There is a demand for high bandwidth down links from space to earth. A cubesat in a GEO could function as a relatively cheap access point to a high bandwidth communication channel with earth. This...Show moreThere is a demand for high bandwidth down links from space to earth. A cubesat in a GEO could function as a relatively cheap access point to a high bandwidth communication channel with earth. This thesis explores new ways to increase the bandwidth by identifying bottlenecks in the GEO- Earth communication channel and how to circumvent them. The diffrac- tion limit causes large beam spreading at GEO distance, holding back ad- vanced modulation techniques due to the inability to capture the whole wave front. In this case, a modulation scheme using only a few bits should be chosen, allowing to modulate as fast as possible. The low signal inten- sity can be detected with more sensitivity by making use of a quantum enhanced receiver. From GEO to Earth, data rates around 50 Gbps are possible. Additionally, the atmosphere introduces spatial incoherence. To mitigate the effects of the atmosphere, a modulation scheme should be chosen that exploits modulation vectors which are orthogonal to the spa- tial dimension, such as polarization or wavelength. This gives a modula- tion scheme with many degrees of freedom. To deal with the complexity, a variational auto-encoder deep neural network is used to act as the modu- lator and demodulator. The variational distribution is chosen to match the noise introduced by an atmospheric channel. Using this scheme, we were able to find encodings that increase the density of symbols in phase space relative to the noise. This approach is especially promising in a bandwidth limited channel.Show less