A Chunk-Based Scheduling Algorithm Considering User Satisfaction for SC-FDMA Transmission

5G architecture allows the use of new radio alongside long‐term evolution‐A (LTE‐Advanced) and enables cellular mobile networks to handle extraordinarily high traffic volume data. The major challenge in current uplink data transmission systems is making resource blocks (RBs) available in a continuous form and assigning them to active users in an optimum manner to improve the system's spectral efficiency. The best N‐subset (BNS) minimization technique is suggested to identify the best of the best continuous chunks of RBs from the existing system bandwidth, followed by a modified recursive maximum expansion (RME) algorithm to assign RBs to users in the most optimal manner. The algorithm together is referred to as a multiuser uplink scheduler BNSRME algorithm. A constraint utility maximization problem is formulated to allocate RBs to UEs in the most optimized manner. Utility matrix is then converted into a weighted sum‐rate maximization problem allowing weights to be updated adaptively based on marginal utility values. In addition, a threshold limit is considered based on the signal‐to‐noise ratio in the BNSRME‐TH algorithm, which satisfies multiusers in terms of assigned resources and improves system performance, spectral efficiency, and throughput. This MU scheduling strategy is used in the 5G uplink non‐stand‐alone cellular network. The findings exhibit that the proposed multiuser algorithm increases system spectral efficiency by 31.65% in comparison with the existing opportunistic algorithms. It has been observed that the performance of the system is further increased by using the MU‐MIMO framework.

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“…It is calculated based on channel quality conditions, user requirements, traffic conditions, and QoS requirements. If the resource block assignment

{N}_{RB,k}\left[n\right]

is higher, then the data rate of the user is higher 43,44 too.…”

Section: Scheduling Schemementioning

confidence: 99%

“…It considers the user's channel quality status, their requirements, and current satisfaction status for resource allocation. [n] is higher, then the data rate of the user is higher 43,44 too. We define p k as a priority list of users; k is calculated according to the user's satisfaction status.…”

Section: Heuristic Resource Allocationmentioning

confidence: 99%

Uplink transmission with multiuser scheduling innon‐stand‐alonecellular network using virtualMIMOsystem

Kukade

Sutaone²,

Patil³

2022

Trans Emerging Tel Tech

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“…The PF satisfies user requirements fairly but does not perform satisfactorily in the latency constraint applications. In such cases, the MLWDF is used [30]. In MLWDF user selects to transmit resources in in as shown in ( 14):…”

Section: Modified Largest Weighted Delay First (Mlwdf)mentioning

confidence: 99%

Multiuser Scheduling In 3GPP LTE-A Uplink Non-Stand-Alone Cellular Network With Virtual MIMO

Kukade¹,

Sutaone²,

Patil³

2021

Preprint

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New 5G architecture gives access to New Radio (NR) with co-exist LTE. 3GPP LTE-A transition towards NR is a wireless technology that is widely employed in the cellular mobile network to support significantly high volume traffic. In this paper, we propose the best N-subset reduction and a modified RME algorithm (BNSRME) as an uplink multiuser scheduler. It is responsible for allocating resources among the active users in the most effective manner. The N-subset reduction method selects the best chunk of continuous resource blocks from the available system bandwidth. Users are assigned chunks based on channel-dependent selection and utility function. The BNSRME scheduling algorithm aims to optimize performance, spectral efficiency, and allows multiuser scheduling where multiple active users are allocated the same time-frequency resources. We consider the threshold cap SNRT to improve sensitivity quality for satisfactory users. The approach is MU scheduling which will be the most commonly deployed in non-stand-alone (NSA) 5G uplink cellular network. The result shows that the system spectral efficiency improves by 32.55 % by using the proposed multiuser algorithm compared to single user scheduling in an uplink. It has been shown that its performance can be further improved by using the MU-MIMO system.

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“…To be specific, the medium access control (MAC) layer based algorithms perform DSA regardless of the time-varying and multipath fading characteristics in wireless channel; while for the physical layer based schemes, such as the greedy algorithm and the adjustable fairness algorithm [10], the traffic burstiness and QoS differentiation are not taken into consideration during allocation. Thus, the existing single-layer DSA frameworks are insufficient in wireless spectral resources utilization and diverse QoS provisioning [11] [12]. As a result, it is an urgent need for developing a cross-layer DSA framework to build a bridge between the physical and MAC layers [13].…”

Section: Introductionmentioning

confidence: 99%

Cross-layer Dynamic Subcarrier Allocation with Adaptive Service Rate Control in SC-FDMA System

2017

KSII TIIS

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In this paper, an improved utility-based cross-layer dynamic subcarrier allocation (DSA) algorithm is proposed for single carrier frequency division multiple access (SC-FDMA) system, which adopts adaptive service rate control (ASRC) to eliminate the service rate waste and improve the spectral efficiency in heterogeneous network including non-real-time traffic and real-time traffic. In this algorithm, furthermore, a first in first out (FIFO) queuing model with finite space is established on the cross-layer scheduling framework. Simulation results indicate that by taking the service rate constraint as the necessary condition for optimality, the ASRC algorithm can effectively eliminate the service rate waste without compromising the scheduling performance. Moreover, the ASRC algorithm is able to further improve the quality of service (QoS) performance and transmission throughput by contributing an attractive performance trade-off between real-time and non-real-time applications.

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A Chunk-Based Scheduling Algorithm Considering User Satisfaction for SC-FDMA Transmission

Cited by 3 publications

References 14 publications

Uplink transmission with multiuser scheduling innon‐stand‐alonecellular network using virtualMIMOsystem

Uplink transmission with multiuser scheduling innon‐stand‐alonecellular network using virtualMIMOsystem

Multiuser Scheduling In 3GPP LTE-A Uplink Non-Stand-Alone Cellular Network With Virtual MIMO

Cross-layer Dynamic Subcarrier Allocation with Adaptive Service Rate Control in SC-FDMA System

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