scholarly journals A study of packet scheduling algorithms in long term evolution-advanced

2020 ◽  
Vol 18 (1) ◽  
pp. 516
Author(s):  
Mohd Mueen Ul Islam Mattoo ◽  
Huda Adibah Mohd Ramli
Keyword(s):  
Packet Scheduling ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
System Capacity ◽  
Term Evolution ◽  
Lte Advanced ◽  
Radio Resources ◽  
The Impact ◽  
Long Term Evolution Advanced

<span lang="EN-GB">The allocation of radio resources is one of the most critical functions performed by the Radio Resource Management (RRM) mechanisms in the downlink Long Term Evolution – Advanced (LTE-Advanced). Packet scheduling concerns itself with allocation of these radio resources in an intelligent manner such that system throughput/capacity can be maximized whilst the required multimedia Quality of Service (QoS) is met. Majority of the previous studies of packet scheduling algorithms for LTE-Advanced did not take the effect of channel impairments into account. However, in real world the channel impairments cannot be obliterated completely and have a direct impact on the packet scheduling performance. As such, this work studies the impact of channel impairments on packet scheduling performance in a practical downlink LTE-Advanced. The simulation results obtained demonstrate the efficacy of RM2 scheduling algorithm over other scheduling algorithms in maximizing the system capacity and is more robust on the effect of the cellular channel impairments.  </span>

scholarly journals A STUDY ON CHANNEL AND DELAY-BASED SCHEDULING ALGORITHMS FOR LIVE VIDEO STREAMING IN THE FIFTH GENERATION LONG TERM EVOLUTION-ADVANCED

2022 ◽  
Vol 23 (1) ◽  
pp. 233-243
Author(s):  
Liza Abdul Latiff ◽  
Huda Adibah Mohd Ramli ◽  
Ani Liza Asnawi ◽  
Nur Haliza Abdul Wahab
Keyword(s):  
Video Streaming ◽  
Packet Scheduling ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
Live Video ◽  
Live Video Streaming ◽  
Fifth Generation ◽  
Term Evolution ◽  
Long Term Evolution Advanced

This paper investigates the performance of a number of channel and delay-based scheduling algorithms for an efficient QoS (Quality of Service) provision with more live video streaming users over the Fifth Generation Long-Term Evolution-Advanced (5G LTE-A) network. These algorithms were developed for use in legacy wireless networks and minor changes were made to enable these algorithms to perform packet scheduling in the downlink 5G LTE-A. The efficacies of the EXP and M-LWDF algorithms in maximizing the number of live video streaming users at the desired transmission reliability, minimizing the average network delay and maximizing network throughput, are shown via simulations. As the M-LWDF has a simpler mathematical equation as compared to the EXP, it is more favoured for implementation in the complex downlink 5G LTE-A. ABSTRAK: Kertas ini menyiasat prestasi sebilangan saluran dan algoritma penjadualan berdasarkan kelewatan untuk penyediaan QoS (Kualiti Perkhidmatan) yang cekap dengan banyak pengguna video secara langsung melalui rangkaian Generasi Kelima Long-Term Evolution Advanced (5G LTE-A). Algoritma-algoritma yang disiasat di dalam kertas ini dicadangkan untuk digunakan dalam generasi rangkaian tanpa wayar yang lama dan sedikit perubahan dibuat untuk membolehkan algoritma ini menyokong penjadualan paket dalam downlink 5G LTE-A. Keberkesanan EXP dan M-LWDF algoritma dalam memaksimumkan jumlah pengguna pada kebolehpercayaan transmisi yang diinginkan dari streaming video secara langsung, meminimumkan kelewatan rangkaian, dan memaksimumkan truput rangkaian ditunjukkan melalui simulasi. Namun, dengan M-LWDF mempunyai formula matematik yang mudah dibandingkan dengan EXP, ia lebih sesuai untuk digunakan dalam downlink 5G LTE-A yang lebih kompleks.

scholarly journals On The Evolution of LTE to LTE-Advanced

2012 ◽  
Vol 58 (1) ◽  
Author(s):  
A. A. Oudah ◽  
T. A. Rahman ◽  
N. Seman
Keyword(s):  
Long Term Evolution ◽  
Term Evolution ◽  
Lte Advanced ◽  
Long Term Evolution Advanced

This paper addresses the main features of the transition from the Long Term Evolution standard (LTE) to its successor Long Term Evolution-Advanced (LTE-Advanced). As the process of only creating LTE-advanced specifications alone has taken several years and included thousands of temporary documents, the output thus would be several volumes of specifications. A single paper of this length must therefore choose its contents wisely if it has to do more than just scratching the surface of such a complex standard.

