Massive MIMO for Distributed Detection With Transceiver Impairments

被引:23
作者
Ding, Guoru [1 ,2 ]
Gao, Xiqi [1 ]
Xue, Zhen [2 ]
Wu, Yongpeng [3 ]
Shi, Qingjiang [4 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
[2] PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China
[3] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
[4] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 210016, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Cognitive radio networks; distributed detection; massive MIMO; transceiver hardware impairments; wireless sensor networks; WIRELESS SENSOR NETWORKS; DECISION FUSION; SYSTEMS; CHANNEL; ANTENNAS; CAPACITY;
D O I
10.1109/TVT.2017.2747772
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates an issue of massive MIMO-based distributed detection that considers transceiver hardware impairments at both a massive-antenna fusion center (FC) and multiple single-antenna sensors. First, we derive closed-form expressions of the probability of detection and the probability of false alarm, and show that hardware impairments create finite ceilings on the achievable detection performance. Then, we formulate a constrained optimization problem as sum of linear ratios programming to maximize the detection probability. By exploiting the inherent problem structures, we further develop an algorithm based on the alternating direction method of multipliers. Extensive simulations demonstrate that the nonideal hardware has a fundamental impact on the distributed detection performance. More specifically, in the limit of an infinite number of antennas and infinite sensor reporting power budget, the effects of FC impairment and FC receiver noise vanish, while the sensor impairment dominates the achievable distributed detection performance.
引用
收藏
页码:604 / 617
页数:14
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