4.7 Article

Exploiting Trust Degree for Multiple-Antenna User Cooperation

Journal

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 16, Issue 8, Pages 4908-4923

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2017.2703871

Keywords

Trust degree; cooperative transmission; beamforming; power allocation

Funding

  1. Open Foundation of Key Laboratory in Software Engineering of Yunnan Province [2017SE203]
  2. National Natural Science Foundation of China [61640306]
  3. National Research Foundation of Korea through the Korean Government (MSIP) [2017R1C1B2009280]
  4. Institute for Information and Communications Technology Promotion through the Korean Government (MSIP) [2014-000065]
  5. Resilient Cyber-Physical Systems Research
  6. Guangdong Science and Technology Plan [2016A010101009]
  7. Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2014-0-00065-003] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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For a user cooperation system with multiple antennas, we consider 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 single-input-single-output and multiple-input-single-output (MISO) cases, we provide the optimal power allocation and beamformer design that maximize the expected achievable rates while guaranteeing the QoS requirement. For a single-input-multiple-output (SIMO) case, we resort to semidefinite relaxation technique and block coordinate update method to solve the corresponding problem, and guarantee the rank-one solutions at each step. For a multiple-input-multiple-output (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 give trust degree.

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