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The study focuses on network sum rate maximization by using power control mechanism.
Finally, studying the network sum capacity in correlated conditions is left for the future.
Our simulation results show substantial improvement in the network sum rate capacity.
The optimization aims to maximize the network sum rate under the precondition that the subcarrier allocation is predefined.
Note that the sum of log throughputs of all users in the network, (sum _{kin {mathcal {U}}}log gamma _{k}), is defined as a network-wide PF.
In Figures 4a and 4b, the CDFs of the network sum capacity using the Centralized configuration selection methods are plotted for the measured and simulated results, respectively.
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(a), (b). Figure 2 Average network sum-rate.
Thus, an increase in the network sum-rate is observed for each precoding scheme.
(a) Network sum-secrecy-rate versus bargaining power of source 1.
Figure 5 Network sum-rates versus M (with M = K, P = 10 dBW, and quantized CQI and CDI feedbacks, B = 2( M - 1)). Figure 6 displays the achievable network sum-rate as a function of P with M=K=4.
Further studies on the network sum-rate maximization problem are also presented in this contribution considering symmetric user coordination strategies.
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