Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 3349-3360 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 67 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 1 2018 |
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Keywords
- Cognitive radio (CR)
- interference
- multiple-input multiple-output (MIMO)
- optimal power optimization
- spatial multiplexing
- zero-forcing (ZF) detection
ASJC Scopus subject areas
- Automotive Engineering
- Aerospace Engineering
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
Optimal Power Allocation and Active Interference Mitigation for Spatial Multiplexed MIMO Cognitive Systems. / Miridakis, Nikolaos I.; Xia, Minghua; Tsiftsis, Theodoros.
In: IEEE Transactions on Vehicular Technology, Vol. 67, No. 4, 01.04.2018, p. 3349-3360.Research output: Contribution to journal › Article
}
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
PY - 2018/4/1
Y1 - 2018/4/1
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
VL - 67
SP - 3349
EP - 3360
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 4
ER -