Optimized MCE scheduling algorithm to allocate radio resources using evolved Round Robin scheduling

Damera, Baburao; Babu, P. Chitti; Jmali, Mohamed

doi:10.1109/icatcct.2016.7912103

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…A widely used logical strategy to implement resource fairness involves the recursive application of the RR scheduling scheme. This iterative approach is designed to ensure an equitable distribution of resources to all users, with the overarching objective of maximizing the average resource allocation rate for all users while adhering to specific fairness criteria [15][16][17][18]. In this context, the term "fair resources" denotes the principle of equitably distributing available resources, such as time slots or frequency bands, among all active users.…”

Section: A Round Robin (Rr) Schedulingmentioning

confidence: 99%

Comparative Study of Radio Resource Distribution Algorithms

Gharbi,

Yahya,

Ayari

2024

Eng. Technol. Appl. Sci. Res.

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The equitable distribution of radio resources among different users in wireless networks is a difficult problem and has attracted the interest of many studies. This study presents the Proportional Fair Q-Learning Algorithm (PFLA) to enable the equitable distribution of radio resources among diverse users through the integration of Q-learning and proportional fairness principles. The PFLA, Round Robin (RR), and Max Throughput (MaxTP) algorithms were compared to evaluate their effectiveness in resource allocation. Performance was measured in terms of sum-rate throughputs and fairness index. The comparison results showed an improvement in the fairness index metrics for PFLA compared to the other algorithms. PFLA showed gains of 11.62 and 43% in the fairness index compared to RR and MaxTP, respectively. These results show that PFLA is more efficient in utilizing available resources, leading to higher overall system throughput and demonstrating its ability to balance performance metrics between users, especially when the number of users increases.

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Section: A Round Robin (Rr) Schedulingmentioning

confidence: 99%

Comparative Study of Radio Resource Distribution Algorithms

Gharbi,

Yahya,

Ayari

2024

Eng. Technol. Appl. Sci. Res.

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An LTE-based Multicast Scheduling Technique for Critical Smart Grid Communications

El-Hussien

Gadallah

Ragai

2018

2018 13th International Conference on Computer Engineering and Systems (ICCES)

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Effective 5G Wireless Downlink Scheduling and Resource Allocation in Cyber-Physical Systems

Vora

Kang

2018

Technologies

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In emerging Cyber-Physical Systems (CPS), the demand for higher communication performance and enhanced wireless connectivity is increasing fast. To address the issue, in our recent work, we proposed a dynamic programming algorithm with polynomial time complexity for effective cross-layer downlink Scheduling and Resource Allocation (SRA) considering the channel and queue state, while supporting fairness. In this paper, we extend the SRA algorithm to consider 5G use-cases, namely enhanced Machine Type Communication (eMTC), Ultra-Reliable Low Latency Communication (URLLC) and enhanced Mobile BroadBand (eMBB). In a simulation study, we evaluate the performance of our SRA algorithm in comparison to an advanced greedy cross-layer algorithm for eMTC, URLLC and LTE (long-term evolution). For eMTC and URLLC, our SRA method outperforms the greedy approach by up to 17.24%, 18.1%, 2.5% and 1.5% in terms of average goodput, correlation impact, goodput fairness and delay fairness, respectively. In the case of LTE, our approach outperforms the greedy method by 60%, 2.6% and 1.6% in terms of goodput, goodput fairness and delay fairness compared with tested baseline.

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Optimized MCE scheduling algorithm to allocate radio resources using evolved Round Robin scheduling

Cited by 3 publications

References 5 publications

Comparative Study of Radio Resource Distribution Algorithms

Comparative Study of Radio Resource Distribution Algorithms

An LTE-based Multicast Scheduling Technique for Critical Smart Grid Communications

Effective 5G Wireless Downlink Scheduling and Resource Allocation in Cyber-Physical Systems

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