Resource Allocation for Indoor Self-blockage WmWave Device-to-Device
Communications
Abstract
Millimeter wave (mmWave) technology can meet the requirements of large
amount of data communications among intelligent devices for indoor
scenario. With high requirement of throughput, reducing interference in
an enclosed region is still a challenge. For indoor scenario, the human
bodies are considered as the main blockages besides conventional
blockages. In this paper, we present a new system model by exploiting
the self-blockage model to capture the effects of human body, while
using multi-ball Line of Sight (LOS) link state model to describe the
conventional blockage. The combination of the two components provides a
more comprehensive and accurate expression of indoor obstruction. We
give a closed expression of coverage rate to analyze the system
performance. Simulation results show that the proposed model is highly
accurate to describe the distribution of blockages for indoor case.
Then, we formulate the resource allocation as an optimization problem
under this scenario. The target of this optimization is to achieve the
maximum throughput by minimizing interference. To reach this goal, an
improved Powell Multi Vertex Coloring algorithm (PMVC) is proposed. The
throughput raises apparently when we modify this scheme to put more
flows in different time-slots evenly. Numerical experiments show that
the improved algorithm can achieve higher system throughput than
traditional greedy algorithm and Powell Vertex Coloring (PVC) scheme.