Pulse Code Modulation

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Glenn W. Parsons - One of the best experts on this subject based on the ideXlab platform.

G. Vaudreuil - One of the best experts on this subject based on the ideXlab platform.

Shilin Xiao - One of the best experts on this subject based on the ideXlab platform.

  • Digital mobile fronthaul employing differential Pulse Code Modulation with suppressed quantization noise
    Optics Express, 2017
    Co-Authors: Xiaodan Pang, Urban Westergren, Richard Schatz, Gunnar Jacobsen, Aleksejs Udalcovs, Sergei Popov, Oskars Ozolins, Lena Wosinska, Shilin Xiao
    Abstract:

    A differential Pulse Code Modulation (DPCM) based digital mobile fronthaul architecture is proposed and experimentally demonstrated. By using a linear predictor in the DPCM encoding process, the quantization noise can be effectively suppressed and a prediction gain of 7~8 dB can be obtained. Experimental validation is carried out with a 20 km 15-Gbaud/λ 4-level Pulse amplitude Modulation (PAM4) intensity Modulation and direct detection system. The results verify the feasibility of supporting 163, 122, 98, 81 20-MHz 4, 16, 64, 256 QAM based antenna-carrier (AxC) containers with only 3, 4, 5, 6 quantization bits at a sampling rate of 30.72MSa/s in LTE-A environment. Further increasing the number of quantization bits to 8 and 9, 1024 quadrature amplitude Modulation (1024 QAM) and 4096 QAM transmission can be realized with error vector magnitude (EVM) lower than 1% and 0.5%, respectively. The supported number of AxCs in the proposed DPCM-based fronthaul is increased and the EVM is greatly reduced compared to the common public radio interface (CPRI) based fronthaul that uses Pulse Code Modulation. Besides, the DPCM-based fronthaul is also experimentally demonstrated to support universal filtered multicarrier signal that is one candidate waveform for the 5th generation mobile systems.

Xiaodan Pang - One of the best experts on this subject based on the ideXlab platform.

  • Digital mobile fronthaul employing differential Pulse Code Modulation with suppressed quantization noise
    Optics Express, 2017
    Co-Authors: Xiaodan Pang, Urban Westergren, Richard Schatz, Gunnar Jacobsen, Aleksejs Udalcovs, Sergei Popov, Oskars Ozolins, Lena Wosinska, Shilin Xiao
    Abstract:

    A differential Pulse Code Modulation (DPCM) based digital mobile fronthaul architecture is proposed and experimentally demonstrated. By using a linear predictor in the DPCM encoding process, the quantization noise can be effectively suppressed and a prediction gain of 7~8 dB can be obtained. Experimental validation is carried out with a 20 km 15-Gbaud/λ 4-level Pulse amplitude Modulation (PAM4) intensity Modulation and direct detection system. The results verify the feasibility of supporting 163, 122, 98, 81 20-MHz 4, 16, 64, 256 QAM based antenna-carrier (AxC) containers with only 3, 4, 5, 6 quantization bits at a sampling rate of 30.72MSa/s in LTE-A environment. Further increasing the number of quantization bits to 8 and 9, 1024 quadrature amplitude Modulation (1024 QAM) and 4096 QAM transmission can be realized with error vector magnitude (EVM) lower than 1% and 0.5%, respectively. The supported number of AxCs in the proposed DPCM-based fronthaul is increased and the EVM is greatly reduced compared to the common public radio interface (CPRI) based fronthaul that uses Pulse Code Modulation. Besides, the DPCM-based fronthaul is also experimentally demonstrated to support universal filtered multicarrier signal that is one candidate waveform for the 5th generation mobile systems.

Saira Beg - One of the best experts on this subject based on the ideXlab platform.

  • Transference & Retrieval of Pulse-Code Modulation Audio over Short Messaging Service
    arXiv: Networking and Internet Architecture, 2012
    Co-Authors: Muhammad Fahad Khan, Saira Beg
    Abstract:

    The paper presents the method of transferring PCM (Pulse-Code Modulation) based audio messages through SMS (Short Message Service) over GSM (Global System for Mobile Communications) network. As SMS is text based service, and could not send voice. Our method enables voice transferring through SMS, by converting PCM audio into characters. Than Huffman coding compression technique is applied in order to reduce numbers of characters which will latterly set as payload text of SMS. Testing the said method we develop an application using J2me platform

  • Transference& Retrieval of Pulse-Code Modulation Audio over Short Messaging Service
    International Journal of Computer Applications, 2011
    Co-Authors: Muhammad Fahad Khan, Saira Beg
    Abstract:

    The paper presents the method of transferring PCM (Pulse-Code Modulation) based audio messages through SMS (Short Message Service) over GSM (Global System for Mobile Communications) network. As SMS is text based service, and could not send voice. Our method enables voice transferring through SMS, by converting PCM audio into characters. Than Huffman coding compression technique is applied in order to reduce numbers of characters which will latterly set as payload text of SMS. Testing the said method we develop an application using J2me platform. General Terms Second Generation Network, GSM