TY - JOUR
T1 - Joint User Pairing and Power Allocation in Virtual MIMO Systems
AU - Jia, Boqi
AU - Hu, Honglin
AU - Zeng, Yu
AU - Xu, Tianheng
AU - Chen, Hsiao Hwa
N1 - Funding Information:
Manuscript received February 27, 2017; revised July 25, 2017, November 14, 2017, and January 26, 2018; accepted February 24, 2018. Date of publication March 15, 2018; date of current version June 8, 2018. This work was supported in part by the National Natural Science Foundation of China under Grant 61671437, Grant 61631013, Grant 61671186, and Grant 61471143, and in part by the Taiwan Ministry of Science and Technology under Grant 106-2221-E-006-028-MY3 and Grant 106-2221-E-006-021-MY3. This paper was presented at the IEEE Global Communications Conference, Washington, DC, USA, December 2016 [26]. The associate editor coordinating the review of this paper and approving it for publication was M. Elkashlan. (Corresponding author: Hsiao-Hwa Chen.) B. Jia and Y. Zeng are with the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China, and also with the University of Chinese Academy of Sciences, Beijing 100049, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/6
Y1 - 2018/6
N2 - Virtual multiple-input multiple-output (V-MIMO) is an effective way to achieve a diversity gain in uplink channels. A well-designed user pairing scheme in V-MIMO systems can exploit multiuser diversity to yield a significant performance gain. This paper investigates joint user pairing and power allocation problems in V-MIMO systems to maximize energy efficiency (EE) while guaranteeing spectrum efficiency (SE) under a total power consumption constraint. We formulate such a joint problem as a complex nonlinear optimization problem, which can be solved in two steps in × K V-MIMO systems, i.e., power allocation with known user group and joint user pairing and power allocation. A multi-level water-filling method is used, and an iterative algorithm based on the outputs from the first step is employed in the second step. Finally, we propose a joint user pairing and power allocation scheme to find a user group that can achieve the maximum EE with power allocation. Simulation results and performance comparisons illustrate improved performance of the proposed scheme. Compared to the existing user pairing approaches, the proposed scheme achieves a significantly high EE gain while guaranteeing SE of a V-MIMO system.
AB - Virtual multiple-input multiple-output (V-MIMO) is an effective way to achieve a diversity gain in uplink channels. A well-designed user pairing scheme in V-MIMO systems can exploit multiuser diversity to yield a significant performance gain. This paper investigates joint user pairing and power allocation problems in V-MIMO systems to maximize energy efficiency (EE) while guaranteeing spectrum efficiency (SE) under a total power consumption constraint. We formulate such a joint problem as a complex nonlinear optimization problem, which can be solved in two steps in × K V-MIMO systems, i.e., power allocation with known user group and joint user pairing and power allocation. A multi-level water-filling method is used, and an iterative algorithm based on the outputs from the first step is employed in the second step. Finally, we propose a joint user pairing and power allocation scheme to find a user group that can achieve the maximum EE with power allocation. Simulation results and performance comparisons illustrate improved performance of the proposed scheme. Compared to the existing user pairing approaches, the proposed scheme achieves a significantly high EE gain while guaranteeing SE of a V-MIMO system.
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U2 - 10.1109/TWC.2018.2814048
DO - 10.1109/TWC.2018.2814048
M3 - Article
AN - SCOPUS:85043765185
SN - 1536-1276
VL - 17
SP - 3697
EP - 3708
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 6
ER -