• Title/Summary/Keyword: traffic adaptive

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An Adaptive Control of Individual Channels' Transmission Power in Femtocells (펨토셀 환경에서 채널별 전송전력의 적응적 제어 기법)

  • Lee, Hoseog;Cho, Ho-Shin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37A no.9
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    • pp.762-771
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    • 2012
  • In this paper, we propose an adaptive power control scheme employing a self-optimization concept in femtocell systems, in order to improve system capacity, thereby reducing call-drop probability. In the proposed scheme, each femto base station(FBS) controls individual channel's transmission power base on two parameters; the neighboring cell's transmission power for each individual channel which is delivered from a femto-gateway and the received power strength from neighboring cells which is periodically measured by means of a spectrum sensing. Adaptive adjustment of individual channel's transmission power in accordance with femto mobile station(FMS) mobility features can also reduce undesirable handovers and evenly distribute traffic load over all femtocells. In addition, the manipulative control of channel's transmission power is able to keep the system coverage and the call-drop probability within an acceptable range, regardless of density of femtocells. Computer simulation shows that the proposed scheme outperforms existing schemes in terms of the system coverage and the call-drop probability.

Dynamic Bandwidth Allocation Scheme with Considering Downstream Traffic in EPON (EPON에서 하향 데이터 전송을 고려한 동적 대역폭 할당 방안)

  • Kim Eun-Chul;Lee Kang-Won;Choi Young-Soo;Cho You-Ze
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.12
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    • pp.37-44
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    • 2005
  • This paper proposes a hybrid scheme for dynamic bandwidth allocation(DBA) in Ethernet passive optical network(EPON), which combines advantages of adaptive cycle and constant cycle-based schemes. The proposed scheme is based on IPACT scheme, but it operates as adaptive cycle or constant cycle mode according to the queue status of optical line terminal(OLT) for downstream transmission. Simulation results showed that the proposed scheme could achieve a similar throughput in downstream transmission to a constant cycle-based DBA scheme, while producing a similar delay performance to the IPACT scheme in upstream transmission.

Adaptive Periodic MLB Algorithm for LTE Femtocell Networks (LTE 펨토셀 네트워크를 위한 적응적 주기의 MLB 알고리즘)

  • Kim, Woojoong;Lee, Jeong-Yoon;Suh, Young-Joo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.9
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    • pp.764-774
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    • 2013
  • The number of users and data packets has increased in 4G cellular networks. Therefore, 4G cellular network providers suffer from the network capacity problem. In order to solve this problem, femtocell concept is suggested. It can reduce the coverage hole and enhance the QoS. However, only small number of femtocells experience the large amount of loads. To solve this problem, Mobility Load Balancing (MLB) algorithm is suggested, which is a kind of load balancing algorithm. To distribute the traffic load, MLB algorithm modifies the handover region. If the handover region is reduced by MLB algorithm, some cell edge users are compulsively handed over to neighbor femtocell. In this paper, we analyze the relation between MLB performing period and performance indicators. For example throughput and blocking probability is reduced, if period is decreased. On the contrast, if period is increased, the number of handover frequency is decreased. Using this relation, we suggest the adaptive periodic MLB algorithm. This algorithm includes the advantage of both long period and short period MLB algorithm, such as high throughput, the small number of handover frequency, and low blocking probability.

Adaptive Congestion Control for Effective Data Transmission in Wireless Sensor Networks (센서네트워크에서의 효율적인 데이터 전송을 위한 적응적 혼잡 제어)

  • Lee, Joa-Hyoung;Gim, Dong-Gug;Jung, In-Bum
    • The KIPS Transactions:PartC
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    • v.16C no.2
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    • pp.237-244
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    • 2009
  • The congestion in wireless sensor network increases the ratio of data loss and causes the delay of data. The existing congestion protocols for wireless sensor network reduces the amount of transmission by control the sampling frequency of the sensor nodes related to the congestion when the congestion has occurred and was detected. However, the control method of sampling frequency is not applicable on the situation which is sensitive to the temporal data loss. In the paper, we propose a new congestion control, ACT - Adaptive Congestion conTrol. The ACT monitors the network traffic with the queue usage and detects the congestion based on the multi level threshold of queue usage. Given network congestion, the ACT increases the efficiency of network by adaptive flow control method which adjusts the frequency of packet transmission and guarantees the fairness of packet transmission between nodes. Furthermore, ACT increases the quality of data by using the variable compression method. Through experiment, we show that ACT increases the network efficiency and guarantees the fairness to sensor nodes compared with existing method.

Survey on Deep learning-based Content-adaptive Video Compression Techniques (딥러닝 기반 컨텐츠 적응적 영상 압축 기술 동향)

  • Han, Changwoo;Kim, Hongil;Kang, Hyun-ku;Kwon, Hyoungjin;Lim, Sung-Chang;Jung, Seung-Won
    • Journal of Broadcast Engineering
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    • v.27 no.4
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    • pp.527-537
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    • 2022
  • As multimedia contents demand and supply increase, internet traffic around the world increases. Several standardization groups are striving to establish more efficient compression standards to mitigate the problem. In particular, research to introduce deep learning technology into compression standards is actively underway. Despite the fact that deep learning-based technologies show high performance, they suffer from the domain gap problem when test video sequences have different characteristics of training video sequences. To this end, several methods have been made to introduce content-adaptive deep video compression. In this paper, we will look into these methods by three aspects: codec information-aware methods, model selection methods, and information signaling methods.

