研究目的
Investigating the spectral-energy efficiency tradeoff in relay-aided massive MIMO cellular networks with pilot contamination.
研究成果
The paper concludes that a relay-aided massive MIMO cellular network can achieve a tradeoff between SE and EE through joint optimization of transmit power at the BS and each RS. The proposed optimization methods, 1-D searching and alternate optimization, are effective in maximizing EE while satisfying SE requirements. However, pilot contamination significantly impacts system performance, indicating the need for further research in this area.
研究不足
The study focuses on a single-cell scenario and does not consider the optimal deployment of RSs (such as the number, location, etc.) which could be a subject for future work. Additionally, the impact of pilot contamination is significant, suggesting the need for further research to mitigate its effects.
1：Experimental Design and Method Selection:
The study involves deriving closed-form expressions for SE and EE in a downlink single-cell multi-user multi-relay massive MIMO system under pilot contamination. Theoretical models and algorithms are employed to analyze the system performance.
2：Sample Selection and Data Sources:
The simulation scenario includes a cellular cell with a radius of 900 m and relays located at 2/3 radius. Monte Carlo simulations with uniform distribution of users and random small-scale fading are conducted.
3：List of Experimental Equipment and Materials:
MATLAB is used for simulations. The simulation parameters are inspired by prior works in the field.
4：Experimental Procedures and Operational Workflow:
The study involves optimizing the number of antennas at the BS, transmit power at the BS, and transmit power of each RS to maximize EE while satisfying SE requirements. Two optimization methods, 1-D searching and alternate optimization, are proposed and compared.
5：Data Analysis Methods:
The impact of system parameters on SE and EE is analyzed under different system design goals. The effectiveness of the proposed optimization methods is validated through simulation results.
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