A Generic Framework for Dynamic eICIC Optimization in LTE Heterogeneous Networks

Trabelsi, Nessrine; Roullet, Laurent; Feki, Afef

doi:10.1109/vtcfall.2014.6965814

Cited by 17 publications

(12 citation statements)

References 8 publications

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“…Currently, several papers have been published with proposals for game theory based interference mitigation for LTE/LTE-A networks. Potential game based solutions for distributed eICIC optimization are considered in [7], [19]- [21].…”

Section: Related Workmentioning

confidence: 99%

“…The main change from static ICIC is the addition of time domain partitioning schemes based on time resource partitioning to limit interference to users on the outer edge of picocells. According to the work in [19], the specification of ABS defines a pattern of sub-frames during which a macrocell should mute and as such does not send any traffic channels. The ABS mechanism is illustrated in Fig.…”

Section: A Almost Blank Subframe (Abs)mentioning

confidence: 99%

“…The strength of the power received by a user from a picocell would be artificially added by an offset, in order to offload macrocells and to ensure that more users attach to picocells. This offset is often named cell selection bias (CSB) [19]. The CSB mechanism is described in Fig.…”

Section: B Cell Selection Bias (Csb)mentioning

confidence: 99%

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eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

Moreira

Silva

Guardiero

2020

JCIS

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Resource allocation mechanisms and management of inter-cell interference coordination (ICIC) are fundamental characteristics of the LTE-A network for achieving maximum capacity. Cell densification serves as a promising candidate solution for meeting the demand posed by mobile users, as well as optimizing coverage. However, the transmit power difference between the introduced picocells and the legacy macrocells essentially leads to challenges that limits system performance, especially for those users located at the edge of the cell. As a means of providing a clear understanding, the authors thus formulate the optimization problem as game theory, in order to maximize a modified utility function, which aims at making improvements on the eICIC. Based on exact potential game formulation, we optimize almost blank subframe (ABS) and cell selection bias (CSB) settings for both macrocells and picocells in a distributed manner. Simulation results illustrate important performance gains on the service fairness of the users, and especially for cell edge users, where the averaged throughput increases by up to 51%, when compared to eICIC optimization without our modified utility function.

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Section: Related Workmentioning

confidence: 99%

Section: A Almost Blank Subframe (Abs)mentioning

confidence: 99%

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eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

Moreira

Silva

Guardiero

2020

JCIS

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“…In particular, Pang et al use dynamic programming to estimate the ABS ratio, so as to achieve high throughput and keep transmission fairness. Trabelsi et al test all possible numbers of ABSs in each period to get the best answer, but such brute‐force search is time‐consuming. Singh and Andrews model the locations of eNBs and UEs as two independent Poisson point processes and derive the best ABS ratio through probabilistic analysis.…”

Section: Related Workmentioning

confidence: 99%

Efficient coordination of almost blank subframes with coupling macro cells in heterogeneous networks

Wang

Huang

2019

Int J Communication

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Heterogeneous networking is an inevitable trend in mobile communication systems, where macrocells and small cells coexist to provide the service of wireless access. The technique of enhanced inter-cell interference coordination (eICIC) is popularly used to mitigate signal interference among cells. A number of subframes are picked as almost blank subframes (ABSs), during which a macro-cell base station suspends data transmissions to improve signal quality of small cells that it covers. Since the throughput of macro cells drops to zero in an ABS, how to decide the number of ABSs (ie, the ABS ratio) and their positions (ie, the ABS placement) is critical. Many studies implicitly consider that every small cell resides in only one macro cell and they manage ABSs for each individual macro cell accordingly. In practice, some macro cells may cover the same small cells (called coupling macrocells) which makes the management of their ABSs depend on each other. To address this issue, the paper proposes an efficient coordination of ABS with coupling macro cells (ECO) algorithm. It divides the network into component subnetworks depending on whether macro cells are coupling or not. Then, ECO computes the ABS ratios for the macro cells in each component subnetwork based on multiple factors, including data rate, traffic demand, and quality of service (QoS) support. Moreover, ECO jointly places the ABSs of coupling macro cells to shorten packet latency. Experimental results show that the ECO algorithm not only increases the network throughput but also reduces the loss rate of real-time data. KEYWORDS almost blank subframe (ABS), coupling macro cells, heterogeneous network, interference management Int J Commun Syst. 2020;33:e4256.wileyonlinelibrary.com/journal/dac

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“…Most previous work on this topic is limited to ABS-based eICIC networks, with a focus mainly on disjoint optimization of CSO and ABS parameters [1] − [4]. The work in [1] provides insight on joint optimization, but does not provide an objective function to optimize both network capacity and user rate fairness. Further, the performance efficiency of proposed algorithms thus far is not clear for practical large networks.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Framework for LTE eICIC and Reduced Power eICIC

Alfarhan

Lerbour

Helloco

2015

2015 IEEE Global Communications Conference (GLOBECOM)

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enhanced Inter-Cell Interference Coordination (eICIC) is used in LTE heterogeneous networks to reduce interference in the small cell expansion region. Service areas of small cells are often expanded by a Cell Selection Offset (CSO) to increase their traffic uptake and offload macro cell traffic. eICIC relies on Almost Blank Subframes (ABS) or Reduced Power Almost Blank Subframes (RP-ABS) to manage interference between macro and small cellular layers. Gains achieved from deploying intra-carrier small cells are highly dependent on the optimization of eICIC parameters. This paper provides a novel optimization formulation to achieve optimal small cell CSOs and macro cell ABS or RP-ABS patterns. The performance of the outlined optimization framework is evaluated by state-of-the-art LTE system level simulations. Simulation results indicate an average network capacity gain of 19.4% from optimizing ABSeICIC parameters, and a 22.8% gain from optimizing RP-ABSeICIC parameters. Similarly, a 42.2% average gain in user data rates is achieved from optimizing ABS-eICIC parameters, and a 45.9% gain from optimizing RP-ABS-eICIC parameters.

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A Generic Framework for Dynamic eICIC Optimization in LTE Heterogeneous Networks

Cited by 17 publications

References 8 publications

eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

Efficient coordination of almost blank subframes with coupling macro cells in heterogeneous networks

An Optimization Framework for LTE eICIC and Reduced Power eICIC

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