A Time-Domain Scheduler for Intercell Interference Management in Autonomous Infrastructure Networks

Li, Yangyang; Sousa, E.S.

doi:10.1007/s11277-012-0522-9

Cited by 1 publication

(3 citation statements)

References 12 publications

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“…The last two are the proposed LDIM based approaches described in Eqs. (9) and (10), labeled as LDIM-iter-QoS and LDIM-init-QoS, respectively, which consider both the alteration of the UE association and the QoS requirements of the UEs during the power adjustment. For all methods, the obtained transmit power set is employed to our system with the practical cell selection rule, and then the results are recorded.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…Equation (9) only employs LD at the initial stage of the algorithm, called LDIM-init, while (10) deals with the power adjustment problem by employing LD at the beginning of each iteration of IMPSO, called LDIM-iter.…”

Section: The Proposed Eicic Algorithmmentioning

confidence: 99%

“…Although the eICIC schemes based on time/frequency domain resource partitioning, power/resource allocation and cell range expansion (CRE) have been studied a lot in the existing less-dense heterogeneous network (LDHetNet) [8][9][10][11][12], there lie great differences between HDHetNet and LDHetNet [13]. While the crosstier interference from the high-power macrocells is dominant in LDHetNet, the co-tier and cross-tier interference from multiple small cells to the small cells and the macrocells, respectively, is the major source of interference in HDHetNet [14].…”

Section: Introductionmentioning

confidence: 99%

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LD-IMPSO Based Power Adjustment Algorithm for eICIC in QoS Constrained Hyper Dense HetNets

Jiang

Pan

Liu

et al. 2015

Wireless Pers Commun

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This paper studies the power adjustment based interference coordination algorithm for hyper-dense heterogeneous networks. Both the quality of service (QoS) requirements of the users and the practical serving cell selection rule are considered. Each user associates with the strongest cell in respect of the downlink received power and the association alters with the power adjustment of the cells. A time-saving power adjustment based interference coordination algorithm based on the combination of Lagrange duality (LD) and improved modified particle swarm optimization (IMPSO) is proposed to maximize the system throughput while guaranteeing the QoS requirements of the users. LD is used to optimize the initial transmit power of the small cells and accelerate the speed of finding the best solution while IMPSO is employed to tackle the NP-hard power adjustment problem caused by the alteration of the user association. Simulations show that, compared with the existing algorithms, the proposed algorithm can significantly reduce the run time while greatly improving the satisfied rate of the users and the throughput of the network.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Section: The Proposed Eicic Algorithmmentioning

confidence: 99%