Cloud base stations and fixed mobile convergence for the next mobile network

Kieß, Wolfgang; Choi, Changsoon; Khan, Ashiq; Kozu, Kazuyuki

doi:10.1109/glocomw.2012.6477576

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Thus, by using a lower transmit power and accepting a higher P e , 9.2 dB or 88 % of transmit power could be saved. Conversely, using the same transmit energy and assuming a fiber attenuation of 0.2 db/km [15], the range could be extended by 46 km. Using wireless FH and assuming that directive mmWave links are subject to free-space path loss, the transmission distance could be increased by a factor of 2.9.…”

Section: Implications For Cloud-based Networkmentioning

confidence: 96%

An improved decoder for cloud-based mobile networks under imperfect fronthaul

Bartelt

Fettweis

2014

2014 IEEE Globecom Workshops (GC Wkshps)

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A mobile network employing a so-called cloudbased architecture requires an additional fronthaul network to forward digitized samples. With increasingly dense deployments of small cells, the availability of high quality fiber fronthaul cannot be expected at all sites. Longer fronthaul distances or the employment of wireless technologies renders fronthaul links imperfect in the sense that they introduce bit-errors into the digital samples. In this work, we build upon so-called hardware noise resilient decoders to investigate decoders for imperfect fronthaul that can achieve very good performance even under high bit-error rates on the fronthaul.

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Section: Implications For Cloud-based Networkmentioning

confidence: 96%