Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection

Gachhadar, Anand; Qamar, Faizan; Dong, Dhawa Sang; Majed, Mohammed B.; Hanafi, Effariza; Amiri, Iraj Sadegh

doi:10.25103/jestr.122.02

Cited by 14 publications

(5 citation statements)

References 40 publications

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“…Choosing the best transmission mode for prospective DUs once they have discovered each other is another difficult challenge in D2D communication. Although prospective DUs may be in close proximity to one another, it is possible that operating in the D2D mode is not the most efficient option for them from a performance standpoint [163]. Mode selection describes the process by which a network (eNB) and/or DUs decide whether to use D2D or cellular communication, based on certain selection parameters such as spectral efficiency and path loss, the difference in the distance among users, channel condition, D2D pairs interference, and EE [164].…”

Section: O Mode Selectionmentioning

confidence: 99%

A Survey of Resource Management in D2D Communication for B5G Networks

et al. 2023

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Due to the vast rise of users, the variety of application requirements, and the enormous necessity for ubiquitous connectivity anytime and anywhere, integration of new technologies and ideas are required. Therefore, Device to Device (D2D) communication technology has been regarded as a critical concern for Beyond Fifth Generation (B5G) networks. In the D2D technology, devices in close proximity may connect without using a Base Station (BS). Consequently, improving the capacity and performance of traditional networks. The major objectives are to accomplish a high geared data rate, increase the network coverage with low latency, and improve Energy Efficiency (EE) and Spectrum Efficiency (SE). However, the coexistence of D2D technology in the traditional network can pose many issues and challenges, such as power control, interference, spectrum access, security, and mode selection. Consequently, a comprehensive survey that includes an investigation of the current issues in D2D technology is required. In this survey, we present a new categorization of the most important aspects of resource management in B5G D2D communication, such as power allocation, spectrum allocation, interference management, and mode selection. Furthermore, we discuss the limitations and open issues of the current techniques and propose a model approach and future directions for D2D communication in B5G wireless networks. Our survey aims to assist researchers in exploring and improving D2D communication within the framework of forthcoming wireless networks.

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Section: O Mode Selectionmentioning

confidence: 99%

A Survey of Resource Management in D2D Communication for B5G Networks

et al. 2023

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“…The use of dynamic new features, e.g., network virtualization, mobile ad hoc networks (MANETs) [8], network routing [9], software-based systems, air interfaces [10], and the Internet of things (IoT) [11,12], inserts more complications into the network design [13], mobility protocols, and network operations [14]. Thus, the control, monitoring, and maintenance of different sizes of multi-tier HetNet cellular networks become more complicated with the escalating desire for wireless user facilities [15]. Although technological services such as augmented reality [16], 3D video [17], virtual reality [18], self-driving cars, drones [19], robotics, factory automation, wireless fronthaul-backhaul communication, and smart transportation would enrich the ultimate user experience and generate tremendous traffic on a daily basis, it is very hard to efficiently manage the continuously growing data requirements of such diversified services with the available technologies in the current networks [20].…”

Section: Introductionmentioning

confidence: 99%

A Study on Multi-Antenna and Pertinent Technologies with AI/ML Approaches for B5G/6G Networks

et al. 2022

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The quantum leap in mobile data traffic and high density of wireless electronic devices, coupled with the advancements in industrial radio monitoring and autonomous systems, have created great challenges for smooth wireless network operations. The fifth-generation and beyond (B5G) (also being referred to as sixth-generation (6G)) wireless communication technologies, due to their compatibility with the previous generations, are expected to overcome these unparalleled challenges. Accompanied by traditional and new techniques, the massive multiple input multiple output (mMIMO) approach is one of the evolving technologies for B5G/6G systems used to control the ever-increasing user stipulations and the emergence of new cases efficiently. However, the major challenges in deploying mMIMO systems are their high computational intricacy and high computing time latencies, as well as difficulties in fully exploiting the multi-antenna multi-frequency channels. Therefore, to optimize the current and B5G/6G wireless network elements proficiently, the use of the mMIMO approach in a HetNet structure with artificial intelligence (AI) techniques, e.g., machine learning (ML), distributed learning, federated learning, deep learning, and neural networks, has been considered as the prospective efficient solution. This work analyzes the observed problems and their AI/ML-enabled mitigation techniques in different mMIMO deployment scenarios for 5G/B5G networks. To provide a complete insight into the mMIMO systems with emerging antenna and propagation precoding techniques, we address and identify various relevant topics in each section that may help to make the future wireless systems robust. Overall, this work is designed to guide all B5G/6G stakeholders, including researchers and operators, aiming to understand the functional behavior and associated techniques to make such systems more agile for future communication purposes.

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“…Thus, to dispense user necessitate and better network performance, the researchers suggest a network's densification by deploying small cell nodes such as micro-, pico-, femto-, and relays. The intercommunication of all small cells within a macro cell is known as HetNet [25]. It is a network that supports high reliability with greater capacity of the users, less power consumption, minimum end-to-end delay, enhanced spectrum, and energy efficiencies [26].…”

Section: Introductionmentioning

confidence: 99%

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

et al. 2021

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In the modern technological world, wireless communication has taken a massive leap from the conventional communication system to a new radio communication network. The novel concept of Fifth Generation (5G) cellular networks brings a combination of a diversified set of devices and machines with great improvement in a unique way compared to previous technologies. To broaden the user's experience, 5G technology provides the opportunity to meet the people's potential necessities for efficient communication. Specifically, researchers have designed a network of small cells with unfamiliar technologies that have never been introduced before. The new network design is an amalgamation of various schemes such as Heterogeneous Network (HetNet), Device-to-Device (D2D) communication, Internet of Things (IoT), Relay Node (RN), Beamforming, Massive Multiple Input Multiple Output (M-MIMO), millimeter-wave (mm-wave), and so on. Also, enhancement in predecessor's techniques is required so that new radio is compatible with a traditional network. However, the disparate technological models' design and concurrent practice have created an unacceptable intervention in each other's signals. These vulnerable interferences have significantly degraded the overall network performance. This review article scrutinizes the issues of interferences observed and studied in different structures and techniques of the 5G and beyond network. The study focuses on the various interference effect in HetNet, RN, D2D, and IoT. Furthermore, as an in-depth literature review, we discuss various types of interferences related to each method by studying the state-of-the-art relevant research in the literature. To provide new insight into interference issue management for the next-generation network, we address and explore various relevant topics in each section that help make the system more robust. Overall, this review article's goal is to guide all the stakeholders, including students, operators, engineers, and researchers, aiming to explore this promising research theme, comprehend interferences and their types, and related techniques to mitigate them. We also state methodologies proposed by the 3 rd Generation Partnership Project (3GPP) and present the promising and feasible research directions toward this challenging topic for the realization of 5G and beyond network.

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Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection

Cited by 14 publications

References 40 publications

A Survey of Resource Management in D2D Communication for B5G Networks

A Survey of Resource Management in D2D Communication for B5G Networks

A Study on Multi-Antenna and Pertinent Technologies with AI/ML Approaches for B5G/6G Networks

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

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