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Challenges for a data-driven society

6. ACKNOWLEDGMENT
0.2
Proposed SEEM scheme
0.18
SRM scheme This work was partially supported by the National Natu-
EEM scheme
0.16 ral Science Foundation of China (Grant Nos. 61302104,
SEE(bit/J/Hz) 0.14 ural Science Foundation of Jiangsu Province (Grant Nos.
61401223, 61522109, 61631020 and 61671253), the Nat-
0.12
BK20171446, BK 20160911, BK20140887 and BK20150040),
and the Key Project of Natural Science Research of High-
0.1
Average 0.08 er Education Institutions of Jiangsu Province (No. 15K-
JA510003)
0.06
0.04
REFERENCES
0.02
0
20 25 30 35 40 45 50 55 60 [1] Y. Zou, J. Zhu, X. Wang, and L. Hanzo, “A survey
max
P CBS (dbm) on wireless security: Technical challenges, recent ad-
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Figure 2. Average SEE versus P max of the proposed SEEM 104, no. 9, pp. 1727-1765, Sept. 2016.
CBS
and conventional SRM and EEM schemes.
[2] J. Zhu and Y. Zou, “Cognitive network cooperation for
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0.2
Optimal power allocation
0.18 [3] M. Lin, J. Ouyang, and W.-P. Zhu, “Joint beamform-
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0.16 cations underlaying cellular networks,” IEEE Journal
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0.12
0.1
Average 0.08 mission over the wiretap channel using polar codes and
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0.06
0.04 Feb. 2017.
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0
20 25 30 35 40 45 50 55 60 ing networks with a friendly jammer,” IEEE wireless
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CBS
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Figure 3. Average SEE versus P max of the proposed SEEM
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5. CONCLUSION
[7] J. Zhu, R. Schober, and V. K. Bhargava, “Linear pre-
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the physical-layer security of underlay CRNs. We first ap-
plied the ZF method to construct the downlink BF, and then [8] H. Shokri-Ghadikolaei, I. Glaropoulos, V. Fodor, C.
formulated a power allocation algorithm to maximize the se- Fischione and A. Ephremides, “Green sensing and ac-
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qual power allocation scheme. In addition, the proposed SEE Efficient resource allocation in OFDMA systems with
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