Seek and decode: Random multiple access with multiuser detection and physical-layer network coding

Cocco, Giuseppe; Pfletschinger, Stephan

doi:10.1109/iccw.2014.6881248

Cited by 27 publications

(25 citation statements)

References 17 publications

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“…To be able to have a complete picture of what are the performance limits of the proposed scheme as well as how the different parameters impact the behavior of the scheme, it would be desirable to have an analytical expression for the throughput or, equivalently, for the PLR. An approximate semi‐analytical expression for the throughput has been derived in the work of Cocco and Pfletschinger under the assumption that each active user accesses the channel in each slot with probability

1 - 2^{- n_{b c}}

. Such expression is based on a bound on the probability to decode the sum of a subset of colliding messages.…”

Section: Discussionmentioning

confidence: 99%

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Seek and decode: Random access with physical‐layer network coding and multiuser detection

Cocco

Pfletschinger

Navarro

2016

Trans. Emerging Tel. Tech.

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We present a novel cross layer approach to random access (RA) that combines physical-layer network coding (PLNC) with multiuser detection (MUD). PLNC and MUD are applied jointly at the physical level in order to extract any linear combination of messages experiencing a collision. The set of combinations extracted from a whole frame is then processed by the receiver to recover the original packets. A simple pre-coding stage at the transmitting terminals allows the receiver to further increase system diversity. We derive an analytical bound on the system throughput and present simulation results for the decoding at the physical level as well as several performance measures at frame level in block fading channels, namely throughput, packet loss rate and energy efficiency. The results we present are promising and suggest that a cross layer approach leveraging on the joint use of PLNC and MUD can significantly improve the performance of RA systems.

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1 - 2^{- n_{b c}}

. Such expression is based on a bound on the probability to decode the sum of a subset of colliding messages.…”

Section: Discussionmentioning

confidence: 99%

“…* *Part of the results presented in this article have been presented at ICC1 and NetCod2 conferences.…”

mentioning

confidence: 99%

Seek and decode: Random access with physical‐layer network coding and multiuser detection

Cocco

Pfletschinger

Navarro

2016

Trans. Emerging Tel. Tech.

Self Cite

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“…This paper is the first attempt in applying NCMA in multiuser NOMA system. Furthermore, the decoding in [19]- [21] is based on PHY-layer equations only, while NCMA makes use of an outer MAC-layer channel coding scheme to achieve better utilization of the PHY-layer PNC packets. Importantly, most existing works are theoretical in nature and lack implementation and experimental validations.…”

Section: B Physical-layer Network Coding For Multiple Accessmentioning

confidence: 99%

Practical Power-Balanced Non-Orthogonal Multiple Access

Pan

Liew

2017

IEEE J. Select. Areas Commun.

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This paper investigates practical 5G strategies for power-balanced non-orthogonal multiple access (NOMA). By allowing multiple users to share the same time and frequency, NOMA can scale up the number of served users and increase spectral efficiency compared with existing orthogonal multiple access (OMA). Conventional NOMA schemes with successive interference cancellation (SIC) do not work well when users with comparable received powers transmit together. To allow power-balanced NOMA (more exactly, near power-balanced NOMA), this paper investigates a new NOMA architecture, named Network-Coded Multiple Access (NCMA). A distinguishing feature of NCMA is the joint use of physical-layer network coding (PNC) and multiuser decoding (MUD) to boost NOMA throughputs. We first show that a simple NCMA architecture in which all users use the same modulation, referred to as rate-homogeneous NCMA, can achieve substantial throughput improvement over SIC-based NOMA under near power-balanced scenarios. Then, we put forth a new NCMA architecture, referred to as rate-diverse NCMA, in which different users may adopt different modulations commensurate with their relative SNRs. A challenge for rate-diverse NCMA is the design of a channel-coded PNC system. This paper is the first attempt to design channelcoded rate-diverse PNC. Experimental results on our software-defined radio prototype show that the throughput of rate-diverse NCMA can outperform the state-of-the-art rate-homogeneous NCMA by 80%. Overall, rate-diverse NCMA is a practical solution for near power-balanced NOMA.

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“…However, [15], [17] only compute one equation for each overlapped packet, whereas NCMA can have more than one equation for each overlapped packet under favourable channel condition. Furthermore, the decoding in [14], [16] is based on PHY-layer equations only, while NCMA makes use of an outer MAClayer channel coding scheme to achieve better utilization of the the PHY-layer PNC packets. Importantly, most existing works are theoretical in nature and lack implementation and experimental validations.…”

Section: B Network Coding In Multiple Access Channelsmentioning

confidence: 99%

Multiuser rate-diverse network-coded multiple access

Pan

Liew

2017

2017 IEEE International Symposium on Information Theory (ISIT)

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Abstract-This paper presents the first Network-Coded Multiple Access (NCMA) system with multiple users adopting different signal modulations, referred to as rate-diverse NCMA. A distinguishing feature of NCMA is the joint use of physical-layer network coding (PNC) and multiuser decoding (MUD) to boost throughput of multipacket reception systems. In previous NCMA systems, users adopt the same modulation regardless of their individual channel conditions. This leads to suboptimal throughput for many practical scenarios, especially when different users have widely varying channel conditions. A rate-diverse NCMA system allows different users to use modulations that are commensurate with their channel conditions. A key challenge is the design of the PNC mapping and decoding mechanisms in NCMA when different users adopt different modulations. While there have been past work on non-channel-coded rate-diverse PNC, this paper is the first attempt to design channel-coded rate-diverse PNC to ensure the reliability of the overall NCMA system. Specifically, we put forth a symbol-splitting channel coding and modulation design so that PNC/NCMA can work over different modulations. We implemented our rate-diverse NCMA system on software-defined radios. Experimental results show that the throughput of rate-diverse NCMA can outperform the stateof-the-art rate-homogeneous NCMA by 80%. Overall, the introduction of rate diversity significantly boosts the NCMA system throughput in practical scenarios.

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Seek and decode: Random multiple access with multiuser detection and physical-layer network coding

Cited by 27 publications

References 17 publications

Seek and decode: Random access with physical‐layer network coding and multiuser detection

Seek and decode: Random access with physical‐layer network coding and multiuser detection

Practical Power-Balanced Non-Orthogonal Multiple Access

Multiuser rate-diverse network-coded multiple access

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