Interference management with adaptive fractional frequency reuse for LTE-A femtocells networks

Zhang, Weidong; Wang, Ying; Xu, Mingyue; Zhang, Ping

doi:10.1016/s1005-8885(13)60033-3

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…We are moving towards 5G technology which promises higher spectral efficiency, high peak and average data rate, ultra-low end-to-end latency (around 1 ms), ultra-dense device connection density (nearly 10 6 times), high energy efficiency in comparison with the existing wireless cellular network, decrease in cost and assured quality of experience (consistent) [4,5]. The upcoming ten enabling technologies for 5G network are identified as:…”

Section: Overview Of Small Cell Networkmentioning

confidence: 99%

An Approach to Reduce Interference Using FFR in Heterogeneous Network

Sahu

Pawar

2020

SN COMPUT. SCI.

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As the world is progressing towards 5G technology, its primary requirement is high throughput, low latency, high spectrum and energy efficiency and guaranteed QoS. High throughput is achievable when the user (UE) and the base station/Macro eNodeB (MeNB) are close to each other. This is achieved by using femtocell or Home eNodeB (HeNB). It is a kind of small cell. The femtocell needs to exist along with macrocell. Hence, they will share the resource along with the macrocell. There arises serious inter-channel and intra-channel interference (ICIC). To mitigate the interference, various solution methodologies, e.g. power control, cooperative communication and absolute blank sub-frame, can be used. In this research work, fractional frequency reuse method is discussed where the cell is segregated into centred and edge regions. All the centred, i.e. inner, regions can be assigned with the same frequency sub-band. Edge regions, i.e. outer region, can be assigned with different frequency sub-band with reuse factor of three. In this technique, ICIC can be reduced significantly. Hence, QoS can be improved and throughput of the system can also be enhanced. The outage probability can be reduced since cell-edge users are assigned with different sub-bands with high power.

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Section: Overview Of Small Cell Networkmentioning

confidence: 99%

An Approach to Reduce Interference Using FFR in Heterogeneous Network

Sahu

Pawar

2020

SN COMPUT. SCI.

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“…In [6], it has been assumed that the boundaries between the regions are fixed. However, a mechanism has been proposed in [7] to determine the boundaries with the goal of increasing the network capacity. Moreover, an innovative model has been proposed in [8] for dividing the macrocell coverage area which is called dynamic FFR (DFFR) scheme.…”

Section: Introductionmentioning

confidence: 99%

QoS‐aware downlink radio resource management in OFDMA‐based small cells networks

Aghababaiyan

Maham

2018

IET Communications

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Interference management and supporting quality of service (QoS) requirements are the main challenges for the spectral resource allocation in Orthogonal Frequency Division Multiple Access (OFDMA) small cells networks. In this paper, we propose an algorithm for assigning Physical Resource Block (PRB) with QoS constraints to eliminate interference among femtocells. We formulate our resource allocation scheme as an optimization problem where interference among femtocells is entirely avoided and multiple QoS for different services are supported. The proposed optimization problem imposes the fairness among different femtocells and maximizes the PRB efficiency. However, this problem is NP-complete, and thus, we offer a greedy algorithm for solving the problem. Simulation results show the throughput of our greedy algorithm is close to optimal solution of the optimization problem. Moreover, the proposed algorithm improves the network throughput by over 30% − 50% in different simulation scenarios with various femtocells densities in comparison to previous methods. Furthermore, simulations illustrate the rejection ratio for all classes of services is lower than 3%. Besides, the delays of different services are lower than the delay constraints.

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Improving spectrum efficiency in self-organized femtocells using learning automata and fractional frequency reuse

Nasr-Esfahani

Ghahfarokhi

2017

Ann. Telecommun.

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Interference management with adaptive fractional frequency reuse for LTE-A femtocells networks

Cited by 5 publications

References 10 publications

An Approach to Reduce Interference Using FFR in Heterogeneous Network

An Approach to Reduce Interference Using FFR in Heterogeneous Network

QoS‐aware downlink radio resource management in OFDMA‐based small cells networks

Improving spectrum efficiency in self-organized femtocells using learning automata and fractional frequency reuse

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