TY - JOUR
T1 - Optimal Power Allocation and Active Interference Mitigation for Spatial Multiplexed MIMO Cognitive Systems
AU - Miridakis, Nikolaos I.
AU - Xia, Minghua
AU - Tsiftsis, Theodoros A.
N1 - Funding Information:
Manuscript received January 13, 2017; revised June 9, 2017 and September 18, 2017; accepted December 3, 2017. Date of publication December 8, 2017; date of current version April 16, 2018. This work was supported by the Fundamental Research Funds for the Central Universities of China under Grant 161gzd03. The review of this paper was coordinated by Prof. W. A. Hamouda. (Corresponding author: Nikolaos I. Miridakis.) N. I. Miridakis is with the Department of Computer Systems Engineering, Piraeus University of Applied Sciences, Aegaleo 12244, Greece (e-mail: nikozm@unipi.gr).
PY - 2018/4
Y1 - 2018/4
N2 - In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the secondary transmitter operates in a spatial multiplexing transmission mode, while a zero-forcing detector is employed at the secondary receiver. Additionally, the secondary system is interfered by multiple randomly distributed single-antenna primary users (PUs). To enhance the performance of secondary transmission, optimal power allocation is performed at the secondary transmitter with a constraint on the interference temperature (IT) specified by the PUs. The outage probability of the secondary receiver is explicitly derived in an exact closed-form expression. Also, some special cases of practical interest, including colocated PUs and massive MIMO, are discussed. Further, to mitigate instantaneous excessive interference onto PUs caused by the time-average IT, an iterative antenna reduction algorithm is developed for the secondary transmitter and, accordingly, the average number of transmit antennas is analytically computed. Extensive numerical and simulation results corroborate the effectiveness of our analysis.
AB - In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the secondary transmitter operates in a spatial multiplexing transmission mode, while a zero-forcing detector is employed at the secondary receiver. Additionally, the secondary system is interfered by multiple randomly distributed single-antenna primary users (PUs). To enhance the performance of secondary transmission, optimal power allocation is performed at the secondary transmitter with a constraint on the interference temperature (IT) specified by the PUs. The outage probability of the secondary receiver is explicitly derived in an exact closed-form expression. Also, some special cases of practical interest, including colocated PUs and massive MIMO, are discussed. Further, to mitigate instantaneous excessive interference onto PUs caused by the time-average IT, an iterative antenna reduction algorithm is developed for the secondary transmitter and, accordingly, the average number of transmit antennas is analytically computed. Extensive numerical and simulation results corroborate the effectiveness of our analysis.
KW - Cognitive radio (CR)
KW - interference
KW - multiple-input multiple-output (MIMO)
KW - optimal power optimization
KW - spatial multiplexing
KW - zero-forcing (ZF) detection
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U2 - 10.1109/TVT.2017.2781466
DO - 10.1109/TVT.2017.2781466
M3 - Article
AN - SCOPUS:85038868547
VL - 67
SP - 3349
EP - 3360
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 4
ER -