Semi‐blind parallel factor based receiver for joint symbol and channel estimation in amplify‐and‐forward multiple‐input multiple‐output relay systems

Du, Jianhe; Yuan, Chaowei; Zhang, Jinbo

doi:10.1049/iet-com.2014.0553

Cited by 16 publications

(8 citation statements)

References 30 publications

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“…Just like the other trade-off problem, we must choose either accuracy or low cost. More complicated channel estimation may be found in [42][43][44][45]; however, these approaches must be modified before they directly use in the multiuser relay channel.…”

Section: Up-link Channelmentioning

confidence: 99%

General Secure Information Exchange Protocol for a Multiuser MIMO Relay Channel

Wang

2019

Entropy

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Secure information exchange occurs in many recently emerging cooperative-based networks, such as 5G networks (especially those with a Device to Device architecture), the Internet of Things, and vehicular ad hoc networks. However, the existing information exchange protocols only focus on either pairwise information exchange or group information exchange, and none of these protocols enable private and public information exchange to occur simultaneously. Thus, a general secure information exchange protocol for a multiuser channel is desirable. With this motivation, this paper investigates simultaneous private and public information exchange in a Multiple Inputs Multiple Outputs (MIMO) multiuser relay channel. In an aim to achieve this goal, signal alignment is chosen as the core technique. With the designed precoding matrix for each user, private information is aligned with its exchange partner, and public information forms a coding chain at the relay. With the aligned private signal and public coding chain, neither an untrusted relay nor external eavesdroppers can recover the original individual information. Performance analyses of the proposed protocol are conducted. First, we conduct transmission performance analyses from the perspective of time slot cost. Second, we conduct a security analysis for private information exchange and public information exchange. Third, we conduct secrecy sum-rate analysis for three attack scenarios: an untrusted relay attack only, an eavesdropper attack only, and both an untrusted relay and eavesdropper attack. The simulations are conducted to demonstrate that the proposed protocol can enable simultaneous private and public information exchange while resisting attacks by an undesired receiver, an untrusted relay, and external eavesdroppers.

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Section: Up-link Channelmentioning

confidence: 99%

General Secure Information Exchange Protocol for a Multiuser MIMO Relay Channel

Wang

2019

Entropy

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“…But the generalization to the multi-hop MIMO relay system is just in a similar way. For example, we can firstly regard the cascade channel from the first relay node to the T -th relay node as a whole effective channel model , which can be modeled as various tensor model according to physical circumstance, like the methodology of using nested tensor model in [22,23]. Through the proposed algorithm, To sum up, there are five channel matrices in total to be estimated in the proposed system.…”

Section: System Modelmentioning

confidence: 99%

“…Thus, in order to be fair for the comparison, we followed the setting as the references [14,15,19,21,22] selected as benchmark. In addition, in the scenario where multiple single antenna relay nodes operate in a distributed manner [23], it is reasonable to assume the relay amplification matrix G is diagonal. During the normal communication period, however, the relay amplification matrix does not need to be diagonal.…”

Section: Model Of Two-hop Linkmentioning

confidence: 99%

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Tensor-Based Channel Estimation Approach for One-Way Multi-Hop Relaying Communications

Li¹,

Mu²,

Guo³

et al. 2015

KSII TIIS

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Multi-hop relaying communications have great potentials in improving transmission performance by deploying relay nodes. The benefit is critically dependent on the accuracy of the channel state information (CSI) of all the transmitting links. However, the CSI has to be estimated. In this paper, we investigate the channel estimation problem in one-way multi-hop MIMO amplify-and-forward (AF) relay system, where both the two-hop and three-hop communication link exist. Traditional point-to-point MIMO channel estimation methods will result in error propagation in estimating relay links, and separately tackling the channel estimation issue of each link will lose the gain as part of channel matrices involved in multiple communication links. In order to exploit all the available gains, we develop a novel channel estimation model by structuring different communication links using the PARAFAC and PARATUCK2 tensor analysis. Furthermore, a two-stage fitting algorithm is derived to estimate all the channel matrices involved in the communication process. In particular, essential uniqueness is further discussed. Simulation results demonstrate the advantage and effectiveness of the proposed channel estimator. . His research interests are in the areas of wireless communications and signal processing, including channel estimation, multi-user detection, beamforming/precoding and optimization algorithms.

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“…A low complexity PARAFAC-based channel estimation scheme for non-regenerative MIMO relay systems is developed in [11]. In [12], a novel semi-blind receiver is derived using a multiple KRST coding scheme for joint symbol and channel estimation. More recently, a nested PARAFAC-based receiver for cooperative MIMO communications is proposed in [13], and three-step and double two-step alternating least squares (ALS) algorithms are proposed to fit the nested PARAFAC model for estimating system parameters.…”

Section: Introductionmentioning

confidence: 99%

A Robust Semi-Blind Receiver for Joint Symbol and Channel Parameter Estimation in Multiple-Antenna Systems

Han

Yan

et al. 2019

Electronics

Self Cite

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For multiple-antenna systems, the technologies of joint symbol and channel parameter estimation have been developed in recent works. However, existing technologies have a number of problems, such as performance degradation and the large cost of prior information. In this paper, a tensor space-time coding scheme in multiple-antenna systems was considered. This scheme allowed spreading, multiplexing, and allocating information symbols associated with multiple transmitted data streams. We showed that the received signal was formulated as a third-order tensor satisfying a Tucker-2 model, and then a robust semi-blind receiver was developed based on the optimized Levenberg–Marquardt (LM) algorithm. Under the assumption that the instantaneous channel state information (CSI) is unknown at the receiving end, the proposed semi-blind receiver jointly estimates the information symbol and channel parameters efficiently. The proposed receiver had a better estimation performance compared with existing semi-blind receivers, and still performed well when the channel became strongly correlated. Moreover, the proposed semi-blind receiver could be extended to the multi-user massive multiple-input multiple-output (MIMO) system for joint symbol and channel estimation. Computer simulation results were shown to demonstrate the effectiveness of the proposed receiver.

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Semi‐blind parallel factor based receiver for joint symbol and channel estimation in amplify‐and‐forward multiple‐input multiple‐output relay systems

Cited by 16 publications

References 30 publications

General Secure Information Exchange Protocol for a Multiuser MIMO Relay Channel

General Secure Information Exchange Protocol for a Multiuser MIMO Relay Channel

Tensor-Based Channel Estimation Approach for One-Way Multi-Hop Relaying Communications

A Robust Semi-Blind Receiver for Joint Symbol and Channel Parameter Estimation in Multiple-Antenna Systems

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