conference paper · IEEE Vehicular Technology Conference · 2008
Modulation-Adaptive Cooperation Schemes for Wireless Networks
Yuanyuan Zhang, Yi Ma, Rahim Tafazolli
Cited by 29Abstract and details only
Abstract
Cooperative communications can exploit the distributed spatial diversity-gain to improve the link performance. In this paper, we investigate the application of adaptive modulation concept to the decode-and-forward (DF) based cooperative network. With the relay nodes geographically close to the destination, we assume the perfect channel feedback is available only at the relay nodes, and propose a class of novel modulation-adaptive cooperation schemes (MACSs). The proposed schemes are first investigated in the single-relay scenario, and then extended to the multi-relay scenario. Simulation results show that the proposed schemes can offer the significant throughput-improvement in comparison with conventional DF systems.
Cite this paper
Zhang, Y., Ma, Y., & Tafazolli, R. (2008). Modulation-Adaptive Cooperation Schemes for Wireless Networks. IEEE Vehicular Technology Conference, 1320–1324. https://doi.org/10.1109/vetecs.2008.278
Zhang, Yuanyuan, et al. “Modulation-Adaptive Cooperation Schemes for Wireless Networks.” IEEE Vehicular Technology Conference, 2008, pp. 1320–24, https://doi.org/10.1109/vetecs.2008.278.
Zhang, Yuanyuan, Yi Ma, and Rahim Tafazolli. 2008. “Modulation-Adaptive Cooperation Schemes for Wireless Networks.” IEEE Vehicular Technology Conference: 1320–24. https://doi.org/10.1109/vetecs.2008.278.
Zhang, Y., Ma, Y. and Tafazolli, R. (2008) ‘Modulation-Adaptive Cooperation Schemes for Wireless Networks’, IEEE Vehicular Technology Conference, pp. 1320–1324. Available at: https://doi.org/10.1109/vetecs.2008.278.
@article{zhang2008modulation,
title = {{Modulation-Adaptive Cooperation Schemes for Wireless Networks}},
author = {Zhang, Yuanyuan and Ma, Yi and Tafazolli, Rahim},
journal = {IEEE Vehicular Technology Conference},
pages = {1320--1324},
year = {2008},
doi = {10.1109/vetecs.2008.278}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.