Performance analysis of scheduling policies for VoIP traffic in LTE-Advanced network

Zain, Aini Syuhada Md; Malek, Mohd Fareq Abd; Elshaikh, Mohamed; Omar, Nazlia; Hussain, Abadal-Salam T.

doi:10.1109/i4ct.2015.7219528

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…Apart from our core parameters such as coverage distance, throughput, and reliability, network parameters such as jitter, end‐to‐end delay, and packet loss are also evaluated for network performance. Jitter parameter is defined by Equation and the mean value of this parameter for all the received packets will be taken in our evaluation table given in Table 3. We have

Jitter = false(T_{4} - T_{3} false) - false(T_{2} - T_{1} false),

where T 1 and T 2 are the time of leaving the 2 consecutive packets from the source node and T 3 and T 4 are the time of arrival of those packets to the destination node.…”

Section: Algorithm Designmentioning

confidence: 99%

“…The end‐to‐end delay is another network performance parameter and it is defined as the time taken for a package to get from source to destination . In our evaluation, we use mean delay by taking the mean of the delays of all the packets received.…”

Section: Algorithm Designmentioning

confidence: 99%

“…In our evaluation, we use mean delay by taking the mean of the delays of all the packets received. The parameter packet loss is given in Equation and it is defined as the percentage of packets that is lost during transmission from source to destination over the network. We have

Packet Loss = false(P_{sent} - P_{rec} false) * 100 false/ P_{sent},

where P sent and P rec are the packets sent and received during the simulation.…”

Section: Algorithm Designmentioning

confidence: 99%

“…The end-to-end delay is another network performance parameter and it is defined as the time taken for a package to get from source to destination. 15 In our evaluation, we use mean delay by taking the mean of the delays of all the packets received. The parameter packet loss is given in Equation 5 , 15 and it is defined as the percentage of packets that is lost during transmission from source to destination over the network.…”

Section: Other Performance Parametersmentioning

confidence: 99%

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A novel sea communication topology and IP routing algorithm by using LTE and WMN in NS‐3

Kasim

Özdemir

2017

Trans Emerging Tel Tech

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This paper proposes a new heterogeneous network topology and a routing algorithm for a marine communication system involving ships and other marine vessels from a terrestrial point on the shore. Topology involves the use of a collection of Long‐Term Evolution (LTE) systems and Wi‐Fi mesh networks. There are multiple clusters/ships in the network, with an LTE system centered around each cluster. Communication between the clusters happens through LTE, and within the cluster mesh, networking is employed. Every end user in the ship has access to the server application by means of mesh networking from the respective access point in the cluster/ship. The routing algorithm is designed based on the best signal‐to‐interference‐plus‐noise‐ratio path and minimum delay combination, which selects the best modulation scheme and hence the best data rate. The algorithm employs a new parameter that is derived from signal‐to‐interference‐plus‐noise ratio. The topology along with the algorithm provides a connection with a maximum coverage distance of 180 km and minimum data rate around 0.6 Mbps with 2 interconnection clusters. The presence of more interconnection clusters makes the coverage distance, data rate, and reliability greatly improved. Open source network tool Network Simulator 3 is used for the topology design, algorithm implementation, and simulations. The proposed topology and algorithm when implemented can be used to provide long‐distance sea communication with improved reliability and higher data rate.

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Jitter = false(T_{4} - T_{3} false) - false(T_{2} - T_{1} false),

where T 1 and T 2 are the time of leaving the 2 consecutive packets from the source node and T 3 and T 4 are the time of arrival of those packets to the destination node.…”

Section: Algorithm Designmentioning

confidence: 99%

Section: Algorithm Designmentioning

confidence: 99%

Packet Loss = false(P_{sent} - P_{rec} false) * 100 false/ P_{sent},

where P sent and P rec are the packets sent and received during the simulation.…”

Section: Algorithm Designmentioning

confidence: 99%

Section: Other Performance Parametersmentioning

confidence: 99%

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A novel sea communication topology and IP routing algorithm by using LTE and WMN in NS‐3

Kasim

Özdemir

2017

Trans Emerging Tel Tech

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“…Delay-aware QoS scheme for mixed traffic flow in LTE networks is researched 10 . Further performance evaluation of mixed traffic scheduling algorithm in LTE network 11 , and analysis of scheduling policies for VoIP traffic in LTE-Advanced network 12 has been done. Experiments in fair scheduling for 4G networks are available 13 .…”

mentioning

confidence: 99%

Priority Scheduling Algorithm for Traffic in a LTE-based Defence Mesh Network Incorporating Centralised Scheduling Architecture

Shukla

Bhatia

2017

Def. Sc. Jl.

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<p>Wireless mesh networks (WMN) are the networks of future and can operate on multiple protocols ranging from WiFi, WiMax to long term evolution (LTE). As a recent trend defence networks are incorporating off-the-shelf, state of the art commercial protocols to enhance the capability of their networks. LTE is one such commercially available protocol which is easy to deploy and provide high data rate which can be ideally implemented in WMN for defence networks. To enable these high data rate services LTE-based defence mesh networks (DMN) are the requirement of the day and future. However, LTE-based DMN are prone to congestion at times of active operations or full-fledged war. The congestion scenarios may lead to LTE packet loss. Hence, it is pertinent that these networks amalgamate information grooming algorithms to alleviate the throughput of the network in peak hour conditions. An efficient priority scheduling algorithm based on class of service prioritisation, data rate consumption and location of origin of traffic in the DMN is proposed. The simulations demonstrate that by incorporating the proposed priority scheduling algorithm, the overall packet loss of priority packets in the DMN reduces substantially.</p>

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Packet Scheduling Algorithm in LTE/LTE-Advanced-based Cellular Networks

Shukla

Bhatia

2017

IETE Technical Review

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Performance analysis of scheduling policies for VoIP traffic in LTE-Advanced network

Cited by 11 publications

References 11 publications

A novel sea communication topology and IP routing algorithm by using LTE and WMN in NS‐3

A novel sea communication topology and IP routing algorithm by using LTE and WMN in NS‐3

Priority Scheduling Algorithm for Traffic in a LTE-based Defence Mesh Network Incorporating Centralised Scheduling Architecture

Packet Scheduling Algorithm in LTE/LTE-Advanced-based Cellular Networks

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