PERFORMANCE ANALYSIS OF THE ENERGY CONSUMPTION OF THE SCHEDULING ALGORITHMS IN LONG TERM EVOLUTION LTE (LONG TERM EVOLUTION) NETWORKS

2016 ◽  
Vol 78 (10-4) ◽  
Author(s):  
Nurulanis Mohd Yusoff ◽  
Darmawaty Mohd Ali ◽  
Ku Siti Syahidah Ku Mohd Noh
Keyword(s):  
Global Warming ◽  
Energy Consumption ◽  
Communication Systems ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
Proportional Fair ◽  
Downlink Transmission ◽  
Term Evolution ◽  
The Impact

Energy efficiency has become an important feature in communication systems due to the problem of global warming and lack of energy resources. The impact on global warming caused by wireless communication industries has been gradually increasing, so it is obvious that developing the green communication is significant. In particular, energy consumption in the base stations and downlink transmission are the major areas where significant conservation can be achieved. Thus, the objective of this study is to investigate the performance of the packet scheduling algorithms in the downlink transmission and the energy consumption for video and Voice over IP (VoIP) applications in Long Term Evolution (LTE) systems. In this work, four different scheduling algorithms were analysed namely the Channel and Quality of Service Aware Proportional Fair (CQA_PF), CQA Frequency Fading (CQA_Ff), Priority Set Scheduler Proportional Fair (PSS_PF), and PSS Carrier Over Interference to Average (PSS_CoItA) based on the performance metrics of throughput, delay, energy consumption ratio (ECR) and fairness. The results showed that the CQA algorithm for both methods (CQA_PF and CQA_Ff) outperformed the other algorithms since it has the highest throughput with an increase of up to 25%. Meanwhile, for delay and ECR, the CQA scheduler was the lowest of up to 20% as compared to the PSS scheduler. Thus, it can be concluded that CQA is the most energy efficient algorithm to schedule the video and VoIP applications.

scholarly journals Handover Signaling for 3 Alternatives of Layer 3 Relay Node Implementation in LTE-advanced

2012 ◽  
Vol 58 (1) ◽  
Author(s):  
Nurzal Effiyana Ghazali ◽  
S.H. Syed Ariffin ◽  
N. Fisal ◽  
S. K. Syed Yusof
Keyword(s):  
Relay Node ◽  
Long Term Evolution ◽  
Control Plane ◽  
Cell Edge ◽  
Term Evolution ◽  
Lte Advanced ◽  
Technical Specifications ◽  
Long Term Evolution Advanced

Relaying is one of the technical specifications in LTE (Long Term Evolution)-Advanced. It is proposed to improve throughput at the cell edge and shadowing area. To enable relaying function in LTE-Advanced, current signaling should be modified because LTE does not support relaying technique. The enhancement work of LTE, proposed two architectures for RN (Relay Node) implementation which is called Architecture A and Architecture B. There are three alternatives in Architecture A and one alternative in Architecture B. This paper focused on the Architecture A. The control plane and user plane are discussed before the HO (Handover) signaling for each alternative in the Architecture A. L3 RN (Layer3 Relay Node) is considered in this architecture and work. The proposed signaling is based on HO scenario from a RN to a Target eNB (evolved NodeB) in a different cell.

Simulation of Packet Scheduling in Cognitive Long Term Evolution-Advanced

2017 ◽  
Vol 8 (2) ◽  
pp. 533
Author(s):  
Mohamad ‘Ismat Hafizi Mansor ◽  
Huda Adibah Mohd Ramli ◽  
Ani Liza Asnawi ◽  
Farah Nadia Mohd Isa
Keyword(s):  
Real Time ◽  
Packet Scheduling ◽  
Long Term Evolution ◽  
Multimedia Content ◽  
Multimedia Contents ◽  
Term Evolution ◽  
Spectrum Scarcity ◽  
Qos Requirement ◽  
Long Term Evolution Advanced

<p>Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promising technologies that is used to overcome spectrum scarcity and implementation of CR into LTE-A will improve spectrum availability and efficiency of the network. Furthermore, with addition of Packet Scheduling (PS) in the cognitive LTE-A, QoS requirement of the mobile users can be guaranteed. However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. The simulation results show that Maximum- Largest Weighted Delay First (M-LWDF) is the best candidate for implementation in the cognitive LTE-A.</p>

scholarly journals Investigations of Component Carrier Selection Algorithms in Long Term Evolution-Advanced

