Random-Access Technique for Self-Organization of 5G Millimeter-Wave Cellular Communications

Abstract

The random-access (RA) technique is a key procedure in cellular networks and self-organizing networks (SONs), but the overall processing time of this technique in millimeter-wave (mm-wave) cellular systems with directional beams is very long because RA preambles (RAPs) should be transmitted in all directions of Tx and Rx beams. In this paper, two different types of preambles (RAP-1 and RAP-2) are proposed to reduce the processing time in the RA stage. After analyzing the correlation property, false-alarm probability, and detection probability of the proposed RAPs, we perform simulations to show that the RAP-2 is suitable for RA in mm-wave cellular systems with directional beams because of the smaller processing time and high detection probability in multiuser environments.

Virtual Networking for Lowering Cost of Ownership

“…Hence, the coverage map of SON algorithms within the ongoing set of 5G and beyond standards will be extended to cater for new use cases. These include self-protection to cater for automated security [17][18][19][20], SON for mmWave [21][22][23], SON for MIMO to enable adaptability to the different propagation characteristics of the mmWave links [24][25], SON for NFV-based networking mainly to ensure optimal NFV placement and traffic steering problem [26][27], and SON for Multi-RAT optimization and spectrum sharing, towards overall improved networks performance [28]. Ultimately, SON for EE radio management is another use-case of SON application for 5G networks that is currently attracting lots of interest.…”

On Energy Efficient Resource Allocation in Shared RANs: Survey and Qualitative Analysis

“…Simulation results show improved user SINR ratios to potential handover beams and better directional cell discovery. The improvement of the random-access technique for mmWave with directional beams, by proposing two different types of preambles, reducing the overall processing, and the suggestion of SOpower allocation algorithm, based on Q-learning, was the focus in [59], [60]. SON for adaptive resource allocation in mmWave MIMO 5G, has been designed in [61], where adaptability is defined with respect to power and resource block assignment.…”