TY - JOUR
T1 - Adaptive cloud radio access networks
T2 - Compression and optimization
AU - Vu, Thang X.
AU - Nguyen, Hieu Duy
AU - Quek, Tony Q.S.
AU - Sun, Sumei
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Future mobile networks are facing with exponential data growth due to the proliferation of diverse mobile equipment and data-hungry applications. Among promising technology candidates to overcome this problem, cloud radio access network (C-RAN) has received much attention. In this paper, we investigate the design of fronthaul in C-RAN uplink by focusing on the compression and optimization in fronthaul uplinks based on the statistics of wireless fading channels. First, we derive the system block error rate (BLER) under Rayleigh fading channels. In particular, upper and lower bounds of the BLER union bound are obtained in closed-form. From these bounds, we gain insight in terms of diversity order and limits of the BLER. Next, we propose adaptive compression schemes to minimize the fronthaul transmission rate subject to a BLER constraint. Furthermore, a fronthaul rate allocation is proposed to minimize the system BLER. It is shown that the uniform rate allocation approaches the optimal scheme as the total fronthauls' bandwidth increases. Finally, numerical results are presented to demonstrate the effectiveness of our proposed optimizations.
AB - Future mobile networks are facing with exponential data growth due to the proliferation of diverse mobile equipment and data-hungry applications. Among promising technology candidates to overcome this problem, cloud radio access network (C-RAN) has received much attention. In this paper, we investigate the design of fronthaul in C-RAN uplink by focusing on the compression and optimization in fronthaul uplinks based on the statistics of wireless fading channels. First, we derive the system block error rate (BLER) under Rayleigh fading channels. In particular, upper and lower bounds of the BLER union bound are obtained in closed-form. From these bounds, we gain insight in terms of diversity order and limits of the BLER. Next, we propose adaptive compression schemes to minimize the fronthaul transmission rate subject to a BLER constraint. Furthermore, a fronthaul rate allocation is proposed to minimize the system BLER. It is shown that the uniform rate allocation approaches the optimal scheme as the total fronthauls' bandwidth increases. Finally, numerical results are presented to demonstrate the effectiveness of our proposed optimizations.
UR - http://www.scopus.com/inward/record.url?scp=85011958986&partnerID=8YFLogxK
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U2 - 10.1109/TSP.2016.2617826
DO - 10.1109/TSP.2016.2617826
M3 - Article
AN - SCOPUS:85011958986
VL - 65
SP - 228
EP - 241
JO - IEEE Transactions on Acoustics, Speech, and Signal Processing
JF - IEEE Transactions on Acoustics, Speech, and Signal Processing
SN - 1053-587X
IS - 1
M1 - 7590147
ER -