This paper investigates the synergistic potential of reconfigurable intelligent surfaces (RIS) and non-orthogonal multiple access (NOMA) to enhance the energy efficiency and performance of next-generation wireless networks.We delve into the design of energy-efficient passive beamforming (PBF) strategies within RIS-assisted coordinated multi-point (CoMP)-NOMA networks.Two distinct RIS configurations, namely, enhancementonly PBF (EO) and enhancement & cancellation PBF (EC), are proposed and analyzed.Our findings demonstrate that RISassisted CoMP-NOMA networks offer significant efficiency gains compared to traditional CoMP-NOMA systems.Furthermore, we formulate a PBF design problem to optimize the RIS phase shifts for maximizing energy efficiency.Our results reveal that the optimal PBF design is contingent upon several factors, including the number of cooperating base stations (BSs), the number of RIS elements deployed, and the RIS configuration.This study underscores the potential of RIS-assisted CoMP-NOMA networks as a promising solution for achieving superior energy efficiency and overall performance in future wireless networks.
This paper explores energy-efficient passive beamforming design in reconfigurable intelligent surface (RIS)-assisted coordinated multi-point (CoMP) non-orthogonal multiple access (NOMA) networks. It proposes two configurations for passive beamforming: enhancement-only (EO) and enhancement & cancellation (EC). The analysis shows that RIS-assisted CoMP-NOMA networks significantly enhance energy efficiency compared to traditional methods. The study formulates a problem for optimizing RIS phase shifts to maximize energy efficiency, revealing that various factors like the number of cooperative base stations (BSs) and RIS elements impact performance. Results highlight RIS combined with CoMP-NOMA as a powerful solution for future wireless networks, emphasizing the need for careful design and optimization.
This paper employs the following methods:
- Passive Beamforming (PBF)
- Reconfigurable Intelligent Surfaces (RIS)
- Coordinated Multi-Point (CoMP)
- Non-Orthogonal Multiple Access (NOMA)
The following datasets were used in this research:
- Energy Efficiency
- Outage Probability
- Achievable Rate
- RIS-assisted CoMP-NOMA networks provide significant efficiency gains over traditional systems.
- Optimal PBF design depends on the number of cooperating BSs, RIS elements, and configurations.
The authors identified the following limitations:
- The study considers a simplified model with only one edge user and one cell-center user per cell, which may not represent practical scenarios.
- Increased complexity when introducing more users per cell is not addressed.
- Number of GPUs: None specified
- GPU Type: None specified
- Compute Requirements: None specified