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Quasi-Concavity for Gaussian Multicast Relay Channels.
Mohit Thakur1, Gerhard Kramer2
1Independent Researcher, Amalienstr. 49A, 80799 Munich, Germany.
This study analyzes relay channel capacity bounds, finding that cut-set (CS), decode-forward (DF), and quantize-forward (QF) rates are quasi-concave. Optimal relay positions are identified for DF relaying in AWGN channels.
Area of Science:
- Information Theory
- Wireless Communications
- Signal Processing
Background:
- Relay channels are crucial for extending wireless communication range.
- Standard capacity bounds include cut-set (CS), decode-forward (DF), and quantize-forward (QF) rates.
- Understanding the behavior of these bounds is essential for optimizing relay network performance.
Purpose of the Study:
- To investigate the quasi-concavity of upper and lower bounds on relay channel capacity.
- To determine the optimal relay position for decode-forward (DF) relaying.
- To extend the analysis to complex additive white Gaussian noise (AWGN) channels.
Main Methods:
- Mathematical analysis of capacity bounds for multicast relay channels.
- Investigating quasi-concavity with respect to receiver signal-to-noise ratios and source-relay correlation.
- Analyzing the impