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We have also adapted the basic slot allocation strategies, that are aimed at maximizing system throughput, to take benefit of the pulsed discharge model.
Although many works [10 13] apply multiuser diversity in user scheduling for maximizing system throughput, the system buffer size in these schemes is assumed to be infinite, that is to say, any arriving bit can be buffered and any bit loss due to buffer overflow will not happen.
In distributed query processing systems, load balancing plays an important role in maximizing system throughput.
Hence, we propose a secondary users (SUs) selection algorithm for maximizing system throughput while ensuring spectrum sensing accuracy.
For example the transmission powers maximizing system throughput in the multiple interfering link case leads to a non-convex optimization problem which was studied in[11, 12].
The objective of maximizing system throughput with constraints on the delay and the maximum transmitted power is formulated as a mixed convex and combinatorial optimization problem.
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In order to maximize system throughput, a beamforming strategy based on the interference alignment is used.
To maximize system throughput, more resources should be allocated to the users in good channel conditions.
In general, schedulers are designed to maximize system throughput and capacity or to minimize error rates.
This allows operators to maximize system throughput and is more useful for non-real-time traffic, which are delay tolerant.
To maximize system throughput and guarantee the quality of service (QoS) of multimedia traffic in orthogonal frequency division multiplexing (OFDM) systems with smart antennas, a new packet scheduler is introduced to consider QoS requirements, packet location in the frame, and modulation level.
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