A Novel Scheduling Algorithm Based on Game Theory and Multicriteria Decision Making in LTE Network

Hindia, Mohammad Nour; Reza, Ahmed Wasif; Noordin, Kamarul Ariffin

doi:10.1155/2015/604752

Cited by 19 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [19], [20] proposed a scheduler that takes into consideration both RT and NRT applications, and showed acceptable performance for both RT and NRT. But the main weakness is the complexity, where the scheduling decision should be taken within only 1 ms. Ref.…”

Section: Related Workmentioning

confidence: 99%

A PDR-Based Scheduling Scheme for LTE-A Networks

Hajjawi

Ismail²,

Abdullah³

et al. 2016

JCM

View full text Add to dashboard Cite

Carrier Aggregation (CA) technology is one of the enhancements keys which supports high bandwidth up to 100 MHz in Long Term Evolution Advanced (LTE-A) networks. CA technology has been developed by The 3rd Generation Partnership Project (3GPP) to serve mobile users with high data rate up to 1 Gbps for downlink and 500 Mbps for uplink. However, 3GPP has not defined a firm provision to handle scheduling process so that scheduling becomes an open issue. This paper proposes a novel scheduling algorithm based on Packet Drop Rate (PDR) and cooperative game theory mechanisms. In the first stage, the classes are classified based on the PDR including both Real-Time and Non Real-Time classes. In the second stage, the proposed algorithm forms a coalition between classes, allowing them to share bandwidth. Then, the available resources are distributed as a proportion among classes to guarantee the minimum requirements for high priority applications and give a chance to low priority applications to be served. The proposed scheme is evaluated in terms of throughput, delay, and fairness and compared with Proportional Fairness (PF) and Exponential-rule (EXP-rule) algorithms. The proposed scheme outperforms the other two comparative algorithms in terms of throughput, delay and fairness index.

show abstract

Section: Related Workmentioning

confidence: 99%

A PDR-Based Scheduling Scheme for LTE-A Networks

Hajjawi

Ismail²,

Abdullah³

et al. 2016

JCM

View full text Add to dashboard Cite

show abstract

“…The first level, bankruptcy algorithm allocates the resources based on class and shapely algorithm distributes the resources among users as a proportion which keeps both RT and NRT applications are considered and served. Second level TOPSIS algorithm allocates the resources based on the class preferences [7].…”

Section: Game Theory and Topsis Based Scheduling Algorithmmentioning

confidence: 99%

Integration Facilitation of Scheduling Algorithms in the Smart Grid Communications over 4G Networks

Hajjawi¹,

Ismail²,

Hindia³

et al. 2015

Third International Conference on Advances in Computing, Electronics and Electrical Technology - CEET 2015

View full text Add to dashboard Cite

Abstract-The smart grid is a promising technology of the next-generation electrical systems which involves wireless networks. Such Long Term Evolution (LTE), which has been proposed and developed by the 3rd Generation Partnership Project (3GPP), is expected to be a preferable technology due to its high data rate and low delay. Due to the fact that smart grid requires real-time communications, scheduling mechanism becomes more important since it distributes the available resources to the users taking into account channel status and the Quality of Services (QoS) requirements. However, LTE has not been proposed for smart grid communications so that scheduling algorithms which implemented in LTE network must be evaluated accordingly before integrated in the smart grid communications. This paper evaluates the performance of three scheduling algorithms in the smart grid for both real-time applications and non-real time applications as well. Moreover, the performance is evaluated in terms of delay, throughput and fairness index. In addition, this paper desires to facilitate the integration scheduling process in the smart grid communications.

show abstract

“…The values of a, b and c are initially calculated as a ratio of the number of active users in each service to the active users in whole system as shown in (7). ) which indicate the increases or decreases of the PDR values and change the resource allocation strategy after a specific number of the PDR value changes.…”

Section: A First Levelmentioning

confidence: 99%

“…Scheduling plays a crucial role in the smart grid communications, because it is in charge of the resources allocation process. Owing to the fact that LTE is not specifically designed for smart grid, novel scheduling algorithms should be proposed to meet the smart grid requirements [7]. The smallest allocated resource unit in LTE is called Resource Block (RB) spanning 180 KHZ in frequency domain and it is divided into two slots in time domain as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

A Scheduling Algorithm Based Self-Learning Technique for Smart Grid Communications over 4G Networks

Hajjawi

Ismail²

2015

JCM

View full text Add to dashboard Cite

Abstract-The latest 4G wireless technology, Long Term Evolution (LTE), is expected to be a promising wireless network for smart grid communications due to its high data rate and low latency. However, Scheduling mechanism has a crucial role on the smart grid performance since it is responsible for resources allocation process among users taking into account delay, fairness, throughput and channel status. LTE has not been intended for smart grid communications which results in unfair resource allocation between LTE users and smart grid applications. Moreover, the smart grid utilizes real time communications which have to be prioritized and allocated more resources in some cases. Following the requirements for a scheduling algorithm that takes into account smart grid communications and offers a compromise among different classes, this paper proposes a two level scheduling algorithm for smart grid communications in order to meet the requirements of these classes. In first level, the smart grid applications are classified into three classes where the resources are distributed based on the Packet Drop Rate (PDR). In second level, a novel queuing algorithm is proposed to prioritize the RT users with shortest delay. Furthermore, the proposed algorithm's performance is evaluated in term of throughput, delay and fairness index and compared with Frame Level Scheduler (FLS) and Proportional Fairness (PF) algorithms where the proposed approach illustrates higher overall system performance in terms of throughput, delay and fairness.

show abstract

A Novel Scheduling Algorithm Based on Game Theory and Multicriteria Decision Making in LTE Network

Cited by 19 publications

References 24 publications

A PDR-Based Scheduling Scheme for LTE-A Networks

A PDR-Based Scheduling Scheme for LTE-A Networks

Integration Facilitation of Scheduling Algorithms in the Smart Grid Communications over 4G Networks

A Scheduling Algorithm Based Self-Learning Technique for Smart Grid Communications over 4G Networks

Contact Info

Product

Resources

About