Trust Degree Based Beamforming for MISO Cooperative Communication System

IEEE Trans. Wireless Commun.

et al. 2017

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For a user cooperation system with multiple antennas, we consider a trust degree based cooperation techniques to explore the influence of the trustworthiness between users on the communication systems. For the system with two communication pairs, when one communication pair achieves its quality of service (QoS) requirement, they can help the transmission of the other communication pair according to the trust degree, which quantifies the trustworthiness between users in the cooperation. For given trust degree, we investigate the user cooperation strategies, which include the power allocation and precoder design for various antenna configurations. For SISO and MISO cases, we provide the optimal power allocation and beamformer design that maximize the expected achievable rates while guaranteeing the QoS requirement. For a SIMO case, we resort to semidefinite relaxation (SDR) technique and block coordinate update (BCU) method to solve the corresponding problem, and guarantee the rank-one solutions at each step. For a MIMO case, as MIMO is the generalization of MISO and SIMO, the similarities among their problem structures inspire us to combine the methods from MISO and SIMO together to efficiently tackle MIMO case. Simulation results show that the trust degree information has a great effect on the performance of the user cooperation in terms of the expected achievable rate, and the proposed user cooperation strategies achieve high achievable rates for given trust degree.Comment: 15 pages,9 figures, to appear in IEEE Transactions on Wireless communication

Section: User Cooperation Based On Trust Degreementioning

confidence: 99%

Exploiting Trust Degree for Multiple-Antenna User Cooperation

Zhao

IEEE Trans. Wireless Commun.

et al. 2017

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“…1. In mobile social networks, the ties in social links denote the degree of the closeness of relationship between users [4], [8], [9]. In our secure communication system, the ties in trust links stand for how users can be trustworthy with each other, i.e., the degree of trust between users.…”

Section: System Modelmentioning

confidence: 99%

“…Therefore, for 0 ≤ P C < P , the optimal strategy that maximizes the expected secrecy rate becomes S dir (P * C , P T − P * C ), where P * C is given by (9). For P ≤ P C ≤ P T , since we have R e ≥ R 0 , the expected secrecy rate of S ur is represented as R se,r (P C ) =α e · min log 1+ P C g e σ 2 +(P T −P C )g e , log 1+…”

Section: (27)mentioning

confidence: 99%

See 1 more Smart Citation

Trust Degree-Based Cooperative Transmission for Communication Secrecy

2015 IEEE Global Communications Conference (GLOBECOM)

Quek

2015

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For communication secrecy, we develop the cooperative transmission strategies by taking into account the degree of trust between users as well as physical wireless channels. For a given trust degree information, we derive an optimal power allocation for confidential message and jamming signal to maximize an expected secrecy rate with respect to the trust degree information. In order to further increase the expected secrecy rate, by adopting cooperative transmission via user relaying, we derive the optimal transmission strategy and corresponding power allocation based on the trust degree information. Our analytical and numerical results show that the proposed strategies achieve substantially higher secrecy rates than that without exploiting the trust degree information of users.

“…The social relationship has been considered in the various communication systems to develop communication strategies [2][3][4][5][6][7][8][9][10][11]. In [2,3], a social group utility maximization (SGUM) game framework was proposed to proportionally maximize the utilities of socially connected users.…”

Section: Introductionmentioning

confidence: 99%

Trust Degree-Based MISO Cooperative Communications with Two Relay Nodes

Wireless Communications and Mobile Computing

2019

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In this paper, we propose transmission strategies in multiple-input-single-output (MISO) cooperative communications with two relay nodes in cases when the relay nodes have different trust degrees, where the trust degrees represent how much the relay nodes can be trusted for cooperation. For the given trust degrees and channel conditions, we first derive a relay selection strategy that maximizes the expected achievable rate. We then propose a cooperative transmission strategy of relays with an optimal cooperative beamforming vector that maximizes the expected achievable rate, which is a linear combination of weighted channel vectors. Finally, we derive the optimal transmission strategy, which is a mixed strategy between the relay selection and cooperative transmission strategies with respect to the trust degrees. Our analysis and numerical results show that the proposed transmission strategies increase the expected achievable rate by exploiting the trust degrees of the relay nodes, along with the channel conditions.