Study Of Resilient Packet Ring Based On OPNET

10.32920/ryerson.14645313 ◽

2021 ◽

Author(s):

Xin Zhang

Keyword(s):

Work Group ◽

Control Algorithms ◽

Data Traffic ◽

Round Trip ◽

New Approach ◽

Logic Control ◽

Trip Time ◽

Resilient Packet Ring ◽

Key Parameter ◽

Ieee 802.17

Resilient Packet Ring (RPR) is the next generation layer-2 protocol optimized for transporting data traffic rather than circuit-based traffic. In this thesis, we design and evaluate our own RPR simulation model that is fully compliant with the latest proposal promoted by IEEE 802.17 Work Group. By using this model, we investigate the limitations of the fairness control algorithms proposed by IEEE 802.17 WG. An alternative design, namely, Fuzzy Logic Control, is considered to overcome the shortcomings. Real world scenarious are simulated using this new approach. The simulation results justify the application of this new RPR model, and support its validity. Furthermore, by using this model we also derived an equation to calculate Fairness Round Trip Time (FRTT), which is a key parameter in designing an appropriated size for Secondary Transit Queue (STQ) in RPR. This equation overcomes the limitations proposed by IEEE 802.17 Work Group.

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Software-Defined Collaborative Offloading for Heterogeneous Vehicular Networks

Wireless Communications and Mobile Computing ◽

10.1155/2018/3810350 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9 ◽

Cited By ~ 11

Author(s):

Wei Quan ◽

Kai Wang ◽

Yana Liu ◽

Nan Cheng ◽

Hongke Zhang ◽

...

Keyword(s):

Vehicular Networks ◽

Loss Rate ◽

State Of The Art ◽

Vertex Cover ◽

High Mobility ◽

Data Traffic ◽

Round Trip ◽

Mobile Data ◽

Trip Time ◽

Communication Links

Vehicle-assisted data offloading is envisioned to significantly alleviate the problem of explosive growth of mobile data traffic. However, due to the high mobility of vehicles and the frequent disruption of communication links, it is very challenging to efficiently optimize collaborative offloading from a group of vehicles. In this paper, we leverage the concept of Software-Defined Networking (SDN) and propose a software-defined collaborative offloading (SDCO) solution for heterogeneous vehicular networks. In particular, SDCO can efficiently manage the offloading nodes and paths based on a centralized offloading controller. The offloading controller is equipped with two specific functions: the hybrid awareness path collaboration (HPC) and the graph-based source collaboration (GSC). HPC is in charge of selecting the suitable paths based on the round-trip time, packet loss rate, and path bandwidth, while GSC optimizes the offloading nodes according to the minimum vertex cover for effective offloading. Simulation results are provided to demonstrate that SDCO can achieve better offloading efficiency compared to the state-of-the-art solutions.

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An Online Framework for Flow Round Trip Time Measurement

IEICE Transactions on Communications ◽

10.1587/transcom.e97.b.2145 ◽

2014 ◽

Vol E97.B (10) ◽

pp. 2145-2156

Author(s):

Xinjie GUAN ◽

Xili WAN ◽

Ryoichi KAWAHARA ◽

Hiroshi SAITO

Keyword(s):

Time Measurement ◽

Round Trip Time ◽

Round Trip ◽

Trip Time ◽

Flow Round

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Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems

Sensors ◽

10.3390/s21113584 ◽

2021 ◽

Vol 21 (11) ◽

pp. 3584

Author(s):

Milembolo Miantezila Junior ◽

Bin Guo ◽

Chenjie Zhang ◽

Xuemei Bai

Keyword(s):

Interference Cancellation ◽

Communication Systems ◽

Spectrum Sharing ◽

Null Space ◽

Base Station ◽

Base Stations ◽

Small Cells ◽

Data Traffic ◽

New Approach ◽

Lte Advanced

Cellular network operators are predicting an increase in space of more than 200 percent to carry the move and tremendous increase of total users in data traffic. The growing of investments in infrastructure such as a large number of small cells, particularly the technologies such as LTE-Advanced and 6G Technology, can assist in mitigating this challenge moderately. In this paper, we suggest a projection study in spectrum sharing of radar multi-input and multi-output, and mobile LTE multi-input multi-output communication systems near m base stations (BS). The radar multi-input multi-output and mobile LTE communication systems split different interference channels. The new approach based on radar projection signal detection has been proposed for free interference disturbance channel with radar multi-input multi-output and mobile LTE multi-input multi-output by using a new proposed interference cancellation algorithm. We chose the channel of interference with the best free channel, and the detected signal of radar was projected to null space. The goal is to remove all interferences from the radar multi-input multi-output and to cancel any disturbance sources from a chosen mobile Communication Base Station. The experimental results showed that the new approach performs very well and can optimize Spectrum Access.

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