A fair uplink scheduling algorithm to achieve higher MAC layer throughput in LTE

Mukhopadhyay, Atri; Das, Goutam; Reddy, Varun S.

doi:10.1109/icc.2015.7248803

Cited by 6 publications

(11 citation statements)

References 4 publications

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“…The UEs closer to the eNodeB are scheduled more frequently as they generally possess better channel gains. However, the UEs with poorer channel gains do not get enough transmission opportunities, which results in higher delay and packet loss [10]. On the other hand, if buffer aware scheduling is used (see Table 3), the scheduling parameter becomes the minimum of the number of bytes that the channel condition allows to transmit for a particular UE and the number of bytes present in that UE's buffer.…”

Section: Motivationmentioning

confidence: 99%

“…In this section, we explain our previously proposed Dynamic Hungarian Algorithm with modification (DHAM) [10]. Thereafter, we extend DHAM to consider delay aware real time traffic and to support QoS when only a single type of traffic is being transmitted.…”

Section: Delay Aware Real-time Traffic Schedulingmentioning

confidence: 99%

“…These algorithms, in fact, allocate the PRBs to the UEs that possess good channel gains even though the UEs may not have sufficient data in their buffer to utilize the allocated PRBs. However, the MAC throughput, which is the actual number of bits transmitted, may remain low as actual buffer status is not considered while scheduling the UEs [10]. Similar approach can be found in [11] where the authors have considered a buffer-based channel dependent scheduler (BCS) for twohop relay-assisted LTE network.…”

Section: Introductionmentioning

confidence: 99%

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Low Complexity Fair Scheduling in LTE/LTE-A Uplink Involving Multiple Traffic Classes

Mukhopadhyay

Das

2021

IEEE Systems Journal

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Long term evolution (LTE) has already been accepted as the de-facto 4G wireless technology. However, the bulk of the research on LTE packet scheduling is concentrated in the downlink and the uplink is comparatively less explored. In uplink, mostly channel aware scheduling with throughput maximization has been studied. Further, channel aware scheduling requires an infinitely backlogged buffer model. This makes the investigations unrealistic. Therefore, in this work, we propose an LTE uplink packet scheduling procedure with a realistic traffic source. Firstly, we advocate a joint channel and buffer aware algorithm, which seeks to maximize the actual number of bits transmitted once a user is scheduled. Thereafter, we modify our algorithm to support traffic types with delay constraints. Next, we enhance our algorithm to support multiple classes of traffic. Finally, we have introduced priority flipping to minimize bandwidth starvation of lower priority traffics in presence of higher percentage of high priority traffic. In all the proposals, we have replaced the delay constraint by minimizing the packet drop due to delay violation. This further helps in reducing the problems to a well-known assignment problem.

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Section: Motivationmentioning

confidence: 99%

Section: Delay Aware Real-time Traffic Schedulingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Low Complexity Fair Scheduling in LTE/LTE-A Uplink Involving Multiple Traffic Classes

Mukhopadhyay

Das

2021

IEEE Systems Journal

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“…The metric is used by the eNodeB to create a channel gain matrix for all UEs, where a row will correspond to a UE, and the columns define the available RBs. This channel gain matrix is used by the resource allocation algorithm and allows it to maximize the overall efficiency of the system [15].…”

Section: Uplink Resource Allocationmentioning

confidence: 99%

A Novel Fair and Efficient Resource Allocation Scheduling Algorithm for Uplink in LTE-A

Bilisik¹,

Sokullu²

2018

Adv. sci. technol. eng. syst. j.

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With the introduction of new services and new more sophisticated mobile devices the radio network operators are faced with new challanges to increase the system performance. The most recent standards introduced by 3GPP for the new architectures of the Long Term Evolution network address these issues and outline possibilities for optimizing network performance and user QoS. A major instrument in that respect is the resource scheduling and allocation procedure. So far many different algorithms have ben proposed. Uplink resource allocation however is less covered, beacsue it poses additional constraints which make it difficult to balance the optimization between channel state information, system throughput and user perceived throughput. In this paper we propose a novel algorithm for resource allocation which balances the advantages of two previously suggested ones, specifically Round Robin and Best-CQI. We also define a new parameter, the user ratio, which allows us to explicitly quantify the trade-off between fairness, system throughput and user throughput for different channel conditions.

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“…N. Bouchemal, et al worked on resource allocation and MAC scheduling algorithm to propose a QoS guaranteed cross layer scheduling algorithm in LTE system [4]. A. Mukhopadhyay and V. Sudheer changed uplink control methods to achieve higher MAC layer throughput and good fairness among users [5]; whereas S. Brueck, et. al…”

Section: Introductionmentioning

confidence: 99%

Adaptive ARQ Method for Enhancements of LTE MAC Protocol

Jung¹,

Kwon²

2016

Journal of Korea Multimedia Society

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A fair uplink scheduling algorithm to achieve higher MAC layer throughput in LTE

Cited by 6 publications

References 4 publications

Low Complexity Fair Scheduling in LTE/LTE-A Uplink Involving Multiple Traffic Classes

Low Complexity Fair Scheduling in LTE/LTE-A Uplink Involving Multiple Traffic Classes

A Novel Fair and Efficient Resource Allocation Scheduling Algorithm for Uplink in LTE-A

Adaptive ARQ Method for Enhancements of LTE MAC Protocol

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