Joint preprocesser-based detector for cooperative networks with limited hardware processing capability
KAUST DepartmentCenter for Uncertainty Quantification in Computational Science and Engineering (SRI-UQ)
Communication Theory Lab
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Physical Science and Engineering (PSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/564025
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AbstractIn this letter, a joint detector for cooperative communication networks is proposed when the destination has limited hardware processing capability. The transmitter sends its symbols with the help of L relays. As the destination has limited hardware, only U out of L signals are processed and the energy of the remaining relays is lost. To solve this problem, a joint preprocessing based detector is proposed. This joint preprocessor based detector operate on the principles of minimizing the symbol error rate (SER). For a realistic assessment, pilot symbol aided channel estimation is incorporated for this proposed detector. From our simulations, it can be observed that our proposed detector achieves the same SER performance as that of the maximum likelihood (ML) detector with all participating relays. Additionally, our detector outperforms selection combining (SC), channel shortening (CS) scheme and reduced-rank techniques when using the same U. Our proposed scheme has low computational complexity.
CitationAbuzaid, A., Ahmed, Q. Z., & Alouini, M.-S. (2015). Joint Preprocesser-Based Detector for Cooperative Networks with Limited Hardware Processing Capability. IEEE Signal Processing Letters, 22(2), 216–219. doi:10.1109/lsp.2014.2349273
SponsorsThis work was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP Grant NPRP 5-250-2-087. The statements made herein are solely the responsibility of the authors. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Azadeh Vosoughi.
JournalIEEE Signal Processing Letters