Performance Analysis of Resource Scheduling Techniques in Homogeneous and Heterogeneous Small Cell LTE-A Networks

Noliya, Amandeep; Kumar, Sanjeev

doi:10.1007/s11277-020-07156-x

Cited by 21 publications

(11 citation statements)

References 41 publications

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“…Another critical issue is fairness for mobile service operators and users. [36][37][38][39] Although in many cases, we try to maximize the user and overall system throughput, we cannot ignore fairness either. Many scheduling strategies have been developed to overcome this issue.…”

Section: Related Workmentioning

confidence: 99%

“…Many scheduling strategies have been developed to overcome this issue. Noliya et al 36 investigated the performance of round robin, resource fair, Max‐throughput, best CQI, and proportional fair LTE‐A resource scheduling strategies on homogeneous networks. They also developed a novel cluster‐based proportional fair resource scheduling strategy for heterogeneous networks which allocates an efficient resource to the most suffering user while improving fairness and cell‐edge user throughput.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Yağcıoğlu¹

2022

Trans Emerging Tel Tech

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Inter cell interference coordination (ICIC) strategies in cellular systems have vital importance for spectrum efficiency in dense urban networks. Frequency reuse and resource allocation approaches are used to overcome the interference and the efficiency problems. Users in the cell edge suffer from low throughput and signal to interference plus noise ratio. Although increasing the transmit power of the BS can be considered as a solution, it also causes ICI. Considering these difficulties, we propose a technique called Experience Based Dynamic Soft Frequency Reuse in the 5G millimeter-wave (mmWave) at 28 GHz band.The first objective of the proposed technique is to minimize the inter cell interference by using Soft Frequency Reuse method. The technique also aims to increase the overall system throughput by using Dynamic Channel Allocation.The third objective is to progress a fairness scheduler algorithm among users by optimizing the base station schedulers, which we call Experience-Based Packet Scheduler. The main purpose of this article is to find the best value for α in order to maximize the average user and cell edge user throughput while considering the users' fairness. Simulations and numerical results show that the proposed algorithm can achieve up to 30% higher performance in terms of the average user throughput rates and has better fairness for lower α values (0.3 and 0.4).

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Yağcıoğlu¹

2022

Trans Emerging Tel Tech

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“…Moreover, it is well known that throughput of a T × R system is proportional to min(T, R) where T is transmitter antenna number and R is receiver antenna number. Then again, average throughput of UE (T AVG ) can be expressed like the following equation [10].…”

Section: Key Performance Parametersmentioning

confidence: 99%

Downlink Performance Enhancement of High-Velocity Users in 5G Networks by Configuring Antenna System

Anzum

Rafique

Sarder

et al. 2021

Lecture Notes on Data Engineering and Communications Technologies

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A limitation of bandwidth in the wireless network and the exponential rise in the high data rate requirement prompted the development of Massive Multiple-Input-Multiple-Output (MIMO) technique in 5G. Using this method, the ever-rising data rate can be met with the increment of the number of antennas. This comes at the price of energy consumption of higher amounts, complex network setups, and maintenance. Moreover, a high-velocity user experiences unpredictable fluctuations in the channel condition that deteriorates the downlink performance. Therefore, a proper number of antenna selections is of paramount importance. This issue has been addressed using different categories of algorithms but only for static users. In this study, we proffer to implement antenna diversity in closed loop spatial multiplexing MIMO transmission scheme by operating more number of reception antennas than the number of transmission antennas for ameliorating the downlink performance of high-velocity users in case of single user MIMO technology. In general, our results can be interpreted for large scale antenna systems like Massive MIMO even though a 4 × 4 MIMO system has been executed to carry out this study here. Additionally, it shows great prospects for solving practical-life problems like low data rate and call drops during handover to be experienced by cellular users traveling through highspeed transportation systems like Dhaka Metro Rail. The cell edge users are anticipated to get benefits from this method in case of SU-MIMO technology. The proposed

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“…Resource allocation with fairness algorithms attempts to maximize the total data rate while satisfying fairness among the users. For example, proportional-fair [27] and the max-min fair [21] algorithms have been introduced to allocate the radio resources. The proportional fair resource scheduling technique provides an efficient resource to most users and improves the cell-edge user throughputs.…”

Section: Figure 5: Resource Allocation Techniquesmentioning

confidence: 99%

Resource Allocation and Interference Management Techniques for OFDM-Based VLC Atto-Cells

et al. 2020

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In this paper, a resource partitioning scheme combined with a new multi-carrier optical modulation technique for indoor visible light communication (VLC) system is proposed. In VLC systems, the coverage area is divided into multiple atto-cells. In each atto-cell, multiple LED arrays are used as access points (APs) serving the assigned users. The coverage area of APs might be overlapped to avoid service discontinuity for mobile users. The overlapped coverage zones result in co-channel interference (CCI). We develop a shared frequency reuse (SFR) technique combined with two resource allocation algorithms to minimize interference and maximize the system throughput. This technique divides the overall bandwidth into two parts: the shared and reused bands. The shared band serves the users in the interference area while the reused band serves users in the non-interfering area. Furthermore, we propose a new multi-carrier optical modulation technique called odd clipped optical-OFDM (OCO-OFDM). This technique applies the odd symmetry on the frequency-domain OFDM to enhance the spectral efficiency compared to the asymmetrical clipped optical OFDM (ACO-OFDM) which is currently used. Then we study and evaluate the system performance in terms of the signal-to-interference and noise ratio (SINR), total throughput, and the outage probability. The proposed system achieved total throughput of up to 800 Mbps with 40 dB SINR at the cell edge. Furthermore, the outage probability can be optimized to its minimum value when the receiver fieldof-view (FOV) is taken by 40 when the minimum SINR is 10 dB.

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Performance Analysis of Resource Scheduling Techniques in Homogeneous and Heterogeneous Small Cell LTE-A Networks

Cited by 21 publications

References 41 publications

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Downlink Performance Enhancement of High-Velocity Users in 5G Networks by Configuring Antenna System

Resource Allocation and Interference Management Techniques for OFDM-Based VLC Atto-Cells

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