TY - JOUR
T1 - Exploiting Trust Degree for Multiple-Antenna User Cooperation
AU - Zhao, Mingxiong
AU - Ryu, Jong Yeol
AU - Lee, Jemin
AU - Quek, Tony Q.S.
AU - Feng, Suili
N1 - Funding Information:
Manuscript received September 11, 2016; revised March 8, 2017; accepted April 26, 2017. Date of publication May 16, 2017; date of current version August 10, 2017. This work was supported in part by the Open Foundation of Key Laboratory in Software Engineering of Yunnan Province under Grant 2017SE203, in part by the National Natural Science Foundation of China under Grant 61640306, in part by the National Research Foundation of Korea through the Korean Government (MSIP) under Grant 2017R1C1B2009280, in part by the Institute for Information and Communications Technology Promotion through the Korean Government (MSIP) under Grant 2014-0-00065, the Resilient Cyber-Physical Systems Research, and in part the Guangdong Science and Technology Plan under Grant 2016A010101009. The associate editor coordinating the review of this paper and approving it for publication was C. Zhong. (Corresponding author: Jong Yeol Ryu.) M. Zhao is with the School of Software, Yunnan University, Kunming 650091, China, and also with the Key Laboratory in Software Engineering of Yunnan Province, Kunming 650091, China (e-mail: jimmyzmx@gmail.com; mx_zhao@ynu.edu.cn).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2017/8
Y1 - 2017/8
N2 - 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.
AB - 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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U2 - 10.1109/TWC.2017.2703871
DO - 10.1109/TWC.2017.2703871
M3 - Article
AN - SCOPUS:85029578034
VL - 16
SP - 4908
EP - 4923
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 8
M1 - 7929297
ER -