QoS-aware dynamic resource allocation for wireless broadband access networks

Nguyen, Tri Minh; Yim, T.L.; Jeon, Youchan; Kyung, Yeunwoong; Park, Jin-Woo

doi:10.1186/1687-1499-2014-104

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…So convergence is rather slow, and unaware of immediate traffic pattern changes. In Nguyen, scheduling through priority queue size for reserved traffic is used, but shows only 5% improvement. In Chiang et al, frame split ratio has been derived by using TCP/IP flow parameters.…”

Section: Literature Review and Motivationmentioning

confidence: 99%

Bandwidth utilization efficiency enhancement for OFDM‐based WSN

Ansar

Noor

2018

Int J Communication

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Normally IEEE 802.16 (WiMAX) is used for mainly downlink traffic applications. However in the upper tier of 2-tier (WiMAX-WiFi) wireless sensor network, the uplink bandwidth faces bottlenecks for high throughput. In this paper, a solution has been proposed for this limitation of uplink bandwidth allocation through the use of queuing theoretic performance modeling. A Markov-modulated Poisson process traffic model has been formed for orthogonal frequency division multiple access-based transmission along with discrete time Markov chain system model for queuing. A downlink traffic pattern has been defined for wireless sensor network nodes. Analytical methods are used to estimate the performance parameters like throughput, delay, and probability of packet drop for resource allocation. An algorithm is formulated to find out minimum resource requirement for downlink and to transfer rest of the resources to uplink bandwidth allocation, for throughput enhancement.Uplink frame utilization is determined through another discrete time Markov chain model for adaptive triggering between the proposed maximum and the normal downlink to uplink ratio operations, for efficient distribution of bandwidth resources. Algorithm and simulation results prove outstanding improvement in the uplink throughput around 50%, without degrading the downlink throughput.

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Section: Literature Review and Motivationmentioning

confidence: 99%

Bandwidth utilization efficiency enhancement for OFDM‐based WSN

Ansar

Noor

2018

Int J Communication

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“…This optimization scheme aims to find the best slot solution for the WiMAX's UL-MAP [17]. A detailed description of GRA-MAKA is as follows.…”

Section: Proposed Gramakamentioning

confidence: 99%

A new cross-layer scheme that combines grey relational analysis with multiple attributes and knapsack algorithms for WiMAX uplink bandwidth allocation

Hwang

2016

J Wireless Com Network

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To compensate for the adverse effects caused by radio link in worldwide interoperability for Microwave Access (WiMAX) networks, many radio resource management approaches have been present to assign orthogonal frequency division multiplexing access slots for seeking better performance. However, no WiMAX standards for optimal slot allocation have been defined. In this study, a new uplink bandwidth allocation scheme, GRAMA, which combines grey relational analysis with multiple attributes and the knapsack algorithms, is proposed to improve resource utilization while satisfying the user's requirements of throughput and fairness. Channel aware technology and service flow priority are used in the proposed scheme to achieve the highest performance index. A series of simulation is conducted under the scenarios of constant-bit-rate (CBR) voice traffic, variable-bit-rate (VBR) video traffic, and VBR data traffic. The performance is evaluated in terms of bandwidth utilization, transmission throughput, and fairness and simulation result which indicate that the proposed GRAMKA outperforms the conventional fuzzy and knapsack algorithms.

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“…1 n ← number of connection queues 2 q i,k ← current connection of queue i at round k 3 w i,k ← dynamic weight counter of queue i at round k 4 Figure 3 shows that the LAWRR scheduler has dynamically adjusted the static weight for q 1,1 and q 2,1 according to their traffic load characteristics. After assigning a dynamic weight to the weight counter, LAWRR begins serving each queue starting from the head of the first queue to the last queue.…”

Section: Algorithm 1: Lawrr Schedulingmentioning

confidence: 99%

A load-aware weighted round-robin algorithm for IEEE 802.16 networks

Saidu

Subramaniam

Jaafar

et al. 2014

J Wireless Com Network

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The IEEE 802.16 standard was designed to provide quality-of-service (QoS) guarantees for various classes of traffic with diverse QoS requirements. Packet-scheduling algorithms play a critical role in providing such guarantees. Weighted round robin (WRR) is one of the most commonly used scheduling algorithms, because of its simplicity and low computational overhead. However, it suffers from performance degradation under bursty traffic conditions because of the static weights used to determine packet transmissions. We propose a new packet-scheduling discipline for downlink traffic in 802.16 networks to improve performance in such situations. It dynamically determines the weight of each queue in the various classes based on the current traffic characteristics using the static WRR weight at the beginning of each base station round. The goal is not only to reduce the average delay and packet loss but also to improve average throughput. Simulations are used to evaluate the performance of the proposed algorithm load-aware weighted round robin (LAWRR), and show that it reduces average delay and packet loss, as well as it improves average throughput compared with WRR. The effectiveness of LAWRR running under fixed buffer sizes is also investigated.

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QoS-aware dynamic resource allocation for wireless broadband access networks

Cited by 6 publications

References 11 publications

Bandwidth utilization efficiency enhancement for OFDM‐based WSN

Bandwidth utilization efficiency enhancement for OFDM‐based WSN

A new cross-layer scheme that combines grey relational analysis with multiple attributes and knapsack algorithms for WiMAX uplink bandwidth allocation

A load-aware weighted round-robin algorithm for IEEE 802.16 networks

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