TY - JOUR
T1 - Probabilistically Coded Modulation Formats for 5G Mobile Fronthaul Networks
AU - Yang, Mingwei
AU - Rastegarfar, Houman
AU - Djordjevic, Ivan B.
N1 - Funding Information:
Manuscript received December 4, 2018; revised May 2, 2019 and June 6, 2019; accepted June 7, 2019. Date of publication June 13, 2019; date of current version July 31, 2019. This work was supported in part by the National Science Foundation (NSF) CIAN ERC (EEC-0812072). (Corresponding author: Mingwei Yang.) M. Yang and I. B. Djordjevic are with the Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721 USA (e-mail: mingweiyang@email.arizona.edu; ivan@email.arizona.edu).
Publisher Copyright:
© 1983-2012 IEEE.
PY - 2019/8/15
Y1 - 2019/8/15
N2 - The centralized/cloud radio access network architecture is being considered as a promising solution for fifth-generation cellular networks. In particular, the stringent capacity and latency requirements of the fronthaul segment call for innovations in the design of new architectures and transceivers that support adaptive communication resource allocation between centralized baseband processing units and remote radio heads. In this paper, we propose probabilistically coded three-level pulse amplitude modulation and five-point quadrature amplitude modulation schemes in hybrid mobile fronthaul (MFH) networks that support both coherent detection and direct detection. We propose encoding and decoding algorithms and optimize the decoder configuration through simulations. Based on a distributed pseudorandom encoding technique developed in our earlier work, we adapt the modulation type and code rate per fronthaul connection in real-Time. Using two separate software-defined networking enabled downlink and uplink transmission testbeds employing code division multiplexing technology, we demonstrate the benefits of our proposed modulation formats for multicast transmission in hybrid networking scenarios as well as the advantages of adaptive bidirectional transmission in MFH networks.
AB - The centralized/cloud radio access network architecture is being considered as a promising solution for fifth-generation cellular networks. In particular, the stringent capacity and latency requirements of the fronthaul segment call for innovations in the design of new architectures and transceivers that support adaptive communication resource allocation between centralized baseband processing units and remote radio heads. In this paper, we propose probabilistically coded three-level pulse amplitude modulation and five-point quadrature amplitude modulation schemes in hybrid mobile fronthaul (MFH) networks that support both coherent detection and direct detection. We propose encoding and decoding algorithms and optimize the decoder configuration through simulations. Based on a distributed pseudorandom encoding technique developed in our earlier work, we adapt the modulation type and code rate per fronthaul connection in real-Time. Using two separate software-defined networking enabled downlink and uplink transmission testbeds employing code division multiplexing technology, we demonstrate the benefits of our proposed modulation formats for multicast transmission in hybrid networking scenarios as well as the advantages of adaptive bidirectional transmission in MFH networks.
KW - Adaptive modulation and coding
KW - coherent detection (CD)
KW - direct detection (DD)
KW - mobile fronthaul (MFH)
KW - pulse amplitude modulation (PAM)
KW - quadrature amplitude modulation (QAM)
KW - software-defined networking (SDN)
KW - wavelength routing
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U2 - 10.1109/JLT.2019.2922629
DO - 10.1109/JLT.2019.2922629
M3 - Article
AN - SCOPUS:85070464105
VL - 37
SP - 3882
EP - 3892
JO - Journal of Lightwave Technology
JF - Journal of Lightwave Technology
SN - 0733-8724
IS - 16
M1 - 8736362
ER -