PROJECT TITLE :
Distributed Uplink Power Control for Multi-Cell Cognitive Radio Networks
We have a tendency to present a distributed power management algorithm to deal with the uplink interference management drawback in cognitive radio networks where the underlaying secondary users (SUs) share the identical licensed spectrum with the primary users (PUs) in multi-cell environments. Since the PUs have a better priority of channel access compared to the SUs, minimal range of SUs should be gradually removed, subject to the constraint that all primary users are supported with their target signal-to-interference-and-noise ratios (SINRs), which is assumed possible. In our proposed algorithm, each primary user rigidly tracks its target-SINR by employing the conventional target-SINR tracking power control algorithm (TPC). Each transmitting SU employs the TPC as long as the whole received power at the first receiver is below a given threshold; otherwise, it decreases its transmit power in proportion to the ratio between the given threshold and the total received power at the primary receiver, that is known as the entire received-power-temperature. We have a tendency to show that our proposed distributed power-update function has at least one fastened-purpose. We conjointly show that our proposed algorithm not only improves the quantity of supported SUs but conjointly guarantees that all primary users are supported with their (feasible) target-SINRs. Finally, we also propose an enhanced power control algorithm that achieves zero-outage for PUs and a higher outage ratio for SUs. To the current finish, we have a tendency to provide a strong power management method that considers the uncertainties in channel gains.
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