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A hard clustering algorithm alleviating the prototype under-utilization problem is also derived.
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The second algorithm alleviates the computational effort based on heuristics.
The block algorithm alleviates the overhead of multiple source layers and allows the multilayer MFS to outperform the monolayer MFS.
Our proposed k-hop clustering algorithm alleviates this problem by limiting the number of hops between a server and client.
In addition, the proposed algorithm alleviated the energy balancing problem of this type of network.
This algorithm alleviates the congestion control but does not solve the reliability problem and cannot be considered as a long-term solution for the WSN QoS.
We should mention that even though SPCPM did not directly deal with balancing the energy consumption, it is expected that the algorithm alleviate the energy hole problem.
On the contrary, our proposed algorithm alleviates two-hop rate mismatch by integrating the first-hop parameters and the timesharing value in relay transmit beamforming design, thus improving the end-to-end sum-rates.
This is because the proposed FNRAG algorithm alleviates the uplink interference generated by femto users to the macrocell by charging each femto user a price proportional to the interference that it causes to the macrocell, and the macrocell capacity and consequently the tiered fairness can be guaranteed.
However, for RealData, SE algorithm leads to slightly better results, which might be due to the more evident mismatch between RealData and the training data, for which the SE algorithm alleviates such mismatch.
This paper presents an adaptive mode decision and CU partition early termination algorithm for alleviating the computational complexity of the HEVC intra-encoder.
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