Abstract
In this paper, we propose a novel low-complexity signal detection technique based on compressed sensing for a full-duplex generalized spatial modulation (FD-GSM) system, where a communication node transmits data symbols via some antennas and receives data symbols via the remaining antennas at the same time. Thus, each antenna operates as either transmitter or receiver in each symbol time, which implies FD-GSM can be implemented with half-duplex antennas. In particular, parallel orthogonal matching pursuit (POMP) algorithm is exploited as a sparse signal recovery algorithm for detecting GSM signals. The self-interference (SI) due to full-duplex operation is assumed to be completely removed by help of the recently proposed SI cancellation techniques. The proposed signal detection technique significantly outperforms the conventional OMP algorithm in terms of symbol error rate (SER). Interestingly, there exists an optimal number of active antennas for maximizing effective throughput.
Original language | English |
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Title of host publication | ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks |
Publisher | IEEE Computer Society |
Pages | 708-710 |
Number of pages | 3 |
ISBN (Electronic) | 9781509047499 |
DOIs | |
Publication status | Published - 2017 Jul 26 |
Event | 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy Duration: 2017 Jul 4 → 2017 Jul 7 |
Publication series
Name | International Conference on Ubiquitous and Future Networks, ICUFN |
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ISSN (Print) | 2165-8528 |
ISSN (Electronic) | 2165-8536 |
Other
Other | 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 |
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Country/Territory | Italy |
City | Milan |
Period | 17/7/4 → 17/7/7 |
Bibliographical note
Funding Information:This work was support by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (MSIP) (NRF-2016R1A2B4014834). This work was
Funding Information:
also supported by the Korea Science Academy of KAIST with funds from the Ministry of Science, ICT and Future Planning.
Publisher Copyright:
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture