2015
DOI: 10.1186/s13638-015-0329-y
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Radio resource management for uplink carrier aggregation in LTE-Advanced

Abstract: This paper investigates the uplink resource allocation problem in the context of Long-Term Evolution (LTE)-Advanced systems with carrier aggregation (CA) and dual-cluster scheduling. On one hand, these Rel'10 functionalities can increase the available transmission bandwidth and scheduling flexibility in uplink. On the other hand, they will introduce additional power back-off for the power amplifier in the user equipment (UE) with non-contiguous resource allocation. Taking into account that the uplink is inhere… Show more

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Cited by 3 publications
(5 citation statements)
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“…where B RB is the LTE-based resource block bandwidth (180 kHz) and γ ink is expressed in power ratio. Lastly, even though we focus on the uplink scenario where communications happen according to the SC-FDMA principles, we herein consider that the RBs allocated per user can be non-adjacent ( [24]) as the evolution of LTE towards 5G systems will eventually enable fully non-contiguous allocation. Considering this, we will practically provide an upper bound of the D2Dbased rate performance.…”
Section: Problem Definitionmentioning
confidence: 99%
“…where B RB is the LTE-based resource block bandwidth (180 kHz) and γ ink is expressed in power ratio. Lastly, even though we focus on the uplink scenario where communications happen according to the SC-FDMA principles, we herein consider that the RBs allocated per user can be non-adjacent ( [24]) as the evolution of LTE towards 5G systems will eventually enable fully non-contiguous allocation. Considering this, we will practically provide an upper bound of the D2Dbased rate performance.…”
Section: Problem Definitionmentioning
confidence: 99%
“…This research has addressed the two key aims of 5G systems: spectral efficiency [15][16][17][18][19][20] and energy efficiency [21][22][23][24][25]. The performance of both throughput and delay for elastic traffic in systems utilizing the mechanism of multiple-CC transmission was previously analyzed by Lei and Zheng [15].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, a method of minimizing packet transmission delay was proposed by Chung and Tsai [19], who described a quantized water-filling packet scheduling scheme with multiple-CC transmission. A study by Wang et al [20] presented a number of CC allocation schemes addressing uplink environments. In a 2013 study, the issue of how to configure users on a subset of CCs in order to provide energy-efficient transmissions was investigated by Sundaresan and Rangarajan [21], who specifically addressed the issue by considering both CC selection and packet scheduling.…”
Section: Introductionmentioning
confidence: 99%
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