Adaptive downlink packet scheduling in LTE networks based on queue monitoring

Adesh, N. D.; Renuka, A.

doi:10.1007/s11276-018-1708-1

Cited by 7 publications

(5 citation statements)

References 26 publications

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“…As presented in [17], with the legacy TTI of 1 ms, the uplink latency in LTE networks always remains above 12 ms (see Table 5 for details). There have been some recent studies [40][41][42] to improve scheduling in cellular networks, however, these studies do not target improving latency.…”

Section: Semi-persistent Schedulingmentioning

confidence: 99%

Latency reduction for narrowband URLLC networks: a performance evaluation

et al. 2021

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Fifth-generation (5G) cellular mobile networks are expected to support mission-critical low latency applications in addition to mobile broadband services, where fourth-generation (4G) cellular networks are unable to support Ultra-Reliable Low Latency Communication (URLLC). However, it might be interesting to understand which latency requirements can be met with both 4G and 5G networks. In this paper, we discuss (1) the components contributing to the latency of cellular networks and (2) evaluate control-plane and user-plane latencies for current-generation narrowband cellular networks and point out the potential improvements to reduce the latency of these networks, (3) present, implement and evaluate latency reduction techniques for latency-critical applications. The two elements we detected, namely the short transmission time interval and the semi-persistent scheduling are very promising as they allow to shorten the delay to processing received information both into the control and data planes. We then analyze the potential of latency reduction techniques for URLLC applications. To this end, we develop these techniques into the long term evolution (LTE) module of ns-3 simulator and then evaluate the performance of the proposed techniques into two different application fields: industrial automation and intelligent transportation systems. Our detailed evaluation results from simulations indicate that LTE can satisfy the low-latency requirements for a large choice of use cases in each field.

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Section: Semi-persistent Schedulingmentioning

confidence: 99%

Latency reduction for narrowband URLLC networks: a performance evaluation

et al. 2021

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“…Numerous packet scheduling algorithms have been developed for the effective transmission of multimedia traffic in the legacy mobile wireless network. These include wellknown algorithms namely Maximum Rate (Max-Rate) [6], Round Robin (RR) [7], Maximum-Largest Weighted Delay First (M-LWDF) [8], Proportional Fair [9], Exponential Proportional Fairness (EXP/PF) [10] and other QoS aware and delay based PS algorithms [11], [12]. These well-known algorithms presented excellent performances in managing resources under the legacy mobile cellular network requirements and were later adapted to simultaneously meet the desired multimedia QoS in the 4G mobile cellular networks.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Resource Block Allocation Techniques for Simultaneous EMBB and URLLC Traffic

Rasied

Ramli

Rahman

2022

2022 International Conference on Computer and Drone Applications (IConDA)

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Efficient utilization of Resource Blocks (RBs) whilst simultaneously meeting the desired Quality of Service (QoS) of Ultra-Reliable Low Latency Communication (URLLC) and Enhanced Mobile Broadband (EMBB) applications in the downlink Fifth Generation (5G) is an open research problem. Therefore, this paper proposes two dynamic Resource Block (RB) allocation techniques known as Channel-aware Dynamic RB Allocation (CDRA) and Urgency-aware Dynamic RB Allocation (UDRA) in our attempts to address the problem. These techniques dynamically allocate the number of RBs for packet transmission according to a user channel quality (CDRA) as well as packets urgency (UDRA) to achieve the 1 ms latency with 10 -5 Packet Loss Ratio (PLR). An extensive computer simulation was conducted based on realistic radio propagation and interference affected in a cell using the new frame structure, mini-slot 0.143 ms Transmission Time Interval (TTI) of 15 kHz Subcarrier Spacing (SCS), dynamic Control Channel (CCH) and short Hybrid Automatic Repeat Request (HARQ) features. The simulation results showed the efficacy of UDRA over CDRA where UDRA has explicitly improved the multimedia QoS namely PLR, latency, and throughput in the downlink 5G network.

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“…Dynamic packet scheduling is the main element of LTE network aiming to increase throughput and QoS to end users. Because of resource limitations, the queuing-based monitoring technique was used in downlink LTE communication to increase throughput and fairness among users [34]. The energy-based spectrum resources are optimized using the green cellular system to acquire the channel data for transmitting packets through base station [35].…”

Section: Introductionmentioning

confidence: 99%

ITFDS: Channel-Aware Integrated Time and Frequency-Based Downlink LTE Scheduling in MANET

Tuấn

Sơn

Long

et al. 2020

Sensors

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One of the crucial problems in Industry 4.0 is how to strengthen the performance of mobile communication within mobile ad-hoc networks (MANETs) and mobile computational grids (MCGs). In communication, Industry 4.0 needs dynamic network connectivity with higher amounts of speed and bandwidth. In order to support multiple users for video calling or conferencing with high-speed transmission rates and low packet loss, 4G technology was introduced by the 3G Partnership Program (3GPP). 4G LTE is a type of 4G technology in which LTE stands for Long Term Evolution, followed to achieve 4G speeds. 4G LTE supports multiple users for downlink with higher-order modulation up to 64 quadrature amplitude modulation (QAM). With wide coverage, high reliability and large capacity, LTE networks are widely used in Industry 4.0. However, there are many kinds of equipment with different quality of service (QoS) requirements. In the existing LTE scheduling methods, the scheduler in frequency domain packet scheduling exploits the spatial, frequency, and multi-user diversity to achieve larger MIMO for the required QoS level. On the contrary, time-frequency LTE scheduling pays attention to temporal and utility fairness. It is desirable to have a new solution that combines both the time and frequency domains for real-time applications with fairness among users. In this paper, we propose a channel-aware Integrated Time and Frequency-based Downlink LTE Scheduling (ITFDS) algorithm, which is suitable for both real-time and non-real-time applications. Firstly, it calculates the channel capacity and quality using the channel quality indicator (CQI). Additionally, data broadcasting is maintained by using the dynamic class-based establishment (DCE). In the time domain, we calculate the queue length before transmitting the next packets. In the frequency domain, we use the largest weight delay first (LWDF) scheduling algorithm to allocate resources to all users. All the allocations would be taken placed in the same transmission time interval (TTI). The new method is compared against the largest weighted delay first (LWDF), proportional fair (PF), maximum throughput (MT), and exponential/proportional fair (EXP/PF) methods. Experimental results show that the performance improves by around 12% compared with those other algorithms.

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Adaptive downlink packet scheduling in LTE networks based on queue monitoring

Cited by 7 publications

References 26 publications

Latency reduction for narrowband URLLC networks: a performance evaluation

Latency reduction for narrowband URLLC networks: a performance evaluation

Dynamic Resource Block Allocation Techniques for Simultaneous EMBB and URLLC Traffic

ITFDS: Channel-Aware Integrated Time and Frequency-Based Downlink LTE Scheduling in MANET

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