Compute-and-Forward on a Multi-User Multi-Relay Channel

Soussi, Mohieddine El; Zaidi, Abdellatif; Vandendorpe, Luc

doi:10.1109/lwc.2014.2362927

Cited by 13 publications

(8 citation statements)

References 13 publications

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“…The authors propose an iterative coordinate descent method that focuses on the power allocation and integer coefficient selection processes for the optimization problem. The results reveal that CP&F shows better performance than lattice-based C&F. This work is later extended to a multi-user multi-relay cooperative scenario in [62]. Cooperative networks are also considered in [63]- [67].…”

Section: Sum Ratesmentioning

confidence: 95%

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

Altun,

Kurt,

Ozdemir

2021

Preprint

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In conventional communication systems, any interference between two communicating points is regarded as unwanted noise since it distorts the received signals. On the other hand, allowing simultaneous transmission and intentionally accepting the interference of signals and even benefiting from it have been considered for a range of wireless applications. As prominent examples, non-orthogonal multiple access (NOMA), joint source-channel coding, and the computation codes are designed to exploit this scenario. They also inspired many other fundamental works from network coding to consensus algorithms. Especially, federated learning is an emerging technology that can be applied to distributed machine learning networks by allowing simultaneous transmission. Although various simultaneous transmission applications exist independently in the literature, their main contributions are all based on the same principle; the superposition property. In this survey, we aim to emphasize the connections between these studies and provide a guide for the readers on the wireless communication techniques that benefit from the superposition of signals. We classify the existing literature depending on their purpose and application area and present their contributions. The survey shows that simultaneous transmission can bring scalability, security, low-latency, lowcomplexity and energy efficiency for certain distributed wireless scenarios which are inevitable with the emerging Internet of things (IoT) applications.

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Section: Sum Ratesmentioning

confidence: 95%

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

Altun,

Kurt,

Ozdemir

2021

Preprint

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“…The optimization of the sum rate is partially dealt with in [26], [27] and [28]. In [26], [27], relay and user selection for a CBS employing C&F and its low complexity version, named Quantized C&F [29], are investigated.…”

Section: A Motivationmentioning

confidence: 99%

Cloud Compute-and-Forward With Relay Cooperation

Pappi

Diamantoulakis

Otrok

et al. 2015

IEEE Trans. Wireless Commun.

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Abstract-We study a cloud network with M distributed receiving antennas and L users, which transmit their messages towards a centralized decoder (CD), where M ≥ L. We consider that the cloud network applies the Compute-and-Forward (C&F) protocol, where L antennas/relays are selected to decode integer equations of the transmitted messages. In this work, we focus on the best relay selection and the optimization of the Physical-Layer Network Coding (PNC) at the relays, aiming at the throughput maximization of the network. Existing literature optimizes PNC with respect to the maximization of the minimum rate among users. The proposed strategy maximizes the sum rate of the users allowing non-symmetric rates, while the optimal solution is explored with the aid of the Pareto frontier. The problem of relay selection is matched to a coalition formation game, where the relays and the CD cooperate to maximize their profit. Efficient coalition formation algorithms are proposed, which perform joint relay selection and PNC optimization. Simulation results show that a considerable improvement is achieved compared to existing results, both in terms of the network sum rate and the players' profits.Index Terms-Cloud radio access networks, cloud base stations, compute-and-forward, physical layer network coding, relay selection, cooperative game theory.

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“…Although cooperative and centralized approaches decrease the probability of rank failure significantly, they require additional signaling overhead, feedback channels, or global CSI [19]- [21]. Assuming global CSI at the users, [22], [23], and [24] design transmit precoders for the users, to reduce the probability of selecting dependent equations by the relays. However, none of the mentioned methods remove the rank failure problem completely within the practical constraints of the system.…”

Section: Introductionmentioning

confidence: 99%

Robust Successive Compute-and-Forward over Multi-User Multi-Relay Networks

Hejazi¹,

Azimi-Abarghouyi²,

Makki³

et al. 2016

Preprint

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This paper develops efficient Compute-and-forward (CMF) schemes in multi-user multi-relay networks. To solve the rank failure problem in CMF setups and to achieve full diversity of the network, we introduce two novel CMF methods, namely, extended CMF and successive CMF. The former, having low complexity, is based on recovering multiple equations at relays. The latter utilizes successive interference cancellation (SIC) to enhance the system performance compared to the state-of-the-art schemes. Both methods can be utilized in a network with different number of users, relays, and relay antennas, with negligible feedback channels or signaling overhead. We derive new concise formulations and explicit framework for the successive CMF method as well as an approach to reduce its computational complexity. Our theoretical analysis and computer simulations demonstrate the superior performance of our proposed CMF methods over the conventional schemes. Furthermore, based on our simulation results, the successive CMF method yields additional signal-to-noise ratio gains and shows considerable robustness against channel estimation error, compared to the extended CMF method.

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Compute-and-Forward on a Multi-User Multi-Relay Channel

Cited by 13 publications

References 13 publications

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

Cloud Compute-and-Forward With Relay Cooperation

Robust Successive Compute-and-Forward over Multi-User Multi-Relay Networks

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