2015
DOI: 10.1186/s13638-015-0398-y
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Buffer-aware adaptive resource allocation scheme in LTE transmission systems

Abstract: Dynamic resource allocation scheme is a key component of 3GPP long-term evolution (LTE) for satisfying quality-of-service (QoS) requirement as well as improving the system throughput. In this paper, a buffer-aware adaptive resource allocation scheme for LTE downlink transmission is proposed for improving the overall system throughput while guaranteeing the statistic QoS and keeping certain fairness among users. Specifically, the priorities of the users' data queues in the base station are ranked by their remai… Show more

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Cited by 11 publications
(5 citation statements)
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References 29 publications
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“…Both DRWA and ARWA take less time to transfer a packet from the source to destination and maintain a less number of packets in user queue at eNodeB. e average packet delay of the ARWA method is slightly more than DRWA, but the packet delay is within the standard QCI limit [5]. e throughput of ARWA is improved by 23.68-35.41% compared to the DRWA method, and the delay of ARWA is reduced by 78.87-90% compared to the autotuning method.…”
Section: Estimation Of Network Congestion At the Receiver Sidementioning
confidence: 99%
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“…Both DRWA and ARWA take less time to transfer a packet from the source to destination and maintain a less number of packets in user queue at eNodeB. e average packet delay of the ARWA method is slightly more than DRWA, but the packet delay is within the standard QCI limit [5]. e throughput of ARWA is improved by 23.68-35.41% compared to the DRWA method, and the delay of ARWA is reduced by 78.87-90% compared to the autotuning method.…”
Section: Estimation Of Network Congestion At the Receiver Sidementioning
confidence: 99%
“…us, there is overflow of RLC queues due to the large volume of traffic in a short period of time leading to high delay resulting in poor performance. To guarantee high throughput and low delay during congestion, the researchers have proposed various methods such as buffer-aware scheduling [5][6][7][8], active queue management (AQM) techniques [9][10][11][12], receiver window control [13][14][15], loss-based congestion control [16][17][18], delay-based congestion control [16,19,20], rate-based congestion control [4,20,21], admission and congestion control [22][23][24][25], and resource starvation [26][27][28].…”
Section: Introductionmentioning
confidence: 99%
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“…We carry out a simulation in order to investigate the effect of the customized intra-slice resource allocation under the proposed dynamic slice resource provisioning framework in a virtualized radio access network for heterogeneous traffics. In this simulation, the proposed shape-based resource allocation algorithm is benchmarked against MaxSinr scheme [34] and Buffer-Length aware dynamic resource allocation scheme [35] under the common resource slicing scheme proposed in the paper. The slice-level satisfaction ratio is derived by computing the total number of users that have been satisfied divided by the total number of users in each slice in equation (6).…”
Section: Performance Comparison Over User Populationmentioning
confidence: 99%
“…In such scenarios, for reducing buffer overflow incidents, a buffer-aware source rate control mechanism can be exploited to adjust the traffic load in the network [17]. Also, buffer-aware resource allocation methods similar to [18] can be employed to efficiently serve the system queues. Then, considering the discussions presented in this paper as well as the probability of repeated transmissions, the end-to-end packet delay can be investigated for conventional and buffer-aided relaying systems with finite buffer capacities in the BS and relay.…”
Section: Introductionmentioning
confidence: 99%