Sum-Rate Maximization Schemes for -User MISO Interference Channels With a Cognitive Relay

PROJECT TITLE :

Sum-Rate Maximization Schemes for -User MISO Interference Channels With a Cognitive Relay

ABSTRACT:

In this paper, we have a tendency to think about -user multiple-input single-output interference channels with a cognitive relay. Assuming that knowledge of all transmitters and channel state information are known at the cognitive relay, we style a linear precoder for the cognitive relay with the aim of maximizing the sum-rate while not changing the transmitter operations in any respect transmitters. We have a tendency to initial outline the receiver set as a set that contains a part of the receivers, and then introduce a performance metric referred to as “partial signal-to-interference-and-noise ratio” (PSINR) based on the receiver set. Then, we can get a precoder at the cognitive relay by solving the PSINR maximization problem. The optimal receiver set that yields the utmost total-rate will be identified by checking all possible receiver sets. Since this exhaustive search has prohibitive complexity, we tend to develop a low complexity set search method by utilizing the properties of the optimal receiver set. Combining the PSINR maximization drawback and therefore the low complexity search method, we tend to finally propose a precoder style scheme for the total-rate maximization. Numerical simulation results ensure that the proposed scheme shows performance shut to the projected gradient methodology with abundant reduced complexity.

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