Sökning: "mobile telephony"

Visar resultat 21 - 24 av 24 avhandlingar innehållade orden mobile telephony.

  1. 21. Latency Reduction for Soft Real-Time Traffic using SCTP Multihoming

    Författare :Johan Eklund; Anna Brunström; Thomas Dreibholz; Karlstads universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; transport protocol; SCTP; multihoming; latency; performance evaluation; failover; concurrent multipath transfer; scheduling; mobility; handover; Computer Science; Datavetenskap;

    Sammanfattning : More and more so-called soft real-time traffic is being sent over IP-based networks. The bursty, data-limited traffic pattern as well as the latency requirements from this traffic present challenges to the traditional communication techniques, designed for bulk traffic without considering latency. LÄS MER

  3. 22. Competitive Learning in Robust Communication

    Författare :Petter Knagenhjelm; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : A modern communication system should be accurate, reliable, robust and make efficient use of the available channel. Vector quantization is beginning to prove its effectiveness for source coding in applications such as cellular mobile telephony. The design of vector quantizers is typically done by clustering methods. LÄS MER

  4. 23. Subband Beamforming for Speech Enhancement in Hands-Free Communication

    Författare :Zohra Yermeche; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Beamforming; Speech enhancement; Subband filtering;

    Sammanfattning : Speech enhancement by means of microphone array signal processing has a major role in voice communication applications such as audio-conferencing, hands-free telephony, voice recognition and hearing aids. In these communication scenarios, the speaker is positioned at a remote distance from the microphones, which causes problems of environment noise and interfering sound corrupting the received speech. LÄS MER

  5. 24. Machine Learning for Wireless Link Adaptation : Supervised and Reinforcement Learning Theory and Algorithms

    Författare :Vidit Saxena; Joakim Jaldén; Mats Bengtsson; Hugo Tullberg; Jakob Hoydis; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wireless Communications; Reinforcement Learning; Multi-Armed Bandits; Thompson Sampling; Convex Optimization; Deep Learning; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Wireless data communication is a complex phenomenon. Wireless links encounter random, time-varying, channel effects that are challenging to predict and compensate. Hence, to optimally utilize the channel, wireless links adapt the data transmission parameters in real time. LÄS MER