Reflection Based Resource Allocation for Indoor mmWave D2D Communications

The abundant spectrum resources in millimeterwave (mmWave) frequency band enable high throughput for indoor communications. However, the huge path loss and high blockage probability result in vulnerability during transmission. The performance of propagation is severely influenced by blocked odds according to the reflections off smooth surfaces. In this paper, we propose a random blockage model to characterize the reflections off the walls and ceiling. To adjust the variant transmission which is suffering different reflections, we first propose a combinational temperature random algorithm (CTRA) to arrange resource blocks with plausible availability. The CTAR includes two phases: partition and matching, which highly enhance the average throughput. The main conclusions are that the modified algorithm brings about higher system throughput with appropriate temperature factors and performances much better.