An Efficient Downlink Radio Resource Allocation with Carrier Aggregation in LTE-Advanced Networks

Liao, Hong‐Sheng; Chen, Po‐Yu; Chen, Wen-Tsuen

doi:10.1109/tmc.2013.2297310

Cited by 82 publications

(72 citation statements)

References 17 publications

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“…In [27], the authors proposed a greedy method to maximize the throughput with PF packet scheduling algorithm. Their method considered link adaptation jointly with CC assignment and RB allocation.…”

Section: Related Workmentioning

confidence: 99%

“…The performance of the proposed method is compared with largest gain PF (LG-PF) [27], least load PF (LL-PF) [28], and RR scheme [9]. In [27], joint CC assignment and PF packet scheduling are implemented.…”

Section: Simulation Settingsmentioning

confidence: 99%

“…In [27], joint CC assignment and PF packet scheduling are implemented. Largest gain is considered to select the CC without considering the queue length of all CCs.…”

Section: Simulation Settingsmentioning

confidence: 99%

“…Largest gain is considered to select the CC without considering the queue length of all CCs. After assigning CC, the scheme in [27] assigns RB to the user. The scheme in [28] selects CC with lowest load and does not consider any delay or packet loss.…”

Section: Simulation Settingsmentioning

confidence: 99%

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An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

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Long term evolution-advanced (LTE-A) system introduces carrier aggregation (CA) technique to improve the user throughput by aggregating multiple component carriers (CCs). Previous research works related to downlink radio resource allocation with carrier aggregation have not considered the delay factor and the error probability. Therefore, the previous methods are unable to provide better quality of service (QoS) compared to the LTE-A standard. This paper considers the radio resource management problem by zooming into the head of line delay, probability of packet loss, and the delay threshold for different types of data. In doing this, several constraints are imposed following the specifications of LTE-A system. Hence, an improved method is developed in this study to enhance the system throughput and to maintain the computational complexity. Extensive simulations were carried out with other well-known methods to verify the overall performance of the proposed method. The result obtained indicates that the proposed method outperforms the previous methods in the measurement of average user throughput, average cell throughput, fairness index, and spectral efficiency.

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Section: Related Workmentioning

confidence: 99%

Section: Simulation Settingsmentioning

confidence: 99%

“…In [27], joint CC assignment and PF packet scheduling are implemented. Largest gain is considered to select the CC without considering the queue length of all CCs.…”

Section: Simulation Settingsmentioning

confidence: 99%

Section: Simulation Settingsmentioning

confidence: 99%

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An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

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“…The utilized bandwidth by the nodes in the network is estimated by the following equation B u = B -r k (2) Where, B u is the utilized bandwidth B is the total bandwidth Tolerance of Latency (TOL):-Along with the user's requirement of resources, the tolerance of latency (TOL) is also specified which indicates the minimum level of delay the user can expect. It ranges from 0 to 2, where 0 stands for no tolerance, 1 for medium level and 2 for highest tolerance.…”

Section: Utilized Bandwidth;-mentioning

confidence: 99%

Priority Based Fair Resource Allocation and Admission Control Technique for Multiclass Traffic in Lte-Advanced Network.

Padmapriya¹,

Saminadan.²

2017

IJAR

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In order to allocate resources for real-time traffic flows to meet their Quality of Service (QoS) requirements, Priority based fair Resource Allocation and Admission Control (PRAAC) technique forMulti-class downlink Traffic in LTE-A networks is proposed. In this technique, priority of the nodes is estimated based on the Tolerance of Latency, bandwidth and data arrival rate. This technique includes a two level resource allocation scheme, wherein the first level a radio admission control (RAC) scheme is introduced. In the second level, RAC combines the complete sharing (CS) and virtual partitioning (VP) resource allocation models. Simulation results show that the proposed technique achieves better throughput for Video and the Exponential traffic performs well when compared to CBR traffics in all aspects.Copy Right, IJAR, 2016,. All rights reserved. …………………………………………………………………………………………………….... Introduction:-The past few years have brought new possibilities that changed the mobile users' expectations regarding connectivity. New social applications, high-definition multimedia, and other services have made mobile terminals the main connectivity tool for several users, i.e., users want to have the same experience as on a fixed computer. The upcoming standard from 3rd Generation Partnership Program (3GPP) named long-term evolution advanced (LTE-A) targets the support of such high requirements services. Relaying is an appealing technology that was introduced in LTE-A to provide seamless connection and high achievable data rates to the users located in the cell-edge or in coverage holes. Relay nodes (RN) are low power evolved NodeB (eNB) which, when deployed in the macro cell, improve the signal quality between the user equipment (UE) and eNB by dividing the radio link into two hops: the so-called backhaul link between the RN and the eNB, which in this context, is referred to as the Donor eNB (DeNB), and the so-called access link between the RN and the UE [1].Resource allocation among multiple users sharing the whole spectrum bandwidth is one of the key design tasks in LTE systems. The aim here is to optimally assign resources to those users which need them, keeping in view not only their resource requirements, but also their instantaneous channel quality, instantaneous service quality, and the allocation history. Although, the presence of RN (multi-hop transmission) has proved to enhance the LTE system, it introduces some additional design challenges in the traditional resource allocation task [1]. In order to maintain minimal QoS, proper utilization of the bandwidth in the form of appropriate distribution is to be done. The resource allocation impacts on the applications utilizing the LTE network.

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Joint scheduling and mapping in support of downlink fairness and spectral efficiency in ieee 802.16e OFDMA system

Thanh

Tung

Thu

et al. 2016

Int J Communication

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SUMMARYThe next generation broadband wireless networks deploy orthogonal frequency division multiple access (OFDMA) as the enabling technologies for broadband data transmission with QoS capabilities. In such broadband wireless systems, one major issue is how to utilize radio resource efficiently while maintaining fairness between sessions as well as providing adequate QoS. In this work, we propose an approach for OFDMA/time division duplex (TDD) downlink suitable for IEEE802.16e WiMAX systems that combines scheduling and burst mapping algorithms for a trade-off between session fairness, QoS, and spectral efficiency. While optimizing radio resources under QoS and fairness constraints is an NP-hard problem, we follow a heuristic approach that simplifies the complexity of the algorithm. Performance results show that while the new scheme outperforms the Proportional Fair algorithm in terms of fairness, it also improves the overall system spectral efficiency.

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An Efficient Downlink Radio Resource Allocation with Carrier Aggregation in LTE-Advanced Networks

Cited by 82 publications

References 17 publications

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

Priority Based Fair Resource Allocation and Admission Control Technique for Multiclass Traffic in Lte-Advanced Network.

Joint scheduling and mapping in support of downlink fairness and spectral efficiency in ieee 802.16e OFDMA system

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