Digital mobile fronthaul employing differential pulse code modulation with suppressed quantization noiseShow others and affiliations
2017 (English)In: Optics Express, E-ISSN 1094-4087, Vol. 25, no 25, p. 31921-31936
Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
2017. Vol. 25, no 25, p. 31921-31936
Keywords [en]
Codes (symbols), Differential pulse code modulation, Modulation, Pulse amplitude modulation, Pulse code modulation, Radio broadcasting, Signal processing, Vector quantization, Encoding process, Error vector magnitude, Experimental validations, Intensity modulation and direct detections, Linear predictors, Multicarrier signal, Quantization noise, Radio interface, Quadrature amplitude modulation
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33048DOI: 10.1364/OE.25.031921Scopus ID: 2-s2.0-85038213036OAI: oai:DiVA.org:ri-33048DiVA, id: diva2:1173159
2018-01-112018-01-112024-03-05Bibliographically approved