On the Performance of Selection Cooperation with Outdated CSI and Channel Estimation Errors
Mehdi Seyfi, Sami Muhaidat, Jie Liang

TL;DR
This paper analyzes how selection cooperation performs under imperfect channel estimation and outdated CSI, deriving bounds and expressions for key metrics in relay networks with practical estimation errors.
Contribution
It provides analytical bounds and closed-form expressions for performance metrics considering channel estimation errors and outdated CSI in relay selection schemes.
Findings
Selection cooperation performance degrades with outdated CSI and estimation errors.
Derived bounds and closed-form expressions match simulation results.
Performance metrics like ASER and outage probability are quantified under realistic conditions.
Abstract
In this paper, we investigate the performance of selection cooperation in the presence of imperfect channel estimation. In particular, we consider a cooperative scenario with multiple relays and amplify-and-forward protocol over frequency flat fading channels. In the selection scheme, only the "best" relay which maximizes the effective signal-to-noise ratio (SNR) at the receiver end is selected. We present lower and upper bounds on the effective SNR and derive closed-form expressions for the average symbol error rate (ASER), outage probability and average capacity per bandwidth of the received signal in the presence of channel estimation errors. A simulation study is presented to corroborate the analytical results and to demonstrate the performance of relay selection with imperfect channel estimation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCooperative Communication and Network Coding · Wireless Communication Security Techniques · Advanced Wireless Communication Technologies
