A new subcarrier allocation strategy for MIMO-OFDMA multicellular networks based on cooperative interference...

Area of Science:

• Wireless communication networks
• Signal processing
• Telecommunications engineering

Background:

• Orthogonal Frequency Division Multiple Access (OFDMA) is a key technology for modern wireless systems.
• Multiple Input Multiple Output (MIMO) architectures enhance spectral efficiency and link reliability.
• Multicellular OFDMA networks face challenges in efficient resource allocation due to interference and loading.

Purpose of the Study:

• To evaluate a novel subcarrier allocation strategy for OFDMA multicellular networks utilizing MIMO.
• To quantify the performance improvements offered by the proposed strategy compared to traditional methods.
• To assess the impact of cell loading and MIMO configuration on the strategy's effectiveness.

Main Methods:

• Development of a hybrid system-link level simulator.
• Implementation of parallel Monte Carlo (MC) simulations for performance analysis.
• Evaluation of up to two tiers of cells around a central cell under increased loading.
• Analysis using a symmetric 2x2 MIMO configuration and 16-QAM modulation.

Main Results:

• The proposed subcarrier allocation strategy yields up to a 12% capacity gain.
• This gain is observed in a 2x2 MIMO configuration with two tiers of cells and 16-QAM modulation.
• The strategy outperforms traditional methods that solely maximize the desired user's signal.

Conclusions:

• The novel subcarrier allocation strategy significantly enhances OFDMA multicellular network capacity.
• The strategy demonstrates effectiveness in complex network environments with increased loading and MIMO.
• Optimized subcarrier allocation is crucial for maximizing performance in advanced wireless systems.