Comparative Performance Study of QoS Downlink Scheduling Algorithms in LTE System for M2M Communications (original) (raw)

A Downlink Scheduling Approach for Balancing QoS in LTE Wireless Networks

In this paper, we propose a strategy for resource allocation for different traffic classes at the Medium Access Control (MAC) layer of wireless systems based on Orthogonal Frequency Division Multiple Access (OFDMA), such as the recent Long-Term Evolution (LTE) wireless standard. In order to achieve inter-class fairness, we propose a modification of the Virtual Token Modified Largest Weighted Delay First (VT-M-LWDF) and Modified Largest Weighted Delay First (M-LWDF) rules. Through simulation, we show that the proposed scheduler introduces remarkable multi-objective improvement of the Quality of Service (QoS) performance parameters, i.e., Packet Loss Rate (PLR), average throughput, fairness index and system spectral efficiency, among different classes of traffic such as video, VoIP and best-effort.

Performance Evaluation of Scheduling Strategies for LTE Networks in Downlink Direction

—LTE (Long Term Evolution) networks have been introduced in 3GPP (Third Generation Partnership Project) release 8 specifications, with an objective of high-data-rate, low-latency and packet-optimized radio access technology. The QoS for multimedia services are defined in LTE specification. However the scheduling algorithms for supporting real time and non-real time application services are not specified. Therefore different scheduling strategies are proposed. This paper explores the performances of LTE Network for different proposed scheduling algorithms such as Proportional Fair (PF), Maximum-Largest Weighted Delay First (M-LWDF), and Exponential Proportional Fairness (EXP/PF) by using the LTE-Sim network simulator. The evaluation is considered for a single cell with interference scenario for different flows such as video, best effort, and VoIP. The performance evaluation is conducted in terms of system throughput, fairness index, delay, and Packet Loss Ratio (PLR). Finally it will be concluded that all 3 scheduling algorithms are suitable for best effort flows, while M-LWDF and EXP/PF are suitable for video flows, and PF and EXP/PF are suitable for VoIP flows.

Performance Comparison of Downlink Packet Scheduling Algorithms in LTE Network

Proceeding of the Electrical Engineering Computer Science and Informatics

Long Term Evolution (LTE) was introduced by the Third-Generation Partnership Project (3GPP) and is considered as the latest step towards the fourth generation of radio technology. This paper investigates the performance of well-known packet scheduling algorithms such as Proportion Fair (PF), Maximum-Largest Weighted Delay First (M-LWDF), Exponential Proportion Fair (EXP/PF), Frame Level Scheduler (FLS), Exponential rule (EXP rule), and Logarithmic rule (LOG Rule) in terms of delay, throughput, and packet loss ratio (PLR) by using the LTE-Sim open source simulator. Different traffic types are used, and Simulation results show that in video traffic, FLS and EXP algorithms provide a higher system throughput compared to other algorithms while keeping the delay and packet loss ratio small. However, in the case of besteffort traffic, results show a high delay and PLR with low throughput. The main contribution of this paper is to determine the appropriate downlink scheduling algorithm for VOIP, video, and best-effort traffics in 3GPP LTE.

QoS hybrid uplink scheduler based on service type for M2M communications in LTE networks

Indonesian Journal of Electrical Engineering and Computer Science

The introduction of Machine-to-Machine (M2M) communications in cellular networks creates a new set of challenges because of the unique service requirements and features of M2M devices. One of these challenges is the management of radio resources, especially on the uplink because of the unfairness and poor performance that occurs when allocating resources to users. Long Term Evolution (LTE) and LTE-Advanced (LTE-A) are excellent candidates for supporting M2M communications because of their native IP connectivity and scalability for a variety of devices. Therefore, LTE schedulers should be able to meet the needs of M2M devices such as time constraints and specific Quality of Service (QoS) requirements. In this paper, these constraints are studied and analyzed, focusing on three schedulers; they are Round Robin (RR), First Maximum Expansion (FME) and Maximum Throughput (MT). These methods do not provide QoS to users who use different types of traffic flows. The solution proposed in this work is a hybrid model between two schedulers each of them is the best scheduling solution for the real-time service and the other for the non-real-time service, in order to meet QoS criteria maximizing throughput and minimizing packet loss. Video and voip were selected as real-time traffic and best effort for non-real time. The simulations results show that the proposed scheduler reaches the lowest Packet Loss Rate (PLR), delivering highest throughput and goodput among the other strategies.

