PROJECT TITLE :

Adaptive Millimeter Wave Beam Alignment for Dual-Polarized MIMO Systems

ABSTRACT:

Fifth-generation wireless systems are expected to use multiple-antenna Communication at millimeter wave (mmWave) frequencies using small cells inside heterogeneous cellular networks. The high path loss of mmWave and also the physical obstructions create communication difficult. To catch up on the severe path loss, mmWave systems could employ a beam alignment algorithm that facilitates highly directional transmission by aligning the beam direction of multiple antenna arrays. This paper discusses a mmWave system employing twin-polarized antennas. Initial, we tend to propose a practical soft-call beam alignment (soft-alignment) algorithm that exploits orthogonal polarizations. By sounding the orthogonal polarizations in parallel, the equality criterion of the Welch bound for training sequences is relaxed. Second, the analog beamforming system is tailored to the directional characteristics of the mmWave link, assuming a high Ricean -factor and poor scattering setting. A soft-alignment algorithm allows the mmWave system to align a large variety of narrow beams to the channel subspace in an try to effectively scan the mmWave channel. Third, we have a tendency to propose a methodology to efficiently adapt the number of channel sounding observations to the particular channel surroundings based mostly on an approximate likelihood of beam misalignment. Simulation results show that the proposed soft-alignment algorithm with adaptive sounding time effectively scans the channel subspace of a mobile user by exploiting polarization diversity.