2015 IEEE Wireless Communications and Networking Conference (WCNC) 2015
DOI: 10.1109/wcnc.2015.7127574
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A price selective centralized algorithm for resource allocation with carrier aggregation in LTE cellular networks

Abstract: In this paper, we consider a resource allocation with carrier aggregation optimization problem in long term evolution (LTE) cellular networks. In our proposed model, users are running elastic or inelastic traffic. Each user equipment (UE) is assigned an application utility function based on the type of its application. Our objective is to allocate multiple carriers resources optimally among users in their coverage area while giving the user the ability to select one of the carriers to be its primary carrier an… Show more

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Cited by 18 publications
(17 citation statements)
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“…The RA optimization problem can be transformed into a utility maximization problem to maximize the user's satisfaction rather than the system throughput, where the user's satisfaction is represented as a function of the achieved data rate [12]. In [3], [13], [14], we have proposed a multiple stage RA with CA algorithms that use utility proportional fairness approach to allocate the primary and the secondary carriers resources optimally among mobile users in their coverage area. However, these algorithms consider optimization problems that solve for the allocated rates from the primary and secondary carriers without giving the user or the network operator the flexibility to decide on the amount of recourses to be allocated to the user by secondary carriers.…”
Section: Related Workmentioning
confidence: 99%
“…The RA optimization problem can be transformed into a utility maximization problem to maximize the user's satisfaction rather than the system throughput, where the user's satisfaction is represented as a function of the achieved data rate [12]. In [3], [13], [14], we have proposed a multiple stage RA with CA algorithms that use utility proportional fairness approach to allocate the primary and the secondary carriers resources optimally among mobile users in their coverage area. However, these algorithms consider optimization problems that solve for the allocated rates from the primary and secondary carriers without giving the user or the network operator the flexibility to decide on the amount of recourses to be allocated to the user by secondary carriers.…”
Section: Related Workmentioning
confidence: 99%
“…A multi-stage resource allocation (RA) with carrier aggregation algorithms are presented in [9]- [11]. The algorithm in [9] uses utility proportional fairness approach to allocate the primary and the secondary carriers resources optimally among mobile users in their coverage area.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, the outcome of location estimation can benefit other systems when integrated, e.g. ad-hoc networks [8], [9], networks power allocation [10]- [12] and HetNets resource allocation [13], [14].…”
Section: Introductionmentioning
confidence: 99%