Service Guarantee for Inter-domain Movement in Wireless Peer-to-Peer Live Streaming System

Jiang, Wenbin; Li, Haixiang; Jin, Hai; Liao, Xiaofei

doi:10.1109/i-span.2009.96

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…5G-based mobile communication has the goal of technology development to guarantee maximum transmission rate over 50 times and user transmission rate over 1Gbps compared with 4G. In order to guarantee 5G-based mobile communication performance, it is required to develop technologies such as wireless transmission technology that increases spectral efficiency, spectrum application technology with flexibility, technology that utilizes a super high frequency band, and compact cell technology [3,14]. These technologies are important technologies for guaranteeing a performance of 5G-based mobile communications, but unfortunately, these technologies have not yet established international standardization, and research is underway as a procedure for future 5G mobile communication services.…”

Section: Related Workmentioning

confidence: 99%

“…5G is a very important communication technology that has an important influence on IoT (Internet of Things) service, and 5G is expected to expand application service category more than 4G LTE mobile communications. Since the communication devices are expected to increase explosively in the age of 5G mobile communication, congestion control of traffic between DUEs (D2D User Equipments) and CUEs (Cellular User Equipments) underlaying the 5G cellular network is an important issue to guarantee communication performance [1,2,3].…”

Section: Introductionmentioning

confidence: 99%

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Self-detecting Traffic Interference Control for Multi-zone Services under 5G-based Cellular Networks

Lee¹

2021

Preprint

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In this paper, we propose a multi-zone service control scheme to maximize the performance of each service zone when a large number of cellular service zones and D2D (Device-to-Device) service zones are composed to 5G cellular network. This paper also improves performance of service zone by dividing traffic into real-time traffic and non-real-time traffic in order to minimize traffic interference. Real-time traffic and non-real-time traffic have a significant impact on communication performance. We propose a new self-detection traffic interference control technique to improve the QoS and throughput of D2D and C2D communication in a cellular network, STICS (Self-detecting Traffic Interference Control Scheme). The proposed STICS scheme distinguishes between short-term traffic congestion process and long-term traffic congestion process according to traffic characteristics to detect and control traffic. When the proposed scheme is applied to the 5G-based cellular network environment, it is expected that the traffic type will be efficiently classified by self-detecting the traffic according to the flow. Such classified traffic is less sensitive to communication between the D2D and C2D links, thereby reducing traffic overload. We evaluate the performance of the proposed scheme through simulation and show that the proposed scheme is more efficient than other comparison schemes.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Self-detecting Traffic Interference Control for Multi-zone Services under 5G-based Cellular Networks

Lee¹

2021

Preprint

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“…Therefore, a flow sensing-based congestion detecting scheduler is proposed as an operation to control the flow rates of D2D streaming on a 5G gNB. Existing solutions have entailed algorithms for controlling flow rates such as source rate and peer-to-peer live streaming to solve such problems [ 7 , 8 ]. The sensing-based rate control mechanism under a 5G gNB channel is performed to differentiate flow streaming services despite wireless link errors and resource interference, since the transport protocol must decrease the flow rate only when the traffic in the network experiences rate inconsistency.…”

Section: Introductionmentioning

confidence: 99%

Flow Sensing-Based Congestion Detection for D2D Streaming on a 5G gNB

Lee

2021

Sensors

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To provide high-quality streaming services in device-to-device (D2D) communications, performance parameters such as encoding rate, decoding rate, and flow rate should be detected and monitored. The proposed algorithm provides a method to detect time streaming for traffic flows in D2D communications, and a sequence to detect rate imbalance. This paper proposes a new FS-CDA (flow sensing-based congestion detecting algorithm) to prevent high congestion rates and assist an optimized D2D streaming service in 5G-based wireless mobile networks. The proposed algorithm detects and controls flow imbalance for streaming segments during D2D communications, and it includes operations such as transmission rate monitoring, rate adjustment functions, and underflow and overflow sensing for these operations. The paper aims to effectively control traffic flow rates caused by adjacent channel bandwidth, high bit rate error, and heterogeneous radio interference, and to enhance the performance of D2D streaming services by performing such operations. The proposed algorithm for D2D streaming services is measured by deriving the individual weight of certain versions of a streaming flow. Based on the given operations, the simulation results indicated that the proposed algorithm has better performance with respect to average congestion control ratio, PSNR, and average throughput than other methods.

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“…Existing transcoding mechanisms for high-quality wireless mobile services can be categorized as non-continuous-based version transcoding and continuous-based version transcoding [4][5][6]. In noncontinuous-based version transcoding, non-real-time media, such as Web data, exploit the caching replacement policies inherently used in media version objects; continuous-based version transcoding exploit a proxy caching mechanism.…”

Section: Introductionmentioning

confidence: 99%

“…The coverage-based algorithm caches the original version of objects, while the demand-based algorithm caches the transcoded version. These algorithms, however, have problems of congestion and delay, since they do not consider the size of the media object, the cache capacity of the proxy, the bit rate, the frame rate, or the similarity of media objects, segment version, and sizes of media objects [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

A version adaptive transcoding (VAT) mechanism for wireless mobile coverage networking

Lee

2014

2014 World Automation Congress (WAC)

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Several factors affect the performance of streaming media services in the wireless mobile network including the handoff rate, high channel error rate, and available resources. In this paper, we further investigate the strategy of employing fuzzy similarities to a version adaptive transcoding (VAT) mechanism previously developed, by studying how the average startup latency, average response ratio, and average cache-hit ratio affect performance. To do this, we vary the media object size and the cache size; we also compare the approach to three classical schemes for media streaming. The goals of the VAT approach are to reduce network traffic, resulting from high network bandwidth demand and streaming constraints, and to enhance the performance of streaming media services. The proposed VAT mechanism tracks the relationship of partitioned object versions, performs the fuzzy similarity among versions and, considering the fuzzy similarity relationship, media object characteristics, cache capacity, and object version synchronization, minimizes the streaming distortion. Simulation results show that our proposed scheme has better streaming performance , in terms of such quality-of-service (QoS) metrics as average service response ratio, startup latency, and cache-hit ratio, when compared to existing server-only schemes, progressive schemes, and layered schemes.

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Service Guarantee for Inter-domain Movement in Wireless Peer-to-Peer Live Streaming System

Cited by 5 publications

References 7 publications

Self-detecting Traffic Interference Control for Multi-zone Services under 5G-based Cellular Networks

Self-detecting Traffic Interference Control for Multi-zone Services under 5G-based Cellular Networks

Flow Sensing-Based Congestion Detection for D2D Streaming on a 5G gNB

A version adaptive transcoding (VAT) mechanism for wireless mobile coverage networking

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