A study on cell association in heterogeneous networks with joint load balancing and interference management

Chinipardaz, Maryam; Noorhosseini, Majid

doi:10.1007/s11235-016-0272-1

Cited by 7 publications

(16 citation statements)

References 40 publications

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“…Different scenarios that intensify various types of ICI in heterogeneous networks are detailed in our previous paper. 7 Interference faced by cell components is the most significant cause of capacity and achievable rates reduction in cellular networks. 6,10 Managing ICI is therefore a key challenge in OFDMA-based multitier cellular networks.…”

Section: Intercell Interference Managementmentioning

confidence: 99%

“…Based on the interference model, constraint (6) causes every user i to be connected only to BSs that are members of BI i . Interference management is modeled by preventing simultaneous interfering transmissions by constraint (7).…”

Section: Cell and Subband Association Aiming At Network Utility Maximmentioning

confidence: 99%

“…Subsequently, every two neighboring BSs exchange information about their selected connections. If there is interference between the two selected connections on a subband according to (7), they select the connection with the highest desirability while eliminating the other.…”

Section: The Distributed Protocol Designmentioning

confidence: 99%

“…Different factors intensify the ICI in heterogeneous networks than in single‐tier networks, including access restrictions of some BSs, applying load balancing techniques, and the possibility of harmful interference for all users rather than only the cell‐edge users. Different scenarios that intensify various types of ICI in heterogeneous networks are detailed in our previous paper …”

Section: Introductionmentioning

confidence: 99%

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Joint distributed cell association and interference management in OFDMA‐based heterogeneous networks

Chinipardaz

Noorhosseini

2018

Trans Emerging Tel Tech

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Considering the ever‐growing demand for network traffic, increasing the capacity of cellular networks has always been a necessity. Heterogeneous cellular networks using small‐scale base stations in addition to macro base stations (BSs) are a low cost and effective solution to this problem. The diversity of the BSs in heterogeneous networks, however, has raised new issues in terms of cell association and interference management compared with the traditional single‐tier networks. Devising novel and effective methods for cell association and resource allocation in these networks is currently an open and developing problem. This paper addresses cell and subband association in the downlink of orthogonal frequency‐division multiple‐access heterogeneous networks. Unlike the existing works in this field, our scheme maximizes network utility while preventing harmful interference for all connections in the network. Using the protocol interference model, necessary and sufficient constraints for preventing interference in cellular networks are presented. By choosing the appropriate interference constraint, the joint problem of cell and subband association is formulated as an integer optimization problem. After simplifying the optimization problem, an equivalent linear problem is obtained. Using one‐level dual decomposition, an iterative algorithm with a near‐optimal solution has been devised. A distributed protocol is then presented, in which each user and each BS requires only its own local data to determine its connection for service. The simulation results demonstrate the algorithm behavior and confirm the efficiency and near‐optimality of the proposed solution.

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Section: Intercell Interference Managementmentioning

confidence: 99%

Section: Cell and Subband Association Aiming At Network Utility Maximmentioning

confidence: 99%

Section: The Distributed Protocol Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Joint distributed cell association and interference management in OFDMA‐based heterogeneous networks

Chinipardaz

Noorhosseini

2018

Trans Emerging Tel Tech

Self Cite

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“…They are all moving toward Heterogeneous Networks (HetNets) due to their capability to support flexibility of resource management, high-speed connections, and integration of distinct access technologies including massive MIMO. [1] [2] Apart from this, massive machine-type communication (mMTC) is expected to play a pivotal role in emerging 5G networks. Considering the dense deployment of small cells and the existence of heterogeneous cells, an MTC device can discover multiple cells for association.…”

Section: Introductionmentioning

confidence: 99%

Diverse Cell Association Schemes for Fifth-Generation Wireless Networks

Ray*,

Bhattacharyya

2020

IJRTE

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One of the underlying challenges in infrastructure-based multi-cell wireless networks is ensuring the proper association of a particular mobile User Equipment (UE) to the appropriate base stations (BSs). In the network terminology, this is usually referred to as cell association, user association, cell selection, or BS assignment. For now, the term cell association will be used for further discussion within this paper. In a wireless network with dense deployment of the base stations (BSs), the number of potential BSs with which a UE can be associated increases significantly with the increasing network complexity. The network densification demands the need for designing optimal or distributed cell association schemes. This is because, in case of improper association of UEs with BSs, it may result in increased interference, reduced throughput, inefficient energy consumption, load imbalance and higher latency in both uplink and/or downlink. 5G cellular networks aim to improve the connection speed and provide ultra-low latency through heterogeneous environments. While maintaining these parameters, the Quality of Service (QoS) needs to be maintained along with a sustained data rate. In such a case, the design of efficient cell association scheme for smooth flow of the traffic in the network is a real challenge which needs to be tackled. The aim of this paper is to study cell association techniques for 5G and beyond wireless networks, analyze the benefits of the methods and propose evolved and better solutions for cell association schemes.

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Mobility Load Balancing over Intra-frequency Heterogeneous Networks Using Handover Adaptation

Jouini¹,

Escheikh²,

Barkaoui³

et al. 2017

Lecture Notes in Computer Science

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A study on cell association in heterogeneous networks with joint load balancing and interference management

Cited by 7 publications

References 40 publications

Joint distributed cell association and interference management in OFDMA‐based heterogeneous networks

Joint distributed cell association and interference management in OFDMA‐based heterogeneous networks

Diverse Cell Association Schemes for Fifth-Generation Wireless Networks

Mobility Load Balancing over Intra-frequency Heterogeneous Networks Using Handover Adaptation

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