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Using this scheme, JT CoMP can improve the sum capacity for essentially all investigated combinations of user positions.
The BD precoding has been proposed in [10] to improve the sum rate or reduce the transmitted power.
In the simulations, we will show that with the larger overhead, the MMSE relaying can further improve the sum rate that achieved by the proposed zero-forcing scheme.
To improve the sum capacity the SIC-based receiver cancels the interference corresponding to the detected symbols, starting from those which have the highest system value.
The algorithm stops when muting any additional BS does not improve the sum of the PF metrics with respect to the previous iteration.
In order to improve the sum rate, we can have the transmit power at the nodes as variables to be optimised subject to power constraint at each node.
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Furthermore, a power allocation scheme is proposed to improve the sum-rate of NOMA system.
Finally, numerical results show that the NOMA-BF system with our proposed schemes can improve the sum-rate performance under condition of the limited CSI feedback.
In [12, 13], some distributed power allocation algorithms, for the derived precoder vectors, were proposed to further improve the sum-rate.
With the imperfect CSI, we propose the user selection scheme to reduce the interference between the NOMA users and the power allocation scheme to improve the sum-rate of NOMA system.
Depending on the specific construct, this can improve the summed multiple coherence at frequencies where the response magnitude is low.
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