Hello,
First of all, you have presented good work, thanks a lot for that. However, I have some questions.
First, Based on your system model, the receiver (terrestrial user) applies a number of M-1 SIC processes in order to get its intended message.
so my question is; would the receiver capabilities could handle this amount of complexity?
putting into consideration the channel estimation to get a proper CSI, in order to assume perfect/imperfect CSI?
Dear Author, thank you for your presentation. Do you have any plans for future work, such as deploying your algorithm in real network?
Thank you for your question.
As you mentioned, one of the concerns of our method is the complexity of the reception process due to the increasing number of users.As a solution method, many attempts to reduce the complexity of DSSS receivers and channel estimators have been studied, and we plan to implement and verify these techniques. Also, as mentioned in the full paper, the simulations in this study were performed assuming perfect CSI. As a next step, the introduction of imperfect CSI will allow us to obtain verification results that are closer to reality.
To date, we know that when errors are caused by imperfect CSI at higher power levels, the errors propagate to users at lower power levels. In other words, a simple model such as the one proposed in this paper would be unfair to users at lower power levels. Therefore, based on the theory of PDMA, users who fail to demodulate are assigned to a higher power level, and thus a higher QoS, in the subsequent time slot. The idea is to try to improve the quality of reception by doing this.
