User Association Strategy for Energy Efficiency and Interference Mitigation of Heterogeneous Networks

Achki, Samira; Aziz, Layla; Gharnati, Fatima; Ouahman, Abdellah Ait

doi:10.1155/2020/7018727

Cited by 8 publications

(8 citation statements)

References 29 publications

(25 reference statements)

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“…Furthermore, when state-of-the-art methods failed to maintain the MUE's minimum necessary capacity due to significant co-tier and cross-tier interference, the suggested technique provided a minimum MUE capacity of 2 b/s/Hz, which is double the minimum required QoS threshold. In [145], the authors looked into energy-efficient UA and IM in 5G HetNets. They considered SINR, power usage, and user distance at the same time for UA and proposed a new algorithm which associated UEs with BSs based on their cost values.…”

Section: Combined Approaches For Rrm In 5g Hetnetsmentioning

confidence: 99%

A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

Agarwal

Togou

Ruffini

et al. 2022

IEEE Commun. Surv. Tutorials

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The 5G network technologies are intended to accommodate innovative services with a large influx of data traffic with lower energy consumption and increased quality of service and user quality of experience levels. In order to meet 5G expectations, heterogeneous networks (HetNets) have been introduced. They involve deployment of additional low power nodes within the coverage area of conventional high power nodes and their placement closer to user underlay HetNets. Due to the increased density of small-cell networks and radio access technologies, radio resource management (RRM) for potential 5G HetNets has emerged as a critical avenue. It plays a pivotal role in enhancing spectrum utilization, load balancing, and network energy efficiency. In this paper, we summarize the key challenges i.e., cross-tier interference, co-tier interference, and user association-resource-power allocation (UA-RA-PA) emerging in 5G HetNets and highlight their significance. In addition, we present a comprehensive survey of RRM schemes based on interference management (IM), UA-RA-PA and combined approaches (UA-RA-PA + IM). We introduce a taxonomy for individual (IM, UA-RA-PA) and combined approaches as a framework for systematically studying the existing schemes. These schemes are also qualitatively analyzed and compared to each other. Finally, challenges and opportunities for RRM in 5G are outlined, and design guidelines along with possible solutions for advanced mechanisms are presented.

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Section: Combined Approaches For Rrm In 5g Hetnetsmentioning

confidence: 99%

A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

Agarwal

Togou

Ruffini

et al. 2022

IEEE Commun. Surv. Tutorials

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“…After looking at the Table 1 and going through past literature [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] to the best of the author's knowledge, it is concluded that joint users association and EE maximization for effective radio resource management in HetNets with macro and small cells assisted by relays and D2D has not been explored in the past. The main contributions of the proposed work are summarized below:…”

Section: Motivation and Contributionsmentioning

confidence: 99%

“…The varying size of virtual resources can reduce the footprint of cloud users 26 . Reducing the energy usage and interference of mobile devices using a weighted factor in HetNets has been investigated in Achki et al 27 Overall total data rate has been maximized by allocating bandwidth to each user based on their requirements 28 . User association and resource allocation with decoupled access are explored in HetNets 29 .…”

Section: Introductionmentioning

confidence: 99%

“…After looking at the Table 1 and going through past literature 14‐32 to the best of the author's knowledge, it is concluded that joint users association and EE maximization for effective radio resource management in HetNets with macro and small cells assisted by relays and D2D has not been explored in the past. The main contributions of the proposed work are summarized below: We give mathematical formulation for the joint user and EE maximization in HetNets with macro and small cell assisted by relay and D2D. Formulated problem is concave fractional programming (CFP) and is converted into a concave optimization problem with the help of Charnes‐Cooper Transformation. Mesh Adaptive Direct Search (MADS) algorithm has been used to get optimized solution of formulated problem. Results can be verified from the comparison between MADS and outer approximation algorithm (OAA) where the solution of both algorithms confirms the superiority of the MADS algorithm. …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint user association and energy efficiency maximization in beyond 5G heterogeneous networks

Shahzad

Ali

Khan

et al. 2022

Int J Communication

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Heterogeneous networks (HetNets) seem to be the future of data networks supported by macrocells, small cells, relays, and D2D communication. The main purpose of HetNets is to facilitate maximum users while keeping energy efficiency (EE) to its peak. In this research work, we have formulated joint users association and EE maximization problem for HetNets, where our main goal is to increase the number of users associated with HetNets while keeping EE to its maximum. Formulated problem is a concave fractional problem in nature. We have used Charnes-Cooper Transformation to convert it to the concave optimization problem. We have used the (MADS) algorithm to solve the formulated optimization problem. Results have been analyzed after extensive simulations. Performance of MADS algorithm have been shown with respect to different system parameters, that is, the number of users associated, the minimum required data rate, and joint maximization of users associated and EE.

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“…There have been multiple efforts from researcher to optimize the performance of SC HetNets in terms of reliability, coverage and capacity, throughput, and low complexity by mitigating the co-tier and cross-tier interferences since the last few years [15]- [25]. Most of the effective interference mitigation schemes are based on power control [15]- [19], user context information and load balancing among the network tiers by efficient user association [20]- [25]. Most of these schemes either handled only co-tier or cross-tier interference or could not provide the minimum required QoS and QoE to all users associated with different network tiers [5].…”

Section: Introductionmentioning

confidence: 99%

Interference Mitigation in HetNets to Improve the QoS Using Q-Learning

2021

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Small cells (SCs) based ultra-dense heterogeneous networks (HetNets) are one of the promising solutions for increased coverage and capacity in 5G cellular networks. However, in multi-tiered architecture, co-tier and cross-tier interferences are both performance-limiting factors. Efficient resource allocation techniques can handle interferences effectively, however, their complexity linearly increases with the density of the HetNets resulting from dynamic and unplanned deployment of SCs. Therefore, HetNets can be implemented only through an algorithm that is self-organizing and adaptive to the dynamic conditions. In this research paper, a Q-Learning (QL) based adaptive resource allocation scheme is proposed and evaluated for SC-based ultra-dense HetNets. This QL scheme allocates optimal power to the small cell base station (SBS) to meet the minimum required capacity of macrocell user equipment (MUEs) and the small cell user equipment (SUEs) to provide quality of service (QoS). The proposed QL scheme not only maintains the minimum required capacities of the MUEs and SUEs but has also shown a significant improvement in the capacities of MUEs and SUEs in high interference scenarios as compared to the prior works. In the high co-tier and cross-tier interference scenario, where the state of the art schemes fail to maintain the minimum required capacity of the MUE, the proposed scheme provides a minimum MUE capacity of 2 b/s/Hz, which is twice the minimum required QoS threshold. In a similar way, the proposed solution guarantees QoS up to 16 SCs which are 37.5% more SC than the previously reported works in high interference scenario while maintaining a minimum SUE capacity of 1.5 b/s/Hz, which is 33% higher than the minimum required QoS threshold. By simultaneously mitigating co-tier and cross-tier interferences in ultra-dense HetNets, the proposed solution not only improved the minimum capacities of MUEs and SUEs but also sets a new benchmark for minimum QoS threshold.

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User Association Strategy for Energy Efficiency and Interference Mitigation of Heterogeneous Networks

Cited by 8 publications

References 29 publications

A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

Joint user association and energy efficiency maximization in beyond 5G heterogeneous networks

Interference Mitigation in HetNets to Improve the QoS Using Q-Learning

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