• Title/Summary/Keyword: Bandwidth Adaptation

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An Admission Control Mechanism to guarantee QoS of Streaming Service in WLAN (WLAN에서 스트리밍 서비스의 QoS를 보장하기 위한 승인 제어 기술)

  • Kang, Seok-Won;Lee, Hyun-Jin;Lee, Kyu-Hwan;Kim, Jae-Hyun;Roh, Byeong-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.6B
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    • pp.595-604
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    • 2009
  • The HCCA reserves the channel resources based on the mean data rate in IEEE 802.11e. It may cause either the waste of channel resource or the increase of transmission delay at MAC layer if the frame size is rapidly varied when a compressed mode video codec such as MPEG video is used. To solve these problems, it is developed that the packet scheduler allocates the wireless resource adaptation by according to the packet size. However, it is difficult to perform the admission control because of the difficulty with calculating the available resources. In this paper, we propose a CAC mechanism to solve the problem that may not satisfy the QoS by increasing traffic load in case of using EDCA. Especially, the proposed CAC mechanism calculates the EB of TSs using the traffic information transmitted by the application layer and the number of average transmission according to the wireless channel environment, and then determines the admission of the TS based on the EB. According to the simulation results of the proposed CAC mechanism, it admitted the TSs under the loads which are satisfied within the delay bound. Therefore, the proposed mechanism guarantees QoS of streaming services effectively.

Monitoring-based Coordination of Network-adaptive FEC for Wireless Multi-hop Video Streaming (무선 멀티 홉 비디오 스트리밍을 위한 모니터링 기반의 네트워크 적응적 FEC 코디네이션)

  • Choi, Koh;Yoo, Jae-Yong;Kim, Jong-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.2A
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    • pp.114-126
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    • 2011
  • Video streaming over wireless multi-hop networks(WMNs) contains the following challenges from channel fading and variable bandwidth of wireless channel, and it cause degradation of video streaming performance. To overcome the challenges, currently, WMNs can use Forward Error Correction (FEC) mechanism. In WMNs, traditional FEC schemes, E2E-FEC and HbH-FEC, for video streaming are applied, but it has long transmission delay, high computational complexity and inefficient usage of resource. Also, to distinguish network status in streaming path, it has limitation. In this paper, we propose monitoring-based coordination of network-adaptive hop-to-end(H2E) FEC scheme. To enable proposed scheme, we apply a centralized coordinator. The coordinator has observing overall monitoring information and coordinating H2E-FEC mechanism. Main points of H2E-FEC is distinguishing operation range as well as selecting FEC starting node and redundancy from monitored results in coordination. To verify the proposed scheme, we perform extensive experiment over the OMF(Orbit Measurement Framework) and IEEE 802.1la-based multi-hop WMN testbed, and we carry out performance improvement, 17%, from performance comparison by existing FEC scheme.

Data Allocation for Multiple Broadcast Channels (다중 방송채널을 위한 데이타 할당)

  • Jung Sungwon;Nam Seunghoon;Jeong Horyun;Lee Wontaek
    • Journal of KIISE:Databases
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    • v.33 no.1
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    • pp.86-101
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    • 2006
  • The bandwidth of channel and the power of the mobile devices are limited on a wireless environment. In this case, data broadcast has become an excellent technique for efficient data dissemination. A significant amount of researches have been done on generating an efficient broadcast program of a set of data items with different access frequencies over multiple wireless broadcast channels as well as single wireless broadcast channel. In this paper, an efficient data allocation method over multiple wireless broadcasting channels is explored. In the traditional approaches, a set of data items are partitioned into a number of channel based on their access probabilities. However, these approaches ignore a variation of access probabilities of data items allocated in each channel. In practice, it is difficult to have many broadcast channels and thus each channel need to broadcast many data items. Therefore, if a set of data items broadcast in each channel have different repetition frequencies based on their access frequencies, it will give much better performance than the traditional approaches. In this paper, we propose an adaptive data allocation technique based on data access probabilities over multiple broadcast channels. Our proposed technique allows the adaptation of repetition frequency of each data item within each channel by taking its access probabilities into at count.