Component Carrier Management for Carrier Aggregation in LTE-Advanced System

Liu, Liu; Li, Mingju; Zhou, Juejia; She, Xiaoming; Chen, Lan; Sagae, Yuta; Iwamura, Masatsugu

doi:10.1109/vetecs.2011.5956228

Cited by 40 publications

(25 citation statements)

References 2 publications

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“…Results of this contribution do not present such a gain in terms of average throughput, however it presents an important increase of coverage gain. The same results are obtained analytically in [11], which proves that the cross CC proportional fair scheduler maximizes the network utility. It also improves fairness by increasing the scheduler priority of users that cannot access all CCs.…”

Section: Related Literaturesupporting

confidence: 78%

MPR-Aware Scheduler for Carrier Aggregation Transmissions in LTE Uplink

Lema

García-Lozano

Ruíz

2015

Wireless Pers Commun

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Unlike previous Long Term Evolution (LTE) releases, LTE -Advanced (LTE-A) allows the use of non-contiguous resource allocation in the uplink (UL). This feature leads to increase the spectral efficiency thanks to link performance gains obtained from frequency diversity. At the same time, non-contiguous allocations bring higher peak to average power ratio (PAPR) and so potentially higher intermodulation distortion and adjacent channel leakage-power ratio (ACLR). Power derating has been proposed as a means to avoid this problem and thus user equipments (UEs) must reduce their maximum transmitted power. However, the additional link loss on power limited UEs partially counteracts the gain brought by multi-cluster allocation. In this sense, this paper proposes to include Maximum Power Reduction (MPR) information in opportunistic scheduling decisions. The new scheduling proposal is able to determine whether multi-clustering leads to a net gain in instantaneous throughput or if localized allocation is preferred. The proposed method is compared to other scheduling techniques and it is also analyzed in different inter-site distance scenarios. Results show that considering MPR in opportunistic decisions can lead to overall cell performance improvements.

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Section: Related Literaturesupporting

confidence: 78%

MPR-Aware Scheduler for Carrier Aggregation Transmissions in LTE Uplink

Lema

García-Lozano

Ruíz

2015

Wireless Pers Commun

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“…Absolute and relative policy is proposed in [26] by considering the signal quality of the CC. Their method divided the cell coverage area into two different cells, named 'primary serving cell (PCell)' with designated primary CC and 'secondary serving cell (SCell)' with secondary CC.…”

Section: Related Workmentioning

confidence: 99%

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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“…The downlink radio resource management problems for LTE-A systems with CA configuration have been widely studied [4], [5], [6], [7], [8], [9]. The schemes that they proposed for the problems are mainly based on the following procedures.…”

Section: Related Workmentioning

confidence: 99%

“…In [6], [8], [9], the authors modified the wellknown proportional fair scheduler [7] to perform joint scheduling in order to address the scheduling problem for optimizing the radio resource usage while maintaining proportional fairness among all UEs of LTE Release 8/9 and LTE-A. The proportional fair scheduler let the system achieve high throughput and maintain proportional fairness among all UEs by giving higher priority to UEs with higher current transmission rate and lower average transmission rate in the past.…”

Section: Related Workmentioning

confidence: 99%

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

Liao

Chen

2014

IEEE Trans. on Mobile Comput.

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Abstract-In long term evolution-advanced (LTE-A) networks, the carrier aggregation technique is incorporated for user equipments (UEs) to simultaneously aggregate multiple component carriers (CCs) for achieving higher transmission rate. Many research works for LTE-A systems with carrier aggregation configuration have concentrated on the radio resource management problem for downlink transmission, including mainly CC assignment and packet scheduling. Most previous studies have not considered that the assigned CCs in each UE can be changed. Furthermore, they also have not considered the modulation and coding scheme constraint, as specified in LTE-A standards. Therefore, their proposed schemes may limit the radio resource usage and are not compatible with LTE-A systems. In this paper, we assume that the scheduler can reassign CCs to each UE at each transmission time interval and formulate the downlink radio resource scheduling problem under the modulation and coding scheme constraint, which is proved to be NP-hard. Then, a novel greedy-based scheme is proposed to maximize the system throughput while maintaining proportional fairness of radio resource allocation among all UEs. We show that this scheme can guarantee at least half of the performance of the optimal solution. Simulation results show that our proposed scheme outperforms the schemes in previous studies.

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Component Carrier Management for Carrier Aggregation in LTE-Advanced System

Cited by 40 publications

References 2 publications

MPR-Aware Scheduler for Carrier Aggregation Transmissions in LTE Uplink

MPR-Aware Scheduler for Carrier Aggregation Transmissions in LTE Uplink

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

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

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