TY - JOUR
T1 - Multi-Tenant C-RAN with Spectrum Pooling
T2 - Downlink Optimization under Privacy Constraints
AU - Park, Seok Hwan
AU - Simeone, Osvaldo
AU - Shamai, Shlomo
N1 - Funding Information:
Manuscript received October 17, 2017; revised April 5, 2018 and July 14, 2018; accepted August 10, 2018. Date of publication August 15, 2018; date of current version November 12, 2018. The work of S.-H. Park was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government under Grants NRF-2015R1C1A1A01051825 and NRF-2018R1D1A1B07040322. The work of O. Simeone was supported in part by the U.S. NSF under Grant 1525629 and by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under Grant 725731. The work of S. Shamai has been supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 694630. This paper was presented in part at the IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Kala-mata, Greece, June 2018. The review of this paper was coordinated by Dr. Y. Ji. (Corresponding author: Seok-Hwan Park.) S.-H. Park is with the Division of Electronic Engineering, Chonbuk National University, Jeonju 54896, South Korea (e-mail:,seokhwan@jbnu.ac.kr).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - Spectrum pooling allows multiple operators, or tenants, to share the same frequency bands. This paper studies the optimization of spectrum pooling for the downlink of a multi-Tenant cloud radio access network system in the presence of inter-Tenant privacy constraints. The spectrum available for downlink transmission is partitioned into private and shared subbands, and the participating operators cooperate to serve the user equipment (UEs) on the shared subband. The network of each operator consists of a cloud processor (CP) that is connected to proprietary radio units (RUs) by means of finite-capacity fronthaul links. In order to enable inter-operator cooperation, the CPs of the participating operators are also connected by finite-capacity backhaul links. Inter-operator cooperation may, hence, result in loss of privacy. Fronthaul and backhaul links are used to transfer quantized baseband signals. Standard quantization is considered first. Then, a novel approach based on the idea of correlating quantization noise signals across RUs of different operators is proposed to control the trade-off between distortion at UEs and inter-operator privacy. The problem of optimizing the bandwidth allocation, precoding, and fronthaul/backhaul compression strategies is tackled under constraints on backhaul and fronthaul capacity, as well as on per-RU transmit power and inter-operator privacy. For both cases, the optimization problems are tackled using the concave convex procedure, and extensive numerical results are provided.
AB - Spectrum pooling allows multiple operators, or tenants, to share the same frequency bands. This paper studies the optimization of spectrum pooling for the downlink of a multi-Tenant cloud radio access network system in the presence of inter-Tenant privacy constraints. The spectrum available for downlink transmission is partitioned into private and shared subbands, and the participating operators cooperate to serve the user equipment (UEs) on the shared subband. The network of each operator consists of a cloud processor (CP) that is connected to proprietary radio units (RUs) by means of finite-capacity fronthaul links. In order to enable inter-operator cooperation, the CPs of the participating operators are also connected by finite-capacity backhaul links. Inter-operator cooperation may, hence, result in loss of privacy. Fronthaul and backhaul links are used to transfer quantized baseband signals. Standard quantization is considered first. Then, a novel approach based on the idea of correlating quantization noise signals across RUs of different operators is proposed to control the trade-off between distortion at UEs and inter-operator privacy. The problem of optimizing the bandwidth allocation, precoding, and fronthaul/backhaul compression strategies is tackled under constraints on backhaul and fronthaul capacity, as well as on per-RU transmit power and inter-operator privacy. For both cases, the optimization problems are tackled using the concave convex procedure, and extensive numerical results are provided.
KW - C-RAN
KW - RAN sharing
KW - fronthaul compression
KW - multi-Tenant
KW - multivariate compression
KW - precoding
KW - privacy constraint
KW - spectrum pooling
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U2 - 10.1109/TVT.2018.2865599
DO - 10.1109/TVT.2018.2865599
M3 - Article
AN - SCOPUS:85051627602
SN - 0018-9545
VL - 67
SP - 10492
EP - 10503
JO - IEEE Transactions on Vehicular Communications
JF - IEEE Transactions on Vehicular Communications
IS - 11
M1 - 8437192
ER -