Rateless Code Profiles Design for Uplink C-RAN under Block Fading Channel

Xu, Jiali; Hong, Peilin; Lu, Weidang; Hua, Jingyu

doi:10.1109/wcsp.2018.8555673

Cited by 3 publications

(6 citation statements)

References 19 publications

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“…Compared with our previous works [29]- [32], as for the considered C-RAN model, [29]- [31] are different from this work while [32] is the same. Nevertheless, in this work we propose a novel transmission design wherein the key idea is to deploy the distributed fronthaul compression at the RRH, while the works in [29]- [32] solely considered the conventional scalar quantizer.…”

Section: Introductioncontrasting

confidence: 68%

“…Our goal is to optimize both users' Raptor code degree profiles to maximize T, or equivalently, minimize ̅ ( , , π(1)) under the constraint that BBU pool successfully decodes both users' messages under all possible channel states. This problem can not be solved by linear programming method as in [31]. Instead, we resort to searching degree profiles to minimize the required user transmit power while ensuring successful decoding under fixed average code length ̅ ( , , π(1)) .…”

Section: Figure 7 the Relationship Between The Output And Input Ei Fmentioning

confidence: 99%

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Rateless Coded Multi-User Uplink Transmission With Distributed Fronthaul Compression in Cloud RAN

Fan

Meng

2020

IEEE Access

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In this paper, we design the rateless coded uplink transmission in cloud radio access network (C-RAN) with two users, two remote radio heads (RRHs), and one baseband processing unit (BBU) pool under block fading channel. Each user sends the Raptor coded signals continuously until receiving ACK from the BBU pool. A distributed fronthaul compression scheme with LDPC code is proposed for the RRHs which can reduce the compression loss without increasing the fronthaul traffic, through leveraging the correlation between the received signals at both RRHs. To guarantee the compression performance, the LDPC code profile is optimized based on extrinsic information transfer (EXIT) analysis. Furthermore, the Raptor code profiles applied at the two users are also jointly optimized to improve the average system throughput. Simulation results show that the proposed transmission scheme with the optimized LDPC compression code and Raptor code can achieve good BER and throughput performance. INDEX TERMS Cloud radio access network, distributed fronthaul compression, LDPC code, Raptor code, degree profile optimization.

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Section: Introductioncontrasting

confidence: 68%

Section: Figure 7 the Relationship Between The Output And Input Ei Fmentioning

confidence: 99%

Rateless Coded Multi-User Uplink Transmission With Distributed Fronthaul Compression in Cloud RAN

Fan

Meng

2020

IEEE Access

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“…On the other hand, rateless code, such as LT code and Raptor code, has been studied in various communications systems, including wireless broadcast systems [32], distributed antenna systems [33,34] and relay systems [35,36], but these cannot be directly applied to C-RAN. The application of rateless code as channel code in C-RAN has not been discussed until recently [37,38,39]. In [37], we considered Raptor code for the multi-user downlink of C-RAN, where both the precoder and the degree profile of Raptor code at the BBU pool are jointly optimized under an additive white Gaussian noise (AWGN) channel.…”

Section: Introductionmentioning

confidence: 99%

“…In [37], we considered Raptor code for the multi-user downlink of C-RAN, where both the precoder and the degree profile of Raptor code at the BBU pool are jointly optimized under an additive white Gaussian noise (AWGN) channel. In [38,39], a rateless coded transmission scheme was designed for single-user uplink C-RAN, and the degree profile of the user was optimized under both AWGN and a block fading channel.…”

Section: Introductionmentioning

confidence: 99%

“…Note that compared with the single-user case in [38,39], rateless coded transmission design for multi-user C-RAN uplink is more challenging. Firstly, the receiver structure for a multi-user case is more complicated than for a single-user case, wherein joint de-quantization, multi-user detection and channel decoding should be performed at the BBU pool.…”

Section: Introductionmentioning

confidence: 99%

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

Hong

et al. 2019

Sensors

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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.

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