A novel handover decision-making algorithm for HetNets

Habibzadeh, A.; Moghaddam, Shahriar Shirvani; Razavizadeh, S. Mohammad; Shirvanimoghaddam, Mahyar

doi:10.1109/isspit.2015.7394375

Cited by 13 publications

(7 citation statements)

References 13 publications

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“…Numerical results demonstrate that RSS−α enhances the system performance in terms of the probability of assigning mobile stations to femtocells with the same number of HOs [38]. Habibzadeh et al proposed a decision-making handover algorithm for HetNets in [39]. The decision is made based on the received signal strength and the traffic metric.…”

Section: Related Workmentioning

confidence: 99%

An Adaptive Cell Selection Scheme for 5G Heterogeneous Ultra-Dense Networks

Alablani

Arafah

2021

IEEE Access

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Fifth-generation (5G) cellular networks are a promising technology to meet the rapid growth in wireless traffic. Small cells are critical in fulfilling the requirements of 5G networks. A heterogeneous ultra-dense network (HUDN) is an enabling technology consisting of several types of small cells to enhance the performance of 5G networks effectively. A critical issue of HUDN is the cell selection method because the traditional technique for cell selection is inapplicable in such a network. This study proposes a novel adaptive cell selection (ADA-CS) scheme. It adapts to various characteristics of HUDNs and vehicle movements. It performs six phases to select the best base station with which to be associated. Simulation results show that, with low-and medium-speed vehicles, the ADA-CS scheme outperforms the traditional protocol in terms of the average number of handovers by 42.39%. In addition, it is superior to some relevant recent schemes by up to 36.53%. The adaptation feature of the proposed protocol provides additional improvements regarding the average number of handovers with high-speed vehicles. Therefore, it achieves superiority in terms of the average number of handover failures and unnecessary handovers. In addition, the ADA-CS scheme enhances the average achievable downlink data rates and spectral efficiency per vehicle by 3.98% and 2.79% compared with the traditional and the relevant recent schemes.

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Section: Related Workmentioning

confidence: 99%

An Adaptive Cell Selection Scheme for 5G Heterogeneous Ultra-Dense Networks

Alablani

Arafah

2021

IEEE Access

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“…• Offloading and handover due to traffic load or propagation conditions [32,33] in the form of VHO, horizontal handover (HHO), and SHO…”

Section: Cr-based Hetnetsmentioning

confidence: 99%

Introductory Chapter: Primary and Secondary Users in Cognitive Radio-Based Wireless Communication Systems

Moghaddam¹

2018

Cognitive Radio in 4g/5g Wireless Communication Systems

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Additional information is available at the end of the chapter 1. Wireless communications and the necessity of cognitive radio Wireless communication systems play a special role in human life, facilitate the life, and change the world much more in the future. The diversity of applications and services of wireless communications indicates the widespread use of wireless systems and equipment in the future. Since the first radio link by Marconi in 1896, it has been more than 120 years, and several wireless communication systems have been introduced up to now. Meanwhile, the advancement of cellular wireless communications, whose idea came back to 1947 and their first generation in 1978 (namely advanced mobile phone service), has been well adopted and has grown dramatically, so that the researchers and operators are focused on standardization and design of 5G and 6G wireless communication systems [1]. From the beginning, one of the main problems in wireless communications is the scarcity of radio resources (frequency, time, and power). In recent years, the lack of frequency spectrum and the necessity of frequency reuse at different times and places and reduction of the consumed power are of great importance. Looking at the following laws: • Moore's law: The number of transistors that can be cheaply placed on a microchip doubles and the computer power exponentially increases approximately every 2 years [2] • Cooper's law: The number of voice calls or data that can be sent over the usable radio spectrum doubles every 30 months [2]

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“…Also, σ 2 z1 and σ 2 z2 can be calculated as explained in Habibzadeh et al 22 When a CHU does not handover and the signal strength of it from an MBS goes below the threshold γ m and when a CHU performs handover to an FBS but its signal strength from an FBS goes below the threshold γ f , the outage occurs. Also, σ 2 z1 and σ 2 z2 can be calculated as explained in Habibzadeh et al 22 When a CHU does not handover and the signal strength of it from an MBS goes below the threshold γ m and when a CHU performs handover to an FBS but its signal strength from an FBS goes below the threshold γ f , the outage occurs.…”

Section: Performance Analysismentioning

confidence: 99%

“…2 dy. Also, σ 2 z1 and σ 2 z2 can be calculated as explained in Habibzadeh et al 22 When a CHU does not handover and the signal strength of it from an MBS goes below the threshold γ m and when a CHU performs handover to an FBS but its signal strength from an FBS goes below the threshold γ f , the outage occurs. The outage probability can then be formulated as follows:…”

Section: Performance Analysismentioning

confidence: 99%

Analysis and performance evaluation of an efficient handover algorithm for cognitive HetNets

Habibzadeh

Moghaddam

Razavizadeh

et al. 2017

Int J Communication

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Cognitive heterogeneous network is a promising technology to meet the requirements of future wireless networks in cost and energy efficiency. By using vertical handover (VHO) between different network tiers, such as macro and femto, the traffic congestion can be potentially alleviated, and the spectral efficiency is significantly increased. However, performing VHO for a cognitive handover user (CHU) and simultaneously guaranteeing the quality of service of the primary user (PU) is the most challenging issue in such a network. This paper proposes an efficient VHO strategy in a cognitive heterogeneous network, which considers both adaptive average received signal and spectrum availability, namely, average received signal and spectrum availability. To analyse the performance of the proposed average received signal and spectrum availability algorithm, several metrics are investigated. First, the assignment probability of a CHU from a macro base station to a femto base station is evaluated and simplified in a closed-form expression. Then, the outage probability of a CHU and collision probability of the PU are theoretically investigated for the proposed algorithm and are compared with 2 well-known algorithms, the modified received signal strength-α and the received signal strength and wireless transmission loss. We also introduce a new performance metric, referred to as figure of merit, which jointly considers the assignment and outage probability of a CHU, collision probability of a PU, and the number of unnecessary handovers of a CHU. Figure of merit effectively shows the superiority of the proposed handover algorithm to conventional ones. KEYWORDSARSA, cognitive handover user (CHU), cognitive HetNet, femtocell, macrocell, vertical handover (VHO)

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A novel handover decision-making algorithm for HetNets

Cited by 13 publications

References 13 publications

An Adaptive Cell Selection Scheme for 5G Heterogeneous Ultra-Dense Networks

An Adaptive Cell Selection Scheme for 5G Heterogeneous Ultra-Dense Networks

Introductory Chapter: Primary and Secondary Users in Cognitive Radio-Based Wireless Communication Systems

Analysis and performance evaluation of an efficient handover algorithm for cognitive HetNets

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