Optimal Power Allocation in an Amplify-and-Forward Untrusted Relay Network with Imperfect Channel State Information

Mekkawy, Tamer; Yao, Rugui; Xu, Fei; Wang, Ling

doi:10.1007/s11277-018-5762-x

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…Note that, due to the randomness of CE error, we cannot easily evaluate the instantaneous achievable system rate. Generally, the ergodic rate [18] or lower bound of achievable rate are adopted. In this paper, the lower bound of achievable rate, R L k (α), is selected as the objective to optimize the TSF.…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in An Interference Alignment Based Network

Yao¹,

Yao²,

Xu³

et al. 2019

RADIOENGINEERING

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In this paper, for an interference alignment (IA) based network, a time splitting scheme for transmitting training and data symbols is optimized. The time allocated for transmitting training symbol will affect the precision of channel estimation (CE) and thus the achievable rate as well as the duration for data symbol transmission. With the least square (LS) and relaxed minimum mean square error (RMMSE) CE algorithm, the lower bounds of achievable rate are carefully derived, respectively. Then we formulate an optimization problem to maximize the lower bounds of achievable rate by optimizing the time splitting factor (TSF). The existence of optimum is first proved. Then, regarding the complexity of solution, Taylor expansion is adopted to find the approximated optimal TSF. Numerical results are presented to show the optimal TSF can achieve larger lower bound of achievable rate over other fixed TSFs due to its adaptivity to the channel characteristics and its statistics of CE errors. Numerical results also validate that the approximation just brings out some small and acceptable errors on the system rate. In addition, RMMSE CE algorithm shows better performance than LS CE because RMMSE considers noise statistics as modification.

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Section: Optimization Problem Formulationmentioning

confidence: 99%

Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in An Interference Alignment Based Network

Yao¹,

Yao²,

Xu³

et al. 2019

RADIOENGINEERING

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“…For more practical scenarios where the channel state information cannot perfectly be known at D. Only some statistical information about channel estimation error is available to D, which means that SIC only eliminates the statistical part of √ P R Gh RD √ P D h DR j at the destination node [32]. Since we only perform SIC operations at the destination node, the channel estimation error of h SR can be ignored.…”

Section: System Model and Problem Formulation A The Proposed Two-phase Dbj Wireless-powered Relay Networkmentioning

confidence: 99%

“…Without EH technologies, power allocation is an effective method to further improve security performance in cooperative systems [28]- [35]. To optimize the transmission power of source and relay nodes, the power allocation algorithms nesting mixed-integer programming, fractional programming, dual decomposition, alternative search, exact penalty and DC programming were proposed [28]- [32]. And the PLS issues in cooperative systems and the above power allocation algorithms were summarized in [33].…”

Section: Introductionmentioning

confidence: 99%

Secrecy Transmission for Self-Energy Recycling Untrusted Relay Networks With Imperfect Channel State Information

Song

Xie

et al. 2019

IEEE Access

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For the self-energy recycling (SER) untrusted relay network, a two-phase destination-based jamming (DBJ) protocol is proposed, in which the destination transmits the jamming signal to reduce the received SNR of the untrusted relay node in the first phase and the relay node operated in full-duplex (FD) mode for simultaneous energy transfer and information relaying in the second phase. In addition, the loopback interference (LI) generated by FD relay node can be reused as part of energy. To satisfy some practical application scenarios, we consider the imperfect channel estimation error at the destination. Considering the total power constraint and the quality of service (QoS) requirement at the destination, the secrecy rate maximization problem is formulated by optimizing the transmission power of source and destination. However, the formulated problem is non-convex and difficult to solve directly. To cope with this difficulty, an iterative power allocation algorithm is proposed. The key idea of the proposed algorithm first integrates the non-convex constraint into the objective function by the exact penalty method. Then the difference of convex functions (DC) programming can be utilized to convert the non-convex objective function into the approximate convex function and the sub-optimal transmission power of source and destination can be obtained by the traditional convex programming. Simulation results show the superiority security performance of the proposed scheme with the traditional schemes.INDEX TERMS Physical layer security, self-energy recycling, power allocation, imperfect channel estimation error, secrecy rate.

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Impact of Imperfect Channel State Information on the Physical Layer Security in D2D Wireless Networks Using Untrusted Relays

Izanlou

Mohammadi

Dosaranian‐Moghadam

2020

Wireless Pers Commun

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Optimal Power Allocation in an Amplify-and-Forward Untrusted Relay Network with Imperfect Channel State Information

Cited by 6 publications

References 19 publications

Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in An Interference Alignment Based Network

Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in An Interference Alignment Based Network

Secrecy Transmission for Self-Energy Recycling Untrusted Relay Networks With Imperfect Channel State Information

Impact of Imperfect Channel State Information on the Physical Layer Security in D2D Wireless Networks Using Untrusted Relays

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