Channel-predictive link layer ARQ protocols in wireless networks
Başlık çevirisi mevcut değil.
- Tez No: 401739
- Danışmanlar: YRD. DOÇ. DR. SWADES DE
- Tez Türü: Yüksek Lisans
- Konular: Elektrik ve Elektronik Mühendisliği, Electrical and Electronics Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2007
- Dil: İngilizce
- Üniversite: The New Jersey Instıtute Of Technology (njıt)
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Elektrik Mühendisliği Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
Communication perforaıance över a wireless channel slıould be considered according to two main parameteıs: energy and thıoughpııt. The reliable data transfer is a key to these goals. The reliable node-to-node data transfer is performed by link Iayer protocols. One prominent appıoach is Automatic Repeat Request (ARQ) protocol. The traditional ARQ protocols attempt to recover the erroııeously transmitted frames by retransmitting those frames, regaıdless of the channel state. Since this channel state unawarc behaviour may cause unnecessary retransmissions, traditional ARQ protocols are expected to be energy inefficient. Some ideas have beeıı proposed such as stochastic learning automaton based ARQ, and channel probing based ARQ. However, these algorithms do not attempt to esti-mate the channel's existing condition. Instead, the retransmission decision is made according to a simple feedback, on whether the previous frame was successful. This thesis presents four proposed algorithms, whİch incorporates the channel state estimate in the feedback process to judiciously select a frame (re)transmission timing in-stant. Algorithms have been applied on Stop-and-Wait (S-W) ARQ, and the performance have beeıı compared with respect to simple S-W ARQ, and probing based S-W ARQ. In probing based ARQ, when the channel deteriorates, transmitter starts probing channel peri-odically, but the periodicity is chosen arbitrarily, regardless of the fading state. In contrast, the proposed algorithms estimate the channel's existing condition by usıng feedbacks, and the probing interval is chosen according to the Average Fading Duration (AFD) of received signal. Simulations are performed with Rayleigh Fading Channel. The performance re-sults show that at the cost of some additional de!ay, significiaııt gain on energy saving and throughput performance can be achieved when AFD based intelligent probing is done.
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