Physical Layer Computation as NOMA for Integrated Wireless Systems

Hayashi, Masahito; Vázquez-Castro, M. A.

doi:10.1109/tcomm.2021.3067907

Cited by 5 publications

(3 citation statements)

References 47 publications

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“…In the classical case, our proposed type of codes are said to provide reliable physical-layer network coding because the code is directly applied to the physical signal naturally combined in the channel. However, while our proposed strategy seemingly corresponds to the quantum analog of physical-layer network coding (which has been extensively studied [28][29][30][31][32][33][34][35][36][37][38][39]), in fact it does not. The reason is that in traditional classical networks and the Internet, physical networks and their logical abstractions are purposely separately designed and managed (e.g., the former by engineers the latter by computer scientists).…”

Section: Introductionmentioning

confidence: 99%

Computation-Aided Classical-Quantum Multiple Access to Boost Network Communication Speeds

Hayashi

Vázquez-Castro

2021

Phys. Rev. Applied

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A multiple access channel (MAC) consists of multiple senders simultaneously transmitting their messages to a single receiver. For the classical-quantum case (CQ MAC), achievable rates are known assuming that all the messages are decoded, a common assumption in quantum network design. However, such a conventional design approach ignores the global network structure, i.e., the network topology. When a CQ MAC is given as a part of quantum network communication, this work shows that computation properties can be used to boost communication speeds with code design dependent on the network topology. We quantify achievable quantum communication rates of codes with the computation property for a two-sender CQ MAC. When the two-sender CQ MAC is a boson coherent channel with binary discrete modulation, we show that it achieves the maximum possible communication rate (the single-user capacity), which cannot be achieved with conventional design. Further, such a rate can be achieved by different detection methods: quantum (with and without quantum memory), on-off photon counting, and homodyne (each at different photon power). Finally, we describe two practical applications, one of which cryptographic.

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Section: Introductionmentioning

confidence: 99%

Computation-Aided Classical-Quantum Multiple Access to Boost Network Communication Speeds

Hayashi

Vázquez-Castro

2021

Phys. Rev. Applied

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“…In the classical case, our proposed type of codes are said to provide reliable physical layer network coding because the code is directly applied to the physical signal naturally combined in the channel. However, while our proposed strategy seemingly corresponds to the quantum analogue of physical layer network coding (which has been extensively studied [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39]), in fact it does not. The reason is that in traditional classical networks and Internet, physical networks and their logical abstractions are purposely separately designed and managed (e.g.…”

Section: Introductionmentioning

confidence: 99%

Computation-aided classical-quantum multiple access to boost network communication speeds

Hayashi,

Vazquez-Castro

2021

Preprint

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A multiple access channel (MAC) consists of multiple senders simultaneously transmitting their messages to a single receiver. For the classical-quantum case (cq-MAC), achievable rates are known assuming that all the messages are decoded, a common assumption in quantum network design. However, such a conventional design approach ignores the global network structure, i.e., the network topology. When a cq-MAC is given as a part of quantum network communication, this work shows that computation properties can be used to boost communication speeds with code design dependently on the network topology. We quantify achievable quantum communication rates of codes with computation property for a two-sender cq-MAC. When the two-sender cq-MAC is a boson coherent channel with binary discrete modulation, we show that it achieves the maximum possible communication rate (the single-user capacity), which cannot be achieved with conventional design. Further, such a rate can be achieved by different detection methods: quantum (with and without quantum memory), on-off photon counting and homodyne (each at different photon power). Finally, we describe two practical applications, one of which cryptographic.

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“…In addition, references [ 29 , 30 ] demonstrated the efficiency of the CAF scheme composed of binary LDPC codes under the BPSK modulation. Reference [ 31 ] compared the BPSK modulation and the method based on lattice codes for CAF. Hence, to adopt the existing communication system, we focus on the BPSK modulation.…”

Section: Introductionmentioning

confidence: 99%

Secure Physical Layer Network Coding versus Secure Network Coding

Hayashi

2021

Entropy

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When a network has relay nodes, there is a risk that a part of the information is leaked to an untrusted relay. Secure network coding (secure NC) is known as a method to resolve this problem, which enables the secrecy of the message when the message is transmitted over a noiseless network and a part of the edges or a part of the intermediate (untrusted) nodes are eavesdropped. If the channels on the network are noisy, the error correction is applied to noisy channels before the application of secure NC on an upper layer. In contrast, secure physical layer network coding (secure PLNC) is a method to securely transmit a message by a combination of coding operation on nodes when the network is composed of set of noisy channels. Since secure NC is a protocol on an upper layer, secure PLNC can be considered as a cross-layer protocol. In this paper, we compare secure PLNC with a simple combination of secure NC and error correction over several typical network models studied in secure NC.

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Physical Layer Computation as NOMA for Integrated Wireless Systems

Cited by 5 publications

References 47 publications

Computation-Aided Classical-Quantum Multiple Access to Boost Network Communication Speeds

Computation-Aided Classical-Quantum Multiple Access to Boost Network Communication Speeds

Computation-aided classical-quantum multiple access to boost network communication speeds

Secure Physical Layer Network Coding versus Secure Network Coding

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