convergence speed and better iterative performance than the traditional methods of
OMP and GP. When achieving the same iteration accuracy, our method requires much
fewer RF chains, which means that it can greatly reduce the system complexity.
5 Conclusion
In this paper, a novel beam design method for mmWave based UAV cellular networks
has been proposed. In the method, the SVD decomposition of channel and the quantization of the target area are introduced to achieve the ideal precoding vector. On this
basis, a DDL-OMP algorithm is proposed to obtain the final optimized beam. Simulation results have shown that our proposed method outperforms traditional schemes in
achieving considerable capacity with lower system complexity. Although the new
method has improved the communication quality while reducing the system overhead,
some problems such as complex inversion calculation at the iterative process of the
algorithm, need further research.
Acknowledgements. This work was supported by Aeronautical Science Foundation of China
(2017ZC52021), the Major Program of National Natural Science Foundation of China
(61827801), and the Foundation of Graduate Innovation Center in NUAA (kfjj20181503).
References
1. Xiao Z, Xia P, Xia XG (2016) Enabling UAV cellular with millimeter-wave communication:
potentials and approaches. IEEE Commun Mag 54(5):66–73
2. Zeng Y, Zhang R, Lim TJ (2016) Wireless communications with unmanned aerial vehicles:
opportunities and challenges. IEEE Commun Mag 54(5):36–42
3. Shen X (2018) Research on coverage and resource allocation of UAV mounted airborne base
station. Beijing University of Posts and Telecommunications, Beijing
Table 2. Comparison of iterative efficiency
M RF
OMP
GP
DDL-OMP
1
0.8312
0.8288
0.7296
2
0.7700
0.7093
0.3910
3
0.6619
0.6354
0.2617
4
0.5990
0.5692
0.1596
5
0.5365
0.5067
0.1119
6
0.5151
0.4633
0.0684
7
0.4969
0.4314
0.0484
8
0.4867
0.4033
0.0352
9
0.4774
0.3771
0.0265
10
0.4694
0.3566
0.0204
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