Precoding-Aided Bandwidth Optimization for High Throughput Satellite Systems

Linear precoding boosts the spectral efficiency of the
satellite system by mitigating the interference signal. Typically,
all users are precoded and share the same bandwidth regardless
of the user demand. This bandwidth utilization is not efficient
since the user demand permanently varies. Hence, demand-aware
bandwidth allocation with linear precoding is promising. In this
paper, we exploited the synergy of linear precoding and flexible
bandwidth allocation for geostationary (GEO) high throughput
satellite systems. We formulate an optimization problem with
the goal to satisfy the demand by taking into account that
multiple precoded user groups can share the different bandwidth
chunks. Hence, optimal beam groups are selected with minimum
bandwidth requirement to match the per beam demand. The
simulation results show that the proposed method of combining
bandwidth allocation and linear precoding has better bandwidth
efficiency and demand satisfaction than benchmark schemes.