Queue-aware optimal resource allocation for the LTE downlink

Ahmed, Hussam; Jagannathan, Krishna; Bhashyam, Srikrishna

doi:10.1109/glocom.2013.6831719

Cited by 9 publications

(9 citation statements)

References 33 publications

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“…Several researches on LTE scheduling have been focused on the downlink. Examples of these are the ones proposed in the studies [18][19][20][21][22][23]. Many other researchers have made proposals on the LTE uplink scheduling, considering some of the challenges that concerns it.…”

Section: Acknowledgment (Ack)mentioning

confidence: 99%

Modelling and Development of a Radio Resource Control and Scheduling Algorithm for Long-Term Evolution (LTE) Uplink

Ogunrinola¹,

Olaniyi²,

Afolabi³

et al. 2021

RCES

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Modern radio communication services transmit signals from an earth station to a high-altitude station, space station or a space radio system via a feeder link while in Global Systems for Mobile Communication (GSM) and computer networks, the radio uplink transmit from cell phones to base station linking the network core to the communication interphase via an upstream facility. Hitherto, the Single-Carrier Frequency Division Multiple Access (SC-FDMA) has been adopted for uplink access in the Long-Term Evolution (LTE) scheme by the 3GPP. In this journal, the LTE uplink radio resource allocation is addressed as an optimization problem, where the desired solution is the mapping of the schedulable UE to schedulable Resource Blocks (RBs) that maximizes the proportional fairness metric. The particle swarm optimization (PSO) has been employed for this research. PSO is an algorithm that is very easy to implement to solve real time optimization problems and has fewer parameters to adjust when compared to other evolutionary algorithms. The proposed scheme was found to outperform the First Maximum Expansion (FME) and Recursive Maximum Expansion (RME) in terms of simulation time and fairness while maintaining the throughput.

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Section: Acknowledgment (Ack)mentioning

confidence: 99%

Modelling and Development of a Radio Resource Control and Scheduling Algorithm for Long-Term Evolution (LTE) Uplink

Ogunrinola¹,

Olaniyi²,

Afolabi³

et al. 2021

RCES

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“…These proposals are able to show a reasonable performance, however only on Non-RT flows. Scheduling algorithms in [16] and [17] were designed by adopting queue-state information such as Channel Quality Indicator (CQI), queue size, or arrival rates where system throughput improvement might be seen to some extent. Furthermore, authors in [18] formulated the packet scheduling problem under Markov Decision Process (MDP) and introduced a value iteration algorithm to improve throughput on RT traffic.…”

Section: Throughput-driven Schedulersmentioning

confidence: 99%

Delay-based and QoS-aware packet scheduling for RT and NRT multimedia services in LTE downlink systems

Madi

Hanapi

Othman

et al. 2018

J Wireless Com Network

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Guaranteeing Quality of Service (QoS) for heterogeneous traffic is a major challenge in the Fourth Generation (4G) mobile networks. Therein, the absence of sophisticated resources allocation process at the base station jeopardizes QoS in terms of latency data transfer. It has been observed from the literature that low delay bounds might be ensured, however, at the expense of other QoS aspects; for example, throughput and data loss. Therefore, in this article, we propose an effective Delay-based and QoS-Aware Scheduling (DQAS) scheme with a low complexity overhead as an efficient solution for the resource allocation issue in LTE Medium Access Control (MAC) layer. The ultimate aim of DQAS is to minimize delay for Real-Time (RT) traffic while still offering a good level of QoS. Complying with QoS of different traffic types, we effectively analyze the queue buffer of each user flow by developing an algorithm called Efficient Delay Control (EDC) that weights each flow priority in terms of delay. Then, this weight is utilized as a principle for the scheduling decision on the attending flows. Furthermore, the Least Delay Increase (LDI) algorithm is developed to tune the scheduler behavior to maintain a balance between delay and system throughput. Simulation results considering different user mobility levels reveal that DQAS significantly guarantees a low end-to-end delay trend that is independent of increased RT load, and moreover, a reasonable throughput and data drop levels compared to other existing schedulers.

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“…According to this paper, the FDPS allows a very significant performance gain compared with time domain (only) schedulers. In , Hussam et al . have built an optimal resource allocation algorithm, but without considering the restrictive constraints imposed by the standard.…”

Section: Long‐term Evolutionmentioning

confidence: 99%

An efficient and generic downlink resource allocation procedure for pre-5G networks

Ragaleux

Baey

Fladenmuller

2016

Wirel. Commun. Mob. Comput.

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This paper addresses the downlink resource allocation problem in pre-5G (LTE-B) networks. At each time slot, the problem is to share the radio resources between users in order to maximize a given objective function. We expressed this problem considering the LTE standard constraints, which are rarely considered in the literature. Mainly, for any given user, the base station is constrained to transmit with a single modulation and coding scheme. We show that this problem is nondeterministic polynomial-time hard, and therefore, we propose a generic approximation algorithm that covers a large variety of objectives. This algorithm is composed of three routines that enable an effective resource sharing procedure. The first routine computes a solution for a relaxation of our main problem, while the second routine selects the most suitable modulation and coding scheme for each user. Finally, the last routine effectively distributes the unallocated resources. For the max rate policy, simulation results show that our algorithm outperforms other existing algorithms in terms of capacity and remains close to the optimal. Under the proportional fairness policy, our solution also provides a very good fairness while maintaining a near-optimal capacity.

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Queue-aware optimal resource allocation for the LTE downlink

Cited by 9 publications

References 33 publications

Modelling and Development of a Radio Resource Control and Scheduling Algorithm for Long-Term Evolution (LTE) Uplink

Modelling and Development of a Radio Resource Control and Scheduling Algorithm for Long-Term Evolution (LTE) Uplink

Delay-based and QoS-aware packet scheduling for RT and NRT multimedia services in LTE downlink systems

An efficient and generic downlink resource allocation procedure for pre-5G networks

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