Abstract
Recent advances in interference exploitation showed that exploiting knowledge of interference constructively can improve the receive signal-to-interference and noise ratio (SINR) at the destination. This paper exploits this concept to design artificial noise (AN) beamformers constructive to the intended receiver (IR) yet keeping AN disruptive to possible eavesdroppers (Eves). A multiple-input single-output (MISO) wiretap channel with multiple eavesdroppers scenario has been investigated taking both perfect and imperfect channel information into consideration. The main objective is to improve the receive SINR at the IR through exploitation of AN power in an attempt to minimize the total transmit power, while confusing the Eves.
Original language | English |
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Title of host publication | 2017 IEEE International Symposium on Information Theory (ISIT) |
Publisher | IEEE |
Pages | 2875-2879 |
Number of pages | 5 |
ISBN (Electronic) | 9781509040964 |
DOIs | |
Publication status | Published - 15 Aug 2017 |
Event | 2017 IEEE International Symposium on Information Theory - Aachen, Germany Duration: 25 Jun 2017 → 30 Jun 2017 |
Conference
Conference | 2017 IEEE International Symposium on Information Theory |
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Abbreviated title | ISIT 2017 |
Country/Territory | Germany |
City | Aachen |
Period | 25/06/17 → 30/06/17 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Information Systems
- Modelling and Simulation
- Applied Mathematics