Subcarrier and power allocation with proportional fairness algorithm for LTE system

Patel, Krunal N.; Shah, Hardip K.

doi:10.1109/issp.2013.6526918

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…Therefore, in order to improve the resource efficiency, we usually need to change/adjust the equal fairness criteria for resource allocation among different competing uses in practical application. A typical method is to adopt the proportional fairness 12–16 for resource allocation. Under the proportional fairness, a weight mechanism is employed to assign the allocation weight (priority) for different competing users.…”

Section: Introductionmentioning

confidence: 99%

Achieving balance between economic efficiency and user fairness in traffic rate management

Pan

Wang

Li³

2020

Int J Communication

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SummaryThis paper studies achieving the desired balance between the resource economic efficiency and user fairness in network traffic rate allocation management. Fairness is a basic requirement of different competing traffic users, while maximizing the economic efficiency of traffic rate resource is desired by the network system resource provider. Hence, how to balance these two respects to achieve the desired trade‐off is a key challenging issue in real applications. Particularly, we propose a weight mechanism to specify the rate allocation weight ratio among different competing traffic users and also a trade‐off factor mechanism to clarify the extent of fairness compromise. To optimize the system rate resource economic efficiency, we formulate an objective optimization problem with consideration of both user weight diversity and fairness trade‐off as well. We also derive the balance curve, which shows the rate resource economic efficiency improved in relation to the extent of traffic user fairness trade‐off. The demonstration models are also constructed to implemented to implement both the trade‐off acceptable and unacceptable cases in practical traffic rate resource allocation applications.

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Section: Introductionmentioning

confidence: 99%

Achieving balance between economic efficiency and user fairness in traffic rate management

Pan

Wang

Li³

2020

Int J Communication

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“…An efficient, low-complexity suboptimal joint resource allocation algorithm was proposed to improve the transmission efficiency in [2]. Considering the fairness, literature [3] proposed a proportional fairness algorithm based on utility function to allocate subcarrier and power. However, the AAS is not considered in the aforementioned works, which cannot be directly applied to AAS aided LTE networks.…”

Section: Introductionmentioning

confidence: 99%

Resource allocation for preference-aware multicasting in active array aided LTE networks

Chu

Yang

et al. 2015

2015 International Conference on Wireless Communications &Amp; Signal Processing (WCSP)

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In this paper, we investigate a preference-aware multicast mechanism in active array aided LTE (Long Term Evolution) networks. An active antenna system can direct vertical beams in different horizontal and vertical directions, so the amount of energy delivered is more concentrated on the target users. Employing the active array, each multicast group is provided with an individual beam with specific downtilt for delivering shared video to the whole users in the group. For the multicast system, our objective is to maximize the total throughput, subject to the constraints of subcarrier, antenna downtilt, as well as horizontal angles and the vertical half power bandwidth constrains. To solve the problem, individual beams is steered for multicast groups. Furthermore, a novel subcarrier assignment scheme is proposed for saving the spectrum resource. Simulation results demonstrate the throughput and the spectral efficiency enhancement of our proposed scheme over other conditional schemes.

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A novel resource allocation scheme based on resource efficiency for LTE-A system

Huang

Wang

et al. 2015

2015 IEEE International Conference on Communication Software and Networks (ICCSN)

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Subcarrier and power allocation with proportional fairness algorithm for LTE system

Cited by 5 publications

References 2 publications

Achieving balance between economic efficiency and user fairness in traffic rate management

Achieving balance between economic efficiency and user fairness in traffic rate management

Resource allocation for preference-aware multicasting in active array aided LTE networks

A novel resource allocation scheme based on resource efficiency for LTE-A system

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