Permutation based load balancing technique for long term evolution advanced heterogeneous networks

Alam, Mohammed Jaber; Gafur, Abdul; Rashid, Syed Zahidur; Sadeque, Md. Golam; Kundu, Diponkor; Syed, Rosni

doi:10.11591/ijece.v12i6.pp6311-6319

Cited by 5 publications

(12 citation statements)

References 21 publications

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“…During wireless exposure to 5G, dense, heterogeneous networks may be the most common theme. However, the approach has certain drawbacks because of variations in the transfer capability of macro cells and smaller cells, which will lead to more user encounters with macro BS 20 …”

Section: User Association In Heterogeneous Networkmentioning

confidence: 99%

“…In References 5,24,33, smooth user interactions and spectrum separation between macro‐cells and smaller cells were considered. According to Reference 20, the two‐phase topology serves a specific purpose and provides information on the best spectrum classification based on a statistical study. It is more likely that 33 inputs that assure specialized functionality will be available in a normal multi‐stage network when the network has low connectivity.…”

Section: User Association In Heterogeneous Networkmentioning

confidence: 99%

“…As stated in Reference 33, user integration, 9 connection coordination and channel allocation between macro‐cells and smaller cell groups were recommended to maximize data utilization. The reduction of heterogeneous networks 7,20,27 and the increase of heterogeneous networks 42,43 have been studied in relation to user power control interaction. Users' organization and power transfer are both under constant scrutiny in the proposed algorithms 37,44,45 until integration is achieved.…”

Section: User Association In Heterogeneous Networkmentioning

confidence: 99%

“…It is also valuable for providing information on the influence of important system level factors like transmission power, density and bandwidth of different categories when constructing load balancing algorithms. Stochastic geometry 20 was used to study cell expansion and found to have a significant effect on the network parameter in a concise manner by measuring overall potential network configurations.…”

Section: Technical Approaches For Load Balancing or Fairnessmentioning

confidence: 99%

“…As a result, the organization's precise location and distribution are unaffected by modelling BS as random sites in several networks. According to Reference 20, an organizational spatial measuring method was provided, which was then utilized to distribute the load (based on the same distribution of users); as a result, the bias parameter distribution for each category may be determined 20,21 . It is possible to utilize the rate distribution to calculate the correct bias by adjusting the distribution ratio to increase as a function of the bias value.…”

Section: Technical Approaches For Load Balancing or Fairnessmentioning

confidence: 99%

See 4 more Smart Citations

An overview of LTE/LTE‐A heterogeneous networks for 5G and beyond

Alam

Hossain

Azad

et al. 2023

Trans Emerging Tel Tech

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The potential of fifth‐generation (5G) and beyond wireless connectivity is to deliver higher data rates, much lower latency, more frequent increase in channel capacity, and significant improvements in Quality of Service (QoS), compared to the current Long Term Evolution (LTE) networks. The continued growth of smart devices, the introduction of trending multimedia applications, and the dramatic increase in demand and use of wireless data communication are already causing a significant load on current mobile networks. 5G wireless networks, with enhanced user data rates, delays, capacity and QoS, are anticipated to solve many of the existing problems of mobile networks. In this study, we review the emergent wireless LTE‐A and 5G networks to provide an overview of the challenges and the solutions suggested in recent literature towards forthcoming 6G networks. We first discuss the new structural changes associated with the Radio Access Network (RAN) design, heterogeneous network and LTE or LTE‐Advanced (LTE‐A) network. To understand the challenges and research gaps in 5G and beyond networks, the paper reviews the outstanding features of the new QoS and Self‐Organization Networks (SON) related to the emerging 5G networks. Data rates, bandwidth and coverage have been given significance throughout this review because these are some major challenges towards 6G networks. Since understanding the present state of 5G usage is critical to its adoption, the paper also discusses related field tests, trials, and simulation tests. Finally, we identify existing major research problems and outline potential research areas.

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Section: User Association In Heterogeneous Networkmentioning

confidence: 99%

Section: User Association In Heterogeneous Networkmentioning

confidence: 99%

Section: User Association In Heterogeneous Networkmentioning

confidence: 99%

Section: Technical Approaches For Load Balancing or Fairnessmentioning

confidence: 99%

Section: Technical Approaches For Load Balancing or Fairnessmentioning

confidence: 99%

See 3 more Smart Citations

An overview of LTE/LTE‐A heterogeneous networks for 5G and beyond

Alam

Hossain

Azad

et al. 2023

Trans Emerging Tel Tech

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Distance‐based cell range extension and almost blank sub‐frame for load balancing and interference mitigation in 5G and beyond heterogeneous networks

Alam,

Hossain,

Chugh

et al. 2023

Engineering Reports

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The goal of deploying LTE‐Advanced heterogeneous networks is to meet the growing need for Quality of Service (QoS), high data rates, and more coverage. Load balancing is one of the biggest problems, especially when User Equipment (UE) uses received signal strength to connect to different transmission power network tiers. Spectrum for small cells has not been used to its full potential. While all the cells are using the same frequency spectrum and the small cells overlap the Macro Cells, preventing interference is another big problem. The proposed Cell Range Extension (CRE) and Almost Blank Sub‐frame (ABS) provides a solution to overcome these challenges. The proposed ABS in this paper is novel because it is a partial muting one rather than the full muting ABS in recent research studies. In addition, the cell association method is by distance rather than conventional Reference Signal Received Power (RSRP). CRE‐ABS has been applied simultaneously to solve both load balancing and interference. Simulation results show that the proposed scheme achieves substantial throughput and Jain's Fairness Index (JFI).

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Optimizing cell association in 5G and beyond networks: a modified load-aware biased technique

Alam,

Chugh,

Azad

et al. 2024

Telecommun Syst

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Cellular networks are moving towards increasing heterogeneity by deploying more small cells into macro base station (MBS) to meet rapidly growing traffic demands. To leverage the advantages of these small cells, mobile users should be offloaded onto small base stations (BSs), which will typically be lightly populated and can give a higher data rate by presenting the mobile users with many more channels than the MBS. Likewise, a more balanced cell association will lessen the pressure on the MBS, allowing it to serve its remaining users more effectively. This paper addresses the cell association challenge for Quality of Service (QoS) provisioning in terms of throughput and load-balancing for 5G and future generation networks. This problem is quite challenging because BSs have varying backhaul capacities and users have varying QoS needs. Most of the previous studies are based on reference signal received power (RSRP), signal to interference and noise ratio (SINR) or its variants and most importantly majority of them are not load-aware. Therefore, a modified load-aware biased cell association scheme based on distance is proposed to attain better QoS provisioning in terms of throughput and load-balancing. Simulation results depict that the proposed load-aware-based method outperforms conventional cell association schemes based on RSRP and its variants, and in terms of throughput and load-balancing. Furthermore, the algorithm’s complexity has been assessed through a comparison and analysis of computational time, demonstrating better performance compared to state-of-the-art techniques.

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Permutation based load balancing technique for long term evolution advanced heterogeneous networks

Cited by 5 publications

References 21 publications

An overview of LTE/LTE‐A heterogeneous networks for 5G and beyond

An overview of LTE/LTE‐A heterogeneous networks for 5G and beyond

Distance‐based cell range extension and almost blank sub‐frame for load balancing and interference mitigation in 5G and beyond heterogeneous networks

Optimizing cell association in 5G and beyond networks: a modified load-aware biased technique

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