Adaptive fair radio interface scheduling for LTE networks

Toseef, Umar; Weerawardane, Thushara; Timm‐Giel, Andreas; Görg, Carmelita; Kröner, Hans

doi:10.1109/honet.2012.6421428

Cited by 3 publications

(1 citation statement)

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“…One more famous algorithm is called Blind Equal Throughout (BET) algorithm which is proposed by Toseef et al This algorithm uses a memory to store the average throughput achieved by each user in the past window, and it uses this information as a metric for calculating the weight of each user for allocating resources. BET maintains fairness among all users without taking their channel conditions into consideration; thence, it is called “blind.” Weight of a user for next TTI is evaluated as the inverse of its average throughput up to then M i = 1/ R i ( t ), where R i ( t ) is the prior average throughput of the i th user.…”

Section: Related Workmentioning

confidence: 99%

QoS‐aware LTE‐A downlink scheduling algorithm: A case study on edge users

Uyan

Güngör

2019

Int J Communication

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Summary 4G/LTE‐A (Long‐Term Evolution—Advanced) is the state of the art wireless mobile broadband technology. It allows users to take advantage of high Internet speeds. It makes use of the OFDM technology to offer high speed and provides the system resources both in time and frequency domain. A scheduling algorithm running on the base station holds the allocation of these resources. In this paper, we investigate the performance of existing downlink scheduling algorithms in two ways. First, we look at the performance of the algorithms in terms of throughput and fairness metrics. Second, we suggest a new QoS‐aware fairness criterion, which accepts that the system is fair if it can provide the users with the network traffic speeds that they demand and evaluate the performance of the algorithms according to this metric. We also propose a new QoS‐aware downlink scheduling algorithm (QuAS) according to these two metrics, which increases the QoS‐fairness and overall throughput of the edge users without causing a significant degradation in overall system throughput when compared with other schedulers in the literature.

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