Navigating the Complexities of 60 GHz 5G Wireless Communication Systems: Challenges and Strategies

The increasing road traffic demands innovative safety solutions, and researchers are exploring V2V communication via 5G massive MIMO at 60 GHz using roadside lamp-based base stations. This approach, with its numerous antennas, offers benefits like improved spectral efficiency, higher throughput, expanded coverage, energy efficiency, and reduced latency. However, deploying massive MIMO in mmWave technology poses challenges, particularly in selecting a suitable channel estimation algorithm. This research paper addresses the channel estimation issue and introduces a sparsity adaptive algorithm that balances accuracy and computational complexity effectively. The algorithm optimizes channel estimation in 60 GHz scenarios relevant for vehicular communications by leveraging channel sparsity, reducing complexity while maintaining accuracy. It is well-suited for real-time vehicular communication applications. To validate the proposed algorithm's efficiency, the paper presents a comprehensive survey of existing channel estimation methods. A comparison table discusses various scenarios, particularly those in the 60 GHz range, providing insights into the algorithm’s performance in different settings. These results hold promise for enhancing V2V communication systems, contributing to safer and more efficient road networks amid growing vehicular density.