Downlink FTP Performance of Heterogeneous Networks for LTE-Advanced

Vajapeyam, M.; Damnjanovic, Aleksandar; Montojo, Juan; Ji, Tingfang; Wei, Yongbin; Malladi, Durga

doi:10.1109/iccw.2011.5963550

Cited by 47 publications

(14 citation statements)

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“…Traditionally, UEs are set to use the same, fixed, bias value [1,[3][4][5][6][7][8]. One reason is the fact that varying the bias value would require the measurement of the UEs' distribution, which is hard to get.…”

Section: Introductionmentioning

confidence: 99%

“…However, even if ABS is used, reference signals are still transmitted by MBS, which causes interference [7]. To eliminate this interference, proposals in the literature include using lightly loaded controlling channel transmission subframe (LLCS) [7] or interference cancelation of common reference signal (CRS-IC) [8]. In the frequency-domain approach, furthermore, the restricted transmit power of MBS on the allocated frequency to PBS is also discussed in [9].…”

Section: Introductionmentioning

confidence: 99%

“…Owing to the difficulty to set the appropriate bias value for each UE, many articles mainly discuss applying ICIC [5][6][7][8]. ICIC is realized by dividing the radio resource: between two categories of MBS and PBS, ICIC is usually realized by stopping MBS's transmission on some radio resources.…”

Section: Introductionmentioning

confidence: 99%

“…In [1], the authors discuss cell range expansion (CRE), which is a technique that adds a bias value to pico received power from PBSs during the handover as if pico cell range is expanded, and many studies focus on this topic [1,[3][4][5][6][7][8][9]. CRE can make more UEs to access the PBS even if the macro received power is stronger than the pico received power.…”

Section: Introductionmentioning

confidence: 99%

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Cell range expansion using distributed Q-learning in heterogeneous networks

Kudo

Ohtsuki

2013

J Wireless Com Network

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Cell range expansion (CRE) is a technique to expand a pico cell range virtually by adding a bias value to the pico received power, instead of increasing transmit power of pico base station (PBS), so that coverage, cell-edge throughput, and overall network throughput are improved. Many studies have focused on inter-cell interference coordination (ICIC) in CRE, because macro base station's (MBS's) strong transmit power harms the expanded region (ER) user equipments (UEs) that select PBSs by bias value. Optimal bias value that minimizes the number of outage UEs depends on several factors such as the dividing ratio of radio resources between MBSs and PBSs. In addition it varies from UE to another. Thus, most articles use the common bias value among all UEs determined by trial-and-error method. In this article, we propose a scheme to determine the bias value of each UE by using Q-learning algorithm where each UE learns its bias value that minimizes the number of outage UEs from its past experience independently. Simulation results show that, compared to the scheme using optimal common bias value, the proposed scheme reduces the number of outage UEs and improves network throughput.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cell range expansion using distributed Q-learning in heterogeneous networks

Kudo

Ohtsuki

2013

J Wireless Com Network

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“…In the literature, the joint usage of CRE and eICIC is proved to be an effective solution on improving the system throughput of HetNet in [12,13], but it is much more complicated for mathematical analysis of network capacity. Besides, if a larger CRE bias of RSRP is applied to reduce the load imbalance among different cells by the traffic offloading technology, more ABSs are needed in order to guarantee the performance of range expanded UEs.…”

Section: Introductionmentioning

confidence: 99%

Fairness guaranteed novel eICIC technology for capacity enhancement in multi-tier heterogeneous cellular networks

Zhang

Yang

Yue

et al. 2015

J Wireless Com Network

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Driven by surging demands for high data rate services and better user experiences, there is an increasing capacity demand in heterogeneous cellular networks. As one of the promising solutions for capacity enhancement, densely deployed small cells are proposed to provide a huge capacity gain and improve the user experience with high data rate services. However, the inter-cell interference among densely deployed cells is a big challenge that constraints the performance of capacity improvements in hierarchical multi-tier heterogeneous cellular networks. To minimize the inter-cell interference and achieve a fairness guaranteed solution among different users, a novel enhanced inter-cell interference coordination (eICIC) technology is proposed by jointly considering about the cell range expansion (CRE) scheme to minimize interferences among multi-tier cellular networks, improving the network throughput and quality of service (QoS). Optimal CRE bias and almost blank subframe (ABS) ratio solutions are achieved in this paper by considering the fairness among users at the center and cell edge. Moreover, the multi-objective decision-making problem is solved by maximizing the proportional fairness (PF) utility and area capacity in multi-tier heterogeneous cellular networks. Simulation results denote that a tradeoff between fairness and network throughput is achieved when CRE bias is from 8 to 12 dB and ABS ratio is from 4/8 to 6/8.

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