization framework for user association and power allocation.
• To enhance overall system performance and energy savings.

Main Methods:

• Decoupling the EE maximization into user association and power allocation subproblems.
• Designing a matching-based framework for user association and subcarrier assignment.
• Proposing a two-stage quadratic transform to convert the non-convex power allocation problem into a convex one.

Main Results:

• The proposed matching-based framework effectively handles user association and subcarrier assignment.
• The two-stage quadratic transform successfully transforms the EE maximization into a solvable convex problem.
• Numerical results show improved EE compared to existing NOMA and orthogonal multiple access (OMA) schemes.

Conclusions:

• The developed optimization strategy effectively maximizes energy efficiency in MCMC-NOMA systems.
• The proposed method offers a significant performance improvement over conventional approaches.
• This research contributes to the development of more sustainable and efficient wireless networks.