A joint resource allocation and link adaptation algorithm with carrier aggregation for 5G LTE-Advanced network

Rostami, Soheil; Arshad, Kamran; Rapajic, P.B.

doi:10.1109/ict.2015.7124665

Cited by 31 publications

(30 citation statements)

References 8 publications

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“…Channel dependent packet schedulers are more accurate in real life scenarios as they consider more parameters than channel independent schedulers. Most of the previous researchers have used proportional fairness (PF) [5][6][7], Round Robin (RR) [8,9] and other algorithms [10][11][12][13][14][15][16][17] for resource allocation with CA in an LTE-A system. However, some important parameters, such as packet delay or error rate are not considered.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

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“…Some resource scheduling and management schemes have been proposed for LTE systems in the last several years [18]- [22]. A special simulation platform was developed for a cognitive LTE system [23], and SA is an important technology in the 5G mobile communication system [24].…”

Section: Related Workmentioning

confidence: 99%

Spectrum Aggregation Scheme in a Wireless Broadband Data Transceiver System

Guo¹,

Zhang²,

Guang-nian³

et al. 2018

International Journal of Robotics and Automation

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This paper investigates the design of a wireless broadband data transceiver (WBDT) system. The WBDT system works on hundreds of narrowband discrete channels. Cognitive radio (CR) technology is adopted to detect idle channels. Discrete channels are aggregated into large frequency bands to provide higher transmission capability than traditional wireless data transceivers (WDTs). Guard gaps are used to avoid interference among WBDTs/WDTs working on adjacent channels according to existing WDT standards. To make full use of the idle channels, a new spectrum aggregation (SA) method, maximum space first assignment (MSFA), is proposed after analysing the performance of the WBDT system. MSFA provides a way to reduce the negative effect of the guard gap. The simulation and analysis results show that the novel system architecture and MSFA improve spectral efficiency.

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“…The Q-value is found and updated according to the rule in (15). The global Q-value found in (16) is decomposed into a linear combination of local agent-dependent Q-values: Q(s, a) = Y y=1 Q y (s, a).…”

Section: Online Resource Allocationmentioning

confidence: 99%

A cooperative online learning scheme for resource allocation in 5G systems

AlQerm

Shihada

2016

2016 IEEE International Conference on Communications (ICC)

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CitationAlQerm I, Shihada B (2016) A cooperative online learning scheme for resource allocation in 5G systems.Abstract-The demand on mobile Internet related services has increased the need for higher bandwidth in cellular networks. The 5G technology is envisioned as a solution to satisfy this demand as it provides high data rates and scalable bandwidth. The multi-tier heterogeneous structure of 5G with dense base station deployment, relays, and device-to-device (D2D) communications intends to serve users with different QoS requirements. However, the multi-tier structure causes severe interference among the multi-tier users which further complicates the resource allocation problem. In this paper, we propose a cooperative scheme to tackle the interference problem, including both cross-tier interference that affects macro users from other tiers and co-tier interference, which is among users belong to the same tier. The scheme employs an online learning algorithm for efficient spectrum allocation with power and modulation adaptation capability. Our evaluation results show that our online scheme outperforms others and achieves significant improvements in throughput, spectral efficiency, fairness, and outage ratio.

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A joint resource allocation and link adaptation algorithm with carrier aggregation for 5G LTE-Advanced network

Cited by 31 publications

References 8 publications

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

Spectrum Aggregation Scheme in a Wireless Broadband Data Transceiver System

A cooperative online learning scheme for resource allocation in 5G systems

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