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 spectral efficiency and energy efficiency through joint optimization of the transmit power at the BS and each RS. The proposed optimization methods, 1-D searching and alternate optimization, are effective in maximizing energy efficiency while satisfying spectral efficiency requirements. Pilot contamination significantly affects system performance, and future studies should address its mitigation and the optimal deployment of relay stations.
研究不足
The study does not include the optimal deployment of RSs (such as the number, the location, etc.) and the joint optimization over P, pr, and M, along with pilot contamination, which should be treated as subjects for future work.
1：Experimental Design and Method Selection:
The study involves deriving closed-form expressions for spectral efficiency (SE) and energy efficiency (EE) in a downlink single-cell multi-user multi-relay massive MIMO system under pilot contamination. The methodology includes theoretical analysis and simulation validation.
2：Sample Selection and Data Sources:
The simulation scenario considers a cellular cell with a radius of 900 m, with 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 are proposed: 1-D searching and alternate optimization.
5：Data Analysis Methods:
The analysis includes evaluating the impact of system parameters on SE and EE, and validating the effectiveness of the proposed optimization methods through simulation results.
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