Load Balancing in 5G C-RAN Based on Dynamic BBU-RRH Mapping Supporting IoT Communications

Mouawad, Mostafa; Dziong, Zbigniew; El-Ashmawy, Ahmed

doi:10.1109/gciot.2018.8620146

Cited by 3 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The large amount of data generated by sensors and devices will create huge network traffic, which brings great challenges to the traditional wireless access networks. On the other hand, it has been noted in [3,4,5,6] that cloud radio access network (C-RAN) is a promising wireless network architecture which can adapt to the rapidly growing IoT traffic and improve the Quality of Service (QoS).…”

Section: Introductionmentioning

confidence: 99%

Rateless Coded Uplink Transmission Design for Multi-User C-RAN

Hong

et al. 2019

Sensors

View full text Add to dashboard Cite

Cloud radio access network (C-RAN) is a promising technology for the Internet of Things (IoT). In C-RAN, the remote radio head (RRH) and baseband unit (BBU) in the conventional base station are separated, and each BBU is backward centralized into a virtual BBU pool. In this paper, we consider the uplink transmission for the two-user C-RAN with two RRHs under a block fading channel. A novel rateless coded transmission scheme is designed. During each transmission round, each user keeps transmitting to the RRHs using Raptor code until the BBU pool feeds back an acknowledgement (ACK). With the proposed scheme, each user does not require the instant channel state information, which greatly reduces the system overhead. We also design the quantizer at the RRHs and the iterative multi-user detector and decoder at the BBU pool, based on the belief propagation (BP) algorithm. For the Raptor code applied at each user, we optimize the corresponding output node degree profile, based on extrinsic information transfer (EXIT) analysis for the decoding process at the BBU pool. The resulted degree profiles are optimal in an average sense under all possible channel states. The simulation results show that the rateless coded transmission scheme with the optimized degree profiles outperforms the benchmark degree profile in both bit error rate and average system throughput. Moreover, the achieved performance is close to the theoretical limit.

show abstract

Section: Introductionmentioning

confidence: 99%

Rateless Coded Uplink Transmission Design for Multi-User C-RAN

Hong

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…The author in [18] proposes a solution for load balancing in 5G C-RAN based on BBU-RRH dynamic mapping that supports IoT communications. For this, the Markov model is employed to predict the traffic load based on the current location of users for each cell.…”

Section: Related Workmentioning

confidence: 99%

FA-CRAN: A Firefly Algorithm for Dynamic BBU-RRH Mapping in Cloud/Centralized Radio Access Networks

Imbiriba,

da Paixão,

Santos

et al. 2024

IEEE Access

View full text Add to dashboard Cite

C-RAN (Cloud Radio Access Network) is an architecture designed to the new generation of mobile networks. It has handled many problems arising from the 4-generation network, and made several improvements, such as centralized processing and energy efficiency, among others. However, time-varying traffic, known as the tidal effect, impairs the network by making resource allocation less efficient, and this affects network performance in terms of problems related to blocked users and power consumption. This study seeks to evaluate an optimized mapping model between RRH (Remote Radio Head) and BBU (Base Band Unit) by providing a fairer and more efficient load balancing. In addition, this solution is compared with some key algorithms used in the literature for addressing optimization problems. The results demonstrated that, owing to its effective search feature, the Firefly algorithm, was the most promising system, since it obtained better performance measures than the others.

show abstract