Title
Large-scale cloud radio access networks: Fundamental asymptotic analysis
Abstract
Large-scale cloud radio access network (LS-CRAN) is a highly promising next-generation cellular network architecture whereby many base stations (BSs) equipped with a massive antenna array are connected to a cloud-computing based central processor unit via digital front/backhaul links. This paper studies the asymptotic behavior of downlink (DL) performance of a LS-CRAN. As an asymptotic performance measure, the scaling exponent of the signal-to-interference-plus-noise-ratio (SINR) is derived for interference-free (IF), maximum-ratio transmission (MRT), and zero-forcing (ZF) operations. Our asymptotic analysis reveals four fundamental operating regimes and the performances of both MRT and ZF operations are fundamentally limited by the UL transmit power for estimating user's channel state information, not the DL transmit power. We obtain the conditions that MRT or ZF operation becomes interference-free, i.e., order-optimal. As higher UL transmit power is provided, more users can be associated and the data rate per user can be increased simultaneously while keeping the order-optimality.
Year
DOI
Venue
2019
10.1109/JCN.2019.000008
Journal of Communications and Networks
Keywords
Field
DocType
Asymptotic performance,cloud-RAN,massive-MIMO,ultra-dense network
Base station,Transmitter power output,Backhaul (telecommunications),Computer science,Computer network,Antenna array,Cellular network,Radio access network,Asymptotic analysis,Telecommunications link
Journal
Volume
Issue
ISSN
PP
99
1229-2370
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Kyung Jun Choi123.10
Kwang Soon Kim222232.50