Power control and group proportional fairness for frequency domain resource allocation in L-SC-FDMA based LTE uplink

Ahmed, Irfan; Mohamed, Amr

doi:10.1007/s11276-014-0845-4

Cited by 5 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The work of [19] suggests a less complex centralized scheme for joint sub-carrier pairing and allocation along with relay selection and fairness constraint in multi-user relay networks. The work of [20] proposes Virtual Cluster-based Proportional Fairness scheme that exploits the link adaptation information available at MAC layer to form virtual clusters. It ensures a minimum throughput for all users in the coverage area by assigning contiguous resource blocks, proportional to the throughput and the number of users in a particular cluster or group.…”

Section: Figure 1 Radio Resource Scheduler/allocatormentioning

confidence: 99%

Review on Radio Resource Allocation Optimization in LTE/LTE-Advanced using Game Theory

Oulaourf

Haidine²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

Recently, there has been a growing trend toward ap-plying game theory (GT) to various engineering fields in order to solve optimization problems with different competing entities/con-tributors/players. Researches in the fourth generation (4G) wireless network field also exploited this advanced theory to overcome long term evolution (LTE) challenges such as resource allocation, which is one of the most important research topics. In fact, an efficient de-sign of resource allocation schemes is the key to higher performance. However, the standard does not specify the optimization approach to execute the radio resource management and therefore it was left open for studies. This paper presents a survey of the existing game theory based solution for 4G-LTE radio resource allocation problem and its optimization.

show abstract

Section: Figure 1 Radio Resource Scheduler/allocatormentioning

confidence: 99%