Cloud vendors are now providing cloud gaming services with GPUs. GPUs in cloud gaming experience periods of idle because not every frame in a game always keeps the GPU busy for rendering. Previous works temporally co-locate games with best-effort applications to harvest these idle cycles. However, these works ignore the spatial sharing of GPUs, leading to not maximized throughput improvement. The newly introduced RT (ray tracing) Cores inside GPU SMs for ray tracing exacerbate the situation.

In this paper, the impact of mutual coupling on LTE-R MIMO capacity for antenna array configurations in high speed railway scenario is investigated. In order to evaluate the impact of mutual coupling for different antenna array configurations, the extended 3D clustered channel model is presented primarily in this paper. The impact of mutual coupling can be added to channel models using coupling matrix which is modeled based on S-parameters obtained from CST Microwave Studio. We study the impact of coupling on LTE-R MIMO capacity from the perspective of antenna array configurations: antenna array deployment, interelement spacing and fixed total physical space. The simulations illustrate that the impact on the capacity caused by mutual coupling is significant and differs among various antenna array configurations, which yields meaningful insight into the LTE-R antenna array configurations in high speed railway scenario.

The impact of antenna array geometry on MIMO (Multiple-input Multiple-output) system in high speed railway scenario is investigated in this paper. The capacity of different antenna arrays and the effect of ULA (uniform linear array) azimuthal orientation on capacity are studied with a double-directional channel model including antenna effects and Doppler shift.