On the efficient buffer management and early congestion detection at a Internet gateway based on the TCP flow control mechanism (TCP 흐름제어를 이용한 인터넷 게이트웨이에서의 예측기반 버퍼관리 및 조기혼잡예측기법)

  • Yeo Jae-Yung;Choe Jin-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.1B
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    • pp.29-40
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    • 2004
  • In this paper, we propose a new early congestion detection and notification technique called QR-AQM. Unlike RED and it's variation, QR-AQM measures the total traffic rate from TCP sessions, predicts future network congestion, and determine the packet marking probability based on the measured traffic rate. By incorporating the traffic rate in the decision process of the packet marking probability, QR-AQM is capable of foreseeing future network congestion as well as terminating congestion resolution procedure in much more timely fashion than RED. As a result, simulation results show that QR-AQM maintains the buffer level within a fairly narrow range around a target buffer level that may be selected arbitrarily as a control parameter. Consequently, compared to RED and its variations, QR-AQM is expected to significantly reduce the jitter and delay variance of packets traveling through the buffer while achieving nearly identical link utilization.

The Control Mechanism on SVC holding time of Core Network in GPRS/ UMTS Network (GPRS/UMTS의 Core Network에서 SVC holding time 제어기법)

  • Kwak, Yong-Won;Park, Ung;Jeong, Young-Sik;Min, Jae-Hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.05a
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    • pp.648-652
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    • 2003
  • In the GPRS(General Packet Radio Service) network, the transport layer between SGSN(Serving GPRS Support Node) and GGSN (Gateway GPRS Support Node) is based on IP-Over ATM Network. which means that the connectionless IP traffic is transmitted through connection oriented ATM transport layer. Efficient resource management is needed to perform connection and disconnection of the pertinent VC because of the connectionless IP traffic being passed through ATM transport layer In this paper, Internet Web service traffic model in the GPRS network is applied to the various VC holding Cost Pricing Model. each method is compared through analyzing each VC utilization and setup rate.

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Adaptive Realtime Traffic Allocation Algorithm for Streaming Data (스트리밍 데이터를 위한 적응적 실시간 트래픽 할당 기법)

  • Jin Hyun-Joon;Seo Sang-Jin;Park Nho-Kyung
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.3 s.345
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    • pp.111-117
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    • 2006
  • Developing a home network and a ubiquitous infrastructure requires various communication techniques and devices with more advanced hardware. With this development, increasing realtime access to multimedia data results in rapid degradation of qualify for multimedia playback. This paper presents a traffic allocation technique based on MPP(Media Preference for Presentation) that can steadily maintain multimedia playback quality by adaptively allocating streaming traffic requested from clients with different playback performances. Media preference is defined in accordance with content popularity and playback performance of client devices. Through experiments when requested stream data exceeds processing ability of a midea server, the proposed allocation technique shows 10% quality improvement comparing to the system without applying the proposed allocation technique.

Adaptive Counting Line Detection for Traffic Analysis in CCTV Videos (CCTV영상 내 교통량 분석을 위한 적응적 계수선 검출 방법)

  • Jung, Hyeonseok;Lim, Seokjae;Lee, Ryong;Park, Minwoo;Lee, Sang-Hwan;Kim, Wonjun
    • Journal of Broadcast Engineering
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    • v.25 no.1
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    • pp.48-57
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    • 2020
  • Recently, with the rapid development of image recognition technology, the demand for object analysis in road CCTV videos is increasing. In this paper, we propose a method that can adaptively find the counting line for traffic analysis in road CCTV videos. First, vehicles on the road are detected, and the corresponding positions of the detected vehicles are modeled as the two-dimensional pointwise Gaussian map. The paths of vehicles are estimated by accumulating pointwise Gaussian maps on successive video frames. Then, we apply clustering and linear regression to the accumulated Gaussian map to find the principal direction of the road, which is highly relevant to the counting line. Experimental results show that the proposed method for detecting the counting line is effective in various situations.

Traffic characteistics and effective bandwidth estimation for MPEG sources (MPEG 입력 신호원의 트래픽 특성과 효과적 대역폭 추정)

  • 유흥균
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.6
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    • pp.1490-1500
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    • 1996
  • One of the important issues for multimedia communications over ATM netowrks is efficient use of net-work resources since transmitting video at low cost requires high utilization of channel bandwidth. In this paper, we propose an effective bandwidth estimation scheme for MPEG sources in ATM networks. It has been known difficult to allocate effective transmission bandwidth to MPEG sources due to its bursty charactersitics. The MPEG traffic stream can bemodeled using five traffic parameters:service rate, burst load ratio, interburst load ratio, burst period, and interburst period. Using these parameters, a transmission bandwidth for each source can be estimated, and the estimated bandwidth is applied synchronously to reduce the queue size in a buffer. For a simple network modelof a high speed link that multiplexes a number of virtual-circuit connections, simulations on adaptive bandwidth allocation were performed, and the results show that the queueing delay is significantly reduced, when compared to a fixed bandwidth allocation.

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