QOS Downlink Schedulers in LTE towards 5G Network

— LTE is expected to be the dominant system used by operators in these years due to its promising solutions for achieving high capacity and data rate. However, LTE packet scheduling and distributing resources among users is still the main challenge due to unfairness and low performance which occur when allocating resources to users. In this paper, the above mentioned challenges are studied and analysed, focusing on three schedulers; they are Proportional Fair (PF), Maximum Throughput (MT) and Blind equal throughput (BET). These methods do not provide QoS to users that use different types of traffic flows. The proposed algorithm in this paper is to modify the PF scheduler in order to fulfil the QoS criteria maximizing throughput and minimizing the delay for real time service. VoIP and video have been selected as real time traffic and best effort as non-real time. LTE-Sim simulator is used to compare between the mentioned schedulers in terms of throughput, delay, packet loss ratio and spectrum efficiency.

Performance Evaluation of Proportional Fairness Scheduling in LTE

In 3GPP LTE OFDMA cellular systems, radio resource scheduling schemes are significant processes in which the available scarce and prohibitively expensive radio resources are assigned to each active user efficiently in terms of quality of service (QoS). An efficient scheduling algorithm plays an important role for effective utilization of radio resources, high data rate, low latency, fairness among users within a system as well as for the entire system performance. This paper evaluates the performance of three basic packet scheduling algorithms in downlink 3GPP LTE cellular network under universal frequency reuse scheme by executing a simulation in different channel conditions in terms of maximum throughput and fairness metrics.

E-MQS - A New Downlink Scheduler for Real-Time Flows in LTE Network

2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), 2016

This paper proposes a new scheduling scheme which based on the extended E-model, Channel-and QoS-Aware (known as E-MQS scheduler) for real-time traffics in LTE downlink direction. The real-time services (VoIP, Video, etc.) are very sensitive to network impairments such as delay, packet loss, jitter, etc. The proposed scheduling scheme is based on the extension of the E-model and the consideration of Maximum Queue Size (MQS) as a factor for the metric. Since this scheduling scheme considers Mean Opinion Score (MOS) values, thus, it gets higher user perception. The simulation results show that the proposed scheme has the performance which not only satisfies QoS requirements of real-time services but also outperforms the Frame Level Scheduler (FLS), Modified Largest Weighted Delay First (M-LWDF) and Exponential/Proportional Fair (EXP/PF) schedulers in terms of delay, cell throughput, Fairness Index (FI) and Spectral Efficiency (SE), especially for Video flow. Our proposed scheduler also significantly improves the Packet Loss Rate (PLR) in comparison with the M-LWDF and EXP/PF schedulers for both VoIP and Video flows. The performance evaluation is compared in terms of Delay, PLR, Throughput, FI and SE for FLS, M-LWDF, EXP/PF schedulers and our proposed one.

COMPARATIVE ANALYSIS OF DOWNLINK PACKET SCHEDULING ALGORITHMS IN 3GPP LTE NETWORKS

Long Term Evolution (LTE) mobile network aims to support high speed network services even in high-mobility scenarios. To achieve this goal, LTE adopts some advanced features in Radio Resource Management (RRM) procedures. Among them, LTE packet scheduling plays a fundamental role in maximising system performance. In this paper, a comparative analysis on the performances of Proportional Fair (PF), Exponential/Proportional Fair (EXP/PF), Exponential (EXP) Rule, Maximum-Largest Weighted Delay First (M-LWDF), Logarithmic (LOG) Rule and Frame Level Scheduler (FLS) LTE downlink packet scheduling algorithms is reported. Performance is evaluated in single cell with interference environment while increasing user number and user speed. Results show that for multimedia flow, FLS scheme outperforms other five schemes in terms of packet delay, packet loss ratio, and average throughput, whereas for best-effort flow, EXP-PF scheme shows better average throughput performance on average as compared with other algorithms being considered herein.

A Comparison Study Between the Downlink Packet Scheduling Algorithms in LTE Networks

2015

LTE networks are the latest generation of wireless networks based on IP architecture; it is standardized by the 3GPP in its Rel.8. LTE networks are implemented practically to access internet with very high data rates with using various multimedia services. This paper is based on five types of downlink packet scheduling algorithms in LTE networks, It examines the impact of throughput, the fairness and the spectral efficiency of each scheduling algorithms when the speed of UE (User Equipment) and the number of UEs are changed. A comparison between the scheduling algorithms has been done using Vienna LTE SYSTEM LEVEL Simulator.

QoS-Aware Proportional Fair (QAPF) Downlink Scheduling Algorithm for LTE Network

Long Term Evolution (LTE) supports several QoS (quality of services) classes and tries to guarantee their requirements. There are two main different QoS classes: Guaranteed Bit rate (GBR) such as VoIP and non-Guaranteed Bit Rate (non-GBR) such as FTP or HTTP. Having these different QoS requirements in packet domain introduces an additional challenge on the LTE MAC scheduler design. Therefore, the scheduler has to be aware of the different service requirements and satisfy them. In this paper, QoS aware proportional fair downlink scheduler (QAPF) is proposed. It can optimize the use of available resources while maintaining QoS requirements of different service classes. The result will show the performance evaluation of the proposed scheduler by comparing with others.