A dynamic CRE and ABS scheme for enhancing network capacity in LTE-advanced heterogeneous networks

Lee, Chung-Nan; Lin, Jixing; Wu, Chih-Feng; Lee, Ming-Feng; Yeh, Fu-Ming

doi:10.1007/s11276-018-1723-2

Cited by 9 publications

(10 citation statements)

References 11 publications

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“…Another metric is based on considering the small-cell users located in the CRE when applied as victim users and small-cell users in the main vicinity before applying CRE as nonvictim users, this metric is termed as CRE-based or CRE. The CRE technique allows the users to associate with the BS with lower SINR [30]. It is considered as an effective mechanism for traffic offloading to increase the total system capacity.…”

Section: Analysis Of Simulation Resultsmentioning

confidence: 99%

Heterogeneous Cloud Radio Access Networks: Enhanced Time Allocation for Interference Mitigation

Al-Samman

Almesaeed

Doufexi

et al. 2018

Wireless Communications and Mobile Computing

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Responding to the unprecedented challenges imposed by the 5G technologies, mobile operators have given significant attention to Heterogeneous Cloud Radio Access Networks (H-CRAN) due to their beneficial features of performing optimization, cost effectiveness, and improving spectral and energy efficiency performance. H-CRAN inherits the attractive benefits of Heterogeneous Networks (HetNet) and the cloud computing by facilitating interference mitigation, scalability, and radio resource control. Consequently, H-CRAN is proposed in this article as a cost-effective potential solution to alleviate intertier interference and improve cooperative processing gains in HetNets by employing cloud computing. H-CRAN can provide efficient resource sharing at the spectrum, network, and infrastructure levels. Therefore, this article proposes H-CRAN cooperative interference mitigation method that enhances the time sharing among Radio Remote Heads (RRH) users. The study proposes an enhanced Almost Blank Subframe (ABSF) technique to increase the SINR and throughput of the small-cell (low power base station) and macrocell users. Simulation results show that the proposed Dynamic Programming-Diverse Almost Blank Subframe (ABSF) Pattern (DP-DAP) scheme improved the macro- and small-cell users up to 56% and 35%, respectively, as compared to other state-of-the-art ABSF schemes.

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Section: Analysis Of Simulation Resultsmentioning

confidence: 99%

Heterogeneous Cloud Radio Access Networks: Enhanced Time Allocation for Interference Mitigation

Al-Samman

Almesaeed

Doufexi

et al. 2018

Wireless Communications and Mobile Computing

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“…First of all, heterogeneity deals with the concurrent use of different radio access networks (RANs), as in [25]. Enhancements in deployment, interference mitigation, and resources utilization are pointed out as main research topics for heterogeneous cloud RANs [26,27]. As a matter of illustration, Wang et al [28] make a deeper approach to the development of ultra-dense heterogeneous networks (HetNets).…”

Section: Related Workmentioning

confidence: 99%

Model of a Device-Level Combined Wireless Network Based on NB-IoT and IEEE 802.15.4 Standards for Low-Power Applications in a Diverse IoT Framework

García-Martín

Torralba

2021

Sensors

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With the development of the Internet of Things (IoT), Low Data Rate-Personal Area Networks (LR-WPAN) have been deployed for different applications. Now comes the need to integrate these networks in search of greater connectivity, performances, and geographic coverage. This integration is facilitated by the recent deployment of low power wide area networks (LPWAN) in the licensed bands, especially narrowband IoT (NB-IoT) and long-term evolution for machine-type communications (LTE-M), which are standardized technologies that will continue evolving as part of the fifth generation (5G) specifications. This paper proposes a design methodology for combined networks using LR-WPAN and LPWAN technologies. These networks are combined at the device level using a cluster-tree topology. An example is shown here, where an existing IEEE 802.15.4 network is combined with NB-IoT. To this end, new dual nodes are incorporated, acting as cluster heads. The paper discusses the different aspects of formation and operation of the combined network. A dynamic link selection (DLS) algorithm is also proposed, based on which cluster headers dynamically determine the preferred link, depending on link quality and type of traffic. Extensive simulations show that the DLS algorithm significantly increases battery life on dual nodes, which are the nodes with the highest power demands.

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“…We obtain the distributions of rate, spectral and energy efficiency and use them to optimize the cell range expansion bias and resource allocation parameters. There are several studies in the literature investigating the optimal selection of resource allocation parameters, range expansion bias values and user associations such as [20][21][22][23][24][25]. The HetNet models used in these papers are similar to the HetNet deployment we use in this study.…”

Section: Related Workmentioning

confidence: 99%

“…In our study, by using the analytically derived data rate CDF, we optimize the system in terms of tenth percentile rate which also considers the fairness whereas maximizing the sum rate does not take fairness into account. In [22], instantaneous CDF of SINR is used to dynamically optimize the bias and time resource sharing parameter. The benefits of the proposed method on throughput is investigated by simulations.…”

Section: Related Workmentioning

confidence: 99%

“…The benefits of the proposed method on throughput is investigated by simulations. Instead of using an analytical model in order to obtain SINR CDF as we have done in this paper, [22] assumes that pico BSs collect the real SINRs of the users and use these values to calculate the optimal system parameters. In [23,24], several radio resource management and interference coordination schemes with various CRE bias values are evaluated via simulations for a HetNet model.…”

Section: Related Workmentioning

confidence: 99%

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Downlink data rate, energy and spectral efficiency distribution in heterogeneous networks with cell-edge located small cells

Yenihayat

Karasan

2019

Wireless Netw

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In this paper, the probability distributions of per user downlink data rate, spectral efficiency (SE) and energy efficiency (EE) are analytically derived for a heterogeneous network model with cell-edge located small cells. The high accuracies of analytically derived cumulative distribution functions (CDF) are verified using distributions obtained via simulations. CDF expressions are then used in order to optimize key performance indicators (KPI) which are selected here as 10th percentile downlink data rate (R 10), spectral efficiency (SE 10) and energy efficiency (EE 10). In addition to optimizing KPIs separately, we also investigate the variation of the KPIs with respect to each other employing the analytically derived distributions. The results show that the resource allocation parameter values maximizing R 10 are very close to the values that maximize EE 10. However, the values that are optimal for EE 10 and R 10 are not optimal for SE 10 , which demonstrates the EE and SE trade-off in HetNets.

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A dynamic CRE and ABS scheme for enhancing network capacity in LTE-advanced heterogeneous networks

Cited by 9 publications

References 11 publications

Heterogeneous Cloud Radio Access Networks: Enhanced Time Allocation for Interference Mitigation

Heterogeneous Cloud Radio Access Networks: Enhanced Time Allocation for Interference Mitigation

Model of a Device-Level Combined Wireless Network Based on NB-IoT and IEEE 802.15.4 Standards for Low-Power Applications in a Diverse IoT Framework

Downlink data rate, energy and spectral efficiency distribution in heterogeneous networks with cell-edge located small cells

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