TY - JOUR
T1 - Power Allocation for Massive MIMO Cognitive Radio Networks with Pilot Sharing under SINR Requirements of Primary Users
AU - Hao, Wanming
AU - Muta, Osamu
AU - Gacanin, Haris
AU - Furukawa, Hiroshi
N1 - Funding Information:
Manuscript received June 4, 2017; revised August 21, 2017; accepted August 22, 2017. Date of publication September 7, 2017; date of current version February 12, 2018. This work was supported in part by the JSPS KAKENHI 17K06427 and in part by the Telecommunications Advancement Foundation. The review of this paper was coordinated by Prof. R. Dinis. (Corresponding author: Wanming Hao.) W. Hao, O. Muta, and H. Furukawa are with Kyushu University, Fukuoka 819-0395, Japan (e-mail: hao@mobcom.ait.kyushu-u.ac.jp; muta@ait.kyushu-u.ac.jp; furuhiro@ait.kyushu-u.ac.jp).
PY - 2018/2
Y1 - 2018/2
N2 - In this paper, we investigate the power allocation problem in massive multiple-input-multiple-output cognitive radio networks. We propose an orthogonal pilot sharing scheme at pilot transmission phase, where secondary users are allowed to use pilots for channel estimation only when there are temporarily unused orthogonal pilots. Following this, we formulate the power allocation optimization problem of the secondary network (SN) to maximize the downlink sum rate of the SN subject to the total transmit power and primary users' signal-interference-plus-noise-ratio constraints. Next, we transform the original (nonconvex) problem into a convex one by using convex approximation techniques and propose an iterative algorithm to obtain the solution. Furthermore, we prove that the proposed algorithm converges to Karush-Kuhn-Tucker points of the original problem. Meanwhile, the impact of the number of the secondary base station (SBS) antennas or the primary BS (PBS) antennas on the downlink rate of the SN and primary network is theoretically studied. Finally, the numerical results present the downlink sum rate of the SN under different parameters through our proposed algorithm.
AB - In this paper, we investigate the power allocation problem in massive multiple-input-multiple-output cognitive radio networks. We propose an orthogonal pilot sharing scheme at pilot transmission phase, where secondary users are allowed to use pilots for channel estimation only when there are temporarily unused orthogonal pilots. Following this, we formulate the power allocation optimization problem of the secondary network (SN) to maximize the downlink sum rate of the SN subject to the total transmit power and primary users' signal-interference-plus-noise-ratio constraints. Next, we transform the original (nonconvex) problem into a convex one by using convex approximation techniques and propose an iterative algorithm to obtain the solution. Furthermore, we prove that the proposed algorithm converges to Karush-Kuhn-Tucker points of the original problem. Meanwhile, the impact of the number of the secondary base station (SBS) antennas or the primary BS (PBS) antennas on the downlink rate of the SN and primary network is theoretically studied. Finally, the numerical results present the downlink sum rate of the SN under different parameters through our proposed algorithm.
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U2 - 10.1109/TVT.2017.2749599
DO - 10.1109/TVT.2017.2749599
M3 - Article
AN - SCOPUS:85029167449
VL - 67
SP - 1174
EP - 1186
JO - IEEE Transactions on Vehicular Communications
JF - IEEE Transactions on Vehicular Communications
SN - 0018-9545
IS - 2
ER -