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Moreover, DTBR will bring a profit for the performance of packet delay and network throughput compared with other routing algorithms.
This article studies the influence of the traffic model on the performance of packet scheduling algorithms in OFDMA systems.
In this group of simulations, we also compare the performance of packet delivery ratio and delivery delay.
The increase of performance of packet delivery ratio is exchanged by the decrease of performance for packet average delay.
Using compressed sensing decoding for packet forwarding, as in QandPFwithCS scenario, improves the performance of packet forwarding in this situation, although it cannot outperform QNC scenario.
As for the first group of simulation, in Figure 2, we illustrate the performance of packet delivery ratio on the random direction model.
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The performance of packet-level QoS provision for rtPS/ErtPS is evaluated in terms of average PDR and maximum PDR variance.
In contrast, our previous work in [5] and [7] describes a testbed setup which is designed to evaluate the performance of packet-based wireless MIMO-OFDM transmission under real-world conditions.
The performance of packet-level QoS provision is evaluated through the metrics including delay, delay jitter, BER, packet loss rate, etc., which is mainly determined by the bandwidth allocation (BA) and scheduling algorithm.
To evaluate the performance of packet-level QoS provision and system throughput using our enhanced BR scheme as well as joint resource allocation and scheduling algorithm, the scheduling algorithms in [20 22] are coupled with the traditional BR scheme of IEEE 802.16e to perform uplink transmission, which are denoted as approach1, approach2, and approach3, respectively.
Four Key Performance Indicators of packet drop ratio, delay, jitter and throughput were applied in our experiments.
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