Cognitive MIMO Two-Way Relay Network: Joint Optimal Relay Selection and Spectrum Allocation

Bastami, Ali H.; Habibi, Safa

doi:10.1109/tvt.2018.2803599

Cited by 22 publications

(12 citation statements)

References 42 publications

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“…The emerging relay communication technology aims at improving the system capacity, resisting channel fading and extending the communication coverage of the wireless network [1], [2]. In this line, wireless networks implementing two-way relay assisted communications have been widely studied [3]- [5]. In such a two-way relay network, relay nodes cooperate to establish a two-way communication link between transceiver nodes.…”

Section: Introductionmentioning

confidence: 99%

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks

Zeng

Xiao

et al. 2019

IEEE Access

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For years, relay communications have been witnessed to extend the network coverage and improve the throughput and reliability of wireless systems. In this paper, we focus on throughput maximization for the two-way buffer-aided relay network with finite data buffers and limited energy battery, wherein relays have no fixed power supply and they replenish energy from the Radio Frequency (RF) signal radiated by source nodes. Specifically, by jointing the time switching and energy splitting for RF energy harvesting, we introduce a three time-subslot transmission model to balance the energy storage and the energy consumption for communication. On top of this transmission model, we formulate an optimization problem for throughput maximization of relay network. We purposely convert the non-convex optimization problem into a convex one by carefully decoupling and relaxing. Further, we theoretically derive the maximum throughput and apply an iterative algorithm to achieve the suboptimal solution based on relay selection and power allocation. In addition to solving the no-delay limited throughput maximization problem, we put forward the solution of the delay limited transmission in the two-way buffer-aided multi-relay networks. Extensive simulations have been conducted to demonstrate that our proposed strategy is able to significantly improve the sum-throughput under transmission energy and delay constraints. INDEX TERMS Two-way relay networks, buffer-aided, energy harvesting, dual optimization.

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Section: Introductionmentioning

confidence: 99%

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks

Zeng

Xiao

et al. 2019

IEEE Access

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“…Therefore, this SINR approximation can be safely used. Accordingly, the upper bound given in (5) becomes…”

Section: Impact Of Channel Estimation Errorsmentioning

confidence: 99%

“…Recently, TWRN technique has been applied to new communication scenarios. For example, Bastami et al [5] considers the multiple-input multiple-output (MIMO) TWRN scheme with overlay cognitive radio (CR) while TWRN with non-orthogonal multiple access (NOMA) is proposed in [6]. In addition, Refs.…”

Section: Introductionmentioning

confidence: 99%

Impact of Co-Channel Interference on Two-Way Relaying Networks with Maximal Ratio Transmission

2019

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Amplify-and-forward (AF) two-way relay networks (TWRNs) have become popular to provide spectrally efficient communication when range extension or energy efficiency is needed by utilizing a simple relay. However, their performance can be significantly degraded in practice due to co-channel interference (CCI) which is increasing due to growing number of wireless devices and recent cognitive and non-orthogonal multiple access techniques. With the motivation of improving the performance of AF-TWRNs, the use of maximal ratio transmission (MRT) is investigated to achieve high reliability while requiring low receiver complexity for the relay. First, the signal-to-interference-plus-noise ratio (SINR) expression is formulated and upper bounded. Then, tight lower bound expressions of outage probability (OP), sum symbol error rate (SSER), and upper bound ergodic sum rate (ESR) for each source and for the overall system are obtained. Besides, array and diversity gains are provided after deriving the asymptotic expressions of OP and SSER at high signal-to-noise ratio (SNR). Furthermore, the impact of channel estimation errors on the performance is also included. Finally, Monte Carlo simulation results which corroborate our theoretical findings are illustrated.

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“…Therefore, these methods cannot be applied directly for the EE maximisation in MIMO-CRNs. The works [18][19][20][21][22][23] studied the precoder design problem in MIMO-CRNs with the aim to either maximise the throughput or minimise the mean square error (MSE) with perfect and/or imperfect channel state information (CSI). Li et al [18] investigated the transceiver design problem with the objective of minimising the MSE, considering both perfect and imperfect CSI.…”

Section: Introductionmentioning

confidence: 99%

Joint source and relay precoder design for energy‐efficient MIMO‐cognitive relay networks

2019

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Cognitive MIMO Two-Way Relay Network: Joint Optimal Relay Selection and Spectrum Allocation

Cited by 22 publications

References 42 publications

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks

Impact of Co-Channel Interference on Two-Way Relaying Networks with Maximal Ratio Transmission

Joint source and relay precoder design for energy‐efficient MIMO‐cognitive relay networks

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