2018 ◽  
Vol 10 (1) ◽  
pp. 330
Author(s):  
Huda Adibah Mohd Ramli ◽  
Ani Liza Asnawi ◽  
Farah Nadia Mohd Isa ◽  
Amelia Wong Azman ◽  
Mohamad ‘Ismat Hafizi Mansor
Keyword(s):  
Real Time ◽  
Long Term Evolution ◽  
Data Rate ◽  
System Capacity ◽  
Performance Study ◽  
Current Frequency ◽  
Term Evolution ◽  
Selection Algorithms ◽  
Long Term Evolution Advanced

<p>Given that the demand for real-time multimedia contents that require significantly high data rate are getting of high popularity, a new mobile cellular technology known as Long term Evolution-Advanced (LTE-A) was standardized. The LTE-A is envisaged to support high peak data rate by aggregating more than one Component Carriers (CCs) of the same or different frequency bandwidths. Since the inter-band non-contiguous carrier aggregation is likely to be used due to the current frequency allocation, this paper provides a performance study of a number of CC selection algorithms for use in the inter-band non-contiguous downlink LTE-A. It should be noted that CC selection is of paramount importance in the LTE-A operating in backward compatible mode as the LTE-A contains a mixture of the legacy Long Term Evolution (LTE) users that support packets (re)transmission on a single CC and the LTE-A users that utilize more than one CCs for packets (re)transmission. Simulation results demonstrated the efficacy of the Channel-Throughput Aware (CTA) algorithm for maximizing the system capacity without compromising the required Quality of Service of real-time video users.</p>

scholarly journals AN ENHANCED PACKET SCHEDULING ALGORITHM FOR THE DOWNLINK COGNITIVE LONG TERM EVOLUTION-ADVANCED

2020 ◽  
Vol 21 (1) ◽  
pp. 51-60
Author(s):  
Huda Adibah Mohd Ramli ◽  
Mohamad 'Ismat Hafizi Mansor
Keyword(s):  
Real Time ◽  
Packet Scheduling ◽  
Scheduling Algorithm ◽  
Long Term Evolution ◽  
Packet Transmission ◽  
Available Bandwidth ◽  
Term Evolution ◽  
Packet Scheduling Algorithm ◽  
Long Term Evolution Advanced

A packet scheduling algorithm known as Enhanced Maximum-Largest Weighted Delay First (EM-LWDF) is proposed in this paper. It aims to maximize the number of Real Time (RT) and Non Real Time (NRT) users that meet their desired Quality of Service (QoS) in the cognitive Long Term Evolution-Advanced (LTE-A). This cognitive LTE-A allows its Component Carriers (CCs) to be combined with licensed CCs from another system. This enables the LTE-A to further expand the available bandwidth for packet transmission. The EM-LWDF algorithm decides the priority of each user on the basis of the desired QoS of each packet, the urgency of each packet, channel quality and the average throughput. The potential of this algorithm is validated via computer simulation where it is able to simultaneously maximize more users that meet their desired QoS in realistic RT and NRT multimedia of the downlink cognitive LTE-A. ABSTRAK: Algoritma penjadualan paket yang dikenali sebagai Enhanced Maximum-Largest Weighted Delay First (EM-LWDF) dicadangkan dalam kertas ini. Ia bertujuan untuk memaksimumkan bilangan pengguna Real Time (RT) dan Non Real Time (NRT) yang memenuhi Kualiti Perkhidmatan yang dikehendaki (QoS) dalam system kognitif Long Term Evolution-Advanced (LTE-A). Kognitif LTE-A ini membolehkan Carrier Component (CC) untuk digabungkan dengan CC berlesen dari sistem lain. Ini membolehkan LTE-A untuk memperluaskan jalur lebar yang tersedia bagi penghantaran paket. Algoritma EM-LWDF menentukan keutamaan setiap pengguna berdasarkan QoS yang dikehendaki dari setiap paket, kecemasan setiap paket, kualiti saluran dan purata penghantaran. Potensi algoritma ini disahkan melalui simulasi komputer di mana ia dapat memaksimumkan lebih banyak pengguna yang memenuhi QoS yang dikehendaki mereka dalam realistik RT dan NRT multimedia dari downlink sistem kognitif LTE-A.

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