A Novel Load-Balancing Scheme for Cellular-WLAN Heterogeneous Systems With a Cell-Breathing Technique

Navaratnarajah, Shobanraj; Dianati, Mehrdad; Imran, Muhammad Ali

doi:10.1109/jsyst.2017.2733446

Cited by 7 publications

(4 citation statements)

References 15 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main reasons are: it automatically adjusts the size of the cell, increasing the probability of coverage holes, and it implements power allocation where the LTE downlink cannot change the reference signal strength without adjusting the data power [41]. In [42], a load balancing model based on a hybrid LTE/WLAN cell breathing technique was proposed. The model allows the technique to simply associate with existing WLAN networks, similar to traditional WLAN priority network association, reducing complex coordination and additional signal overheads.…”

Section: ) Cell Breathingmentioning

confidence: 99%

Machine Learning-Based Load Balancing Algorithms in Future Heterogeneous Networks: A Survey

et al. 2022

View full text Add to dashboard Cite

The massive growth of mobile users and the essential need for high communication service quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) consisting of macro, micro, pico and femto cells. Each cell type provides different cell coverage and distinct system capacity in HetNets. This leads to the pressing need to balance loads between cells, especially with the random distribution of users in numerous mobility directions. This paper provides a survey on the intelligent load balancing models that have been developed in HetNets, including those based on the machine learning (ML) technology. The survey provides a guideline and a roadmap for developing cost-effective, flexible and intelligent load balancing models in future HetNets. An overview of the generic problem of load balancing is also presented. The concept of load balancing is first introduced, and its purpose, functionality and evaluation criteria are then explained. Besides, a basic load balancing model and its operational procedure are described. A comprehensive literature review is then conducted, including techniques and solutions of addressing the load balancing problem. The key performance indicators (KPIs) used in the evaluation of load balancing models in HetNets are presented, along with the concurrent optimisation of coverage (CCO) and mobility robustness optimisation (MRO) relationship of load balancing. A comprehensive literature review of ML-driven load balancing solutions is specifically accomplished to show the historical development of load balancing models. Finally, the current challenges in implementing these models are explained as well as the future operational aspects of load balancing.

show abstract

Section: ) Cell Breathingmentioning

confidence: 99%

Machine Learning-Based Load Balancing Algorithms in Future Heterogeneous Networks: A Survey

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Some work was introduced in the literature based on traffic transfer from heavily loaded to lightly loaded BSs in an effort to balance the load. Also using the cell breathing technique for WLAN networks, the authors in [24] optimized system throughput with constraints on UEs fairness and load balance by associating the UE to the strongest WiFi access point.…”

Section: Cell Breathing User Associationmentioning

confidence: 99%

“…The authors of [24] proposed a load-balancing scheme for an operator-deployed cellular-WLAN HetNet to optimize system throughput. The authors in [8] proposed a distributed belief propagation (BP) algorithm to optimize the weighted proportional fairness with various UE priorities.…”

Section: Other User Association Algorithmsmentioning

confidence: 99%

An Optimum User Association Algorithm in Heterogeneous 5G Networks Using Standard Deviation of the Load

Hassan

Fernando

2020

Electronics

View full text Add to dashboard Cite

Fifth-generation (5G) wireless networks and beyond will be heterogeneous in nature, with a mixture of macro and micro radio cells. In this scenario where high power macro base stations (MBS) coexist with low power micro base stations (mBS), it is challenging to ensure optimal usage of radio resources to serve users with a multitude of quality of service (QoS) requirements. Typical signal to interference and noise ratio (SINR)-based user allocation protocols unfairly assign more users to the high power MBS, starving mBS. There have been many attempts in the literature to forcefully assign users to mBS with limited success. In this paper, we take a different approach using second order statistics of user data, which is a better indicator of traffic fluctuations. We propose a new algorithm for user association to the appropriate base station (BS) by utilizing the standard deviation of the overall network load. This is done through an exhaustive search of the best user equipment (UE)–BS combinations that provide a global minimum to the standard deviation. This would correspond to the optimum number of UEs assigned to every BS, either macro or micro. We have also derived new expressions for coverage probability and network energy efficiency for analytical performance evaluation. Simulation results prove the validity of our proposed methods to balance the network load, improve data rate, average energy efficiency, and coverage probability with superior performance compared with other algorithms.

show abstract

“…For example, the authors of [11] studied energy efficiency and load balancing for the user association problem, and proposed an energy conservation algorithm for energy-efficient transmissions. In [12], a load-balancing scheme was presented for addressing the association between subscribers and available wireless local area networks (WLANs).…”

Section: Introductionmentioning

confidence: 99%

Secrecy Outage Analysis of Non-Orthogonal Spectrum Sharing for Heterogeneous Cellular Networks

Zou

Sun

et al. 2019

IEEE Trans. Commun.

View full text Add to dashboard Cite

In this paper, we investigate physical-layer security for a heterogeneous cellular network consisting of a macro cell and a small cell in the presence of a passive eavesdropper that intends to tap both the macro-cell and small-cell transmissions. Both the orthogonal spectrum sharing (OSS) and nonorthogonal spectrum sharing (NOSS) are considered for the heterogeneous cellular network. The OSS allows the macro cell and small cell to access a given spectrum band in an orthogonal manner, whereas

show abstract

A Novel Load-Balancing Scheme for Cellular-WLAN Heterogeneous Systems With a Cell-Breathing Technique

Cited by 7 publications

References 15 publications

Machine Learning-Based Load Balancing Algorithms in Future Heterogeneous Networks: A Survey

Machine Learning-Based Load Balancing Algorithms in Future Heterogeneous Networks: A Survey

An Optimum User Association Algorithm in Heterogeneous 5G Networks Using Standard Deviation of the Load

Secrecy Outage Analysis of Non-Orthogonal Spectrum Sharing for Heterogeneous Cellular Networks

Contact Info

Product

Resources

About