Joint Source-Relay Optimization for Fixed Receivers in Multi-Antenna Multi-Relay Networks

@article{Ikhlef2014JointSO,
  title={Joint Source-Relay Optimization for Fixed Receivers in Multi-Antenna Multi-Relay Networks},
  author={A{\"i}ssa Ikhlef and Robert Schober},
  journal={IEEE Transactions on Wireless Communications},
  year={2014},
  volume={13},
  pages={62-74}
}
We jointly optimize the source and relay precoders for multi-antenna multi-relay networks employing a prefixed receiver. Prefixed receivers are of practical interest since they enable low complexity at the end-user's receiver as well as backward compatibility. To compute the source and relay precoders, we consider two different criteria. The objective of the first criterion is to maximize the worst stream signal-to-interference-plus-noise ratio (SINR) at the output of the receiver subject to… CONTINUE READING
3 Citations
29 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-3 of 3 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 29 references

Linear precoding via conic programming for fixed MIMO receivers

  • A. Wiesel, Y. C. Eldar, S. S. Shitz
  • IEEE Trans. Signal Process., vol. 54, no. 1, pp…
  • 2006
Highly Influential
10 Excerpts

CVX: Matlab software for disciplined convex programming

  • M. Grant, S. Boyd
  • Available: http://cvxr.com/cvx, Apr. 2011.
  • 2011
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…