On the Energy–Delay Tradeoff and Relay Positioning of Wireless Butterfly Networks

Vien, Quoc-Tuan; Nguyen, Huan X.; Stewart, Brian G.; Choi, Jinho; Tu, Wei

doi:10.1109/tvt.2014.2321229

Cited by 7 publications

(6 citation statements)

References 34 publications

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“…To cope with this issue, network coding function is introduced to reduce the resource consumption for signal forwarding at ST, alleviating the burden of spatial multiplexing. Meanwhile, according to the research on NC in traditional cooperation networks [ 24 , 25 ], it is the necessary condition that NC is preferable to that the transmission is symmetrical. As a result, we present the NC-assisted ESDC scheme for two-to-one cognitive cooperation to deal with the scenario of insufficient antenna number at ST and symmetrical primary transmission.…”

Section: Nc-assisted Energy and Spectrum Dual-cooperation For Symmmentioning

confidence: 99%

“…Herein, the meaning of symmetrical primary transmission is two fold, as shown in Figure 2 . Firstly, the two primary transmit-receive pairs must confirm to a so-called “butterfly topology” [ 25 ]. That is, both PTs are far from their own receivers and near to the receiver of the other one.…”

Section: Nc-assisted Energy and Spectrum Dual-cooperation For Symmmentioning

confidence: 99%

“…Moreover, inspired by the idea of network coding (NC) [ 24 , 25 , 26 ], in the case of insufficient spatial degree of freedom (DoF) and symmetrical primary transmissions, an NC-assisted two-to-one ESDC model is further proposed for cognitive cooperation networks to improve the cooperative transmission capability, and hence increase the energy utilization efficiency. Specifically, for symmetrical primary transmissions, two primary transmit–receive pairs form a butterfly network topology, and NC is adopted at the secondary transmitter, i.e., recoding the decoded data of two PUs into one stream through the exclusive or (XOR) operation.…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced Paradigm for Cognitive Cooperation Networks: Two-to-One Energy and Spectrum Dual-Cooperation

Liu¹,

Wang

et al. 2018

Sensors

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In this paper, two-to-one energy and spectrum dual-cooperation (ESDC) is investigated for cognitive cooperation networks. Specifically, the energy and spectrum of two primary users (PUs) are both transferred or authorized to one multi-antenna secondary user (SU) in exchange for its aid in the signal relaying to guarantee the successful data transmission, whilst the SU, which originally owns no spectrum access privilege and limited energy storage, is also able to concurrently transmit its own data through spatial multiplexing. Moreover, network-coding is also adopted to further compress the data size and hence reduce the power consumption at SU. The formulated problem for the aforementioned two-to-one ESDC model is non-convex and intractable to solve directly. To solve the problem effectively, the Lagrangian dual methods plus fixed-point iteration methods and semidefinite relation methods are employed, and the optimal solution could be achieved through iterative optimization. Simulation results show that, compared with the traditional spectrum-only cooperation, the proposed two-to-one ESDC paradigms can greatly improve the successful transmission probability for PUs and achievable transmission rate for SU. Meanwhile, the proposed two-to-one dual-cooperation modes are significantly superior to the one-to-one cooperation mode, in terms of spectrum efficiency and energy efficiency.

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Section: Nc-assisted Energy and Spectrum Dual-cooperation For Symmmentioning

confidence: 99%

Section: Nc-assisted Energy and Spectrum Dual-cooperation For Symmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Enhanced Paradigm for Cognitive Cooperation Networks: Two-to-One Energy and Spectrum Dual-Cooperation

Liu¹,

Wang

et al. 2018

Sensors

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“…Many NC-based protocols have also been proposed for a variety of relay channel topologies. A summary of these protocols can be found in the [94][95][96], in which the NC is applied at the relay node to help two source nodes simultaneously transmit their information to two destination nodes.…”

Section: Related Work On Pnc and Ancmentioning

confidence: 99%

Optimization of Relay Placement in Wireless Butterfly Networks

Vien¹

2017

Nature-Inspired Algorithms and Applied Optimization

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“…In the proposed NOMA, the BSs of different types are allocated with different powers depending on their relative distances to the cloud‐based central station (CCS) as well as the channel quality of the wireless links. Taking into account the power consumption at various BS types and the backhauling power consumption in heterogeneous network deployment, we then analyse the EE [The EE is defined as the ratio of the total achievable throughput and the total power consumption in the whole network, which is different from the energy per bit normalised over the transmission data rate as in [17, 18]. ] of the NOMA in the practical HCRAN.…”

Section: Introductionmentioning

confidence: 99%

Optimising energy efficiency of non‐orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network

et al. 2016

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This paper studies the downlink problem of a cloud-based central station (CCS) to multiple base stations (BSs) in a heterogeneous cellular network sharing the same time and frequency resources. We adopt non-orthogonal multiple access (NOMA) and propose power allocation for the wireless downlink in the heterogeneous cloud radio access network (HCRAN). Taking into account practical channel modelling with power consumptions at BSs of different cell types (e.g. macro-cell, micro-cell, etc.) and backhauling power, we analyse the energy efficiency (EE) of the practical HCRAN utilising NOMA.Simulation results indicate that the proposed NOMA for the HCRAN outperforms the conventional orthogonal frequency division multiple access (OFDMA) scheme in terms of providing higher EE of up to four times. Interestingly, the results reveal a fact that the EE of the NOMA approach is not always an increasing function of the number of BSs but varies as a quasiconcave function. This motivates us to further introduce an optimisation problem to find the optimal number of BSs that maximises the EE of the HCRAN. It is shown that, with a low power supply at the CCS, a double number of micro BSs can be served by HCRAN providing an improved EE of up to 1.6 times compared to the macro BSs and RRHs, while they achieve the same EE performance with high-power CCS. Index TermsHeterogeneous networks; cloud radio access networks; wireless downlink; non-orthogonal multiple access; energy efficiency.

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On the Energy–Delay Tradeoff and Relay Positioning of Wireless Butterfly Networks

Abstract: Wanqing (2015) On the energy-delay tradeoff and relay positioning of wireless butterfly networks. IEEE Transactions on Vehicular Technology, 64 (1). pp. 159-172.

Cited by 7 publications

References 34 publications

An Enhanced Paradigm for Cognitive Cooperation Networks: Two-to-One Energy and Spectrum Dual-Cooperation

An Enhanced Paradigm for Cognitive Cooperation Networks: Two-to-One Energy and Spectrum Dual-Cooperation

Optimization of Relay Placement in Wireless Butterfly Networks

Optimising energy efficiency of non‐orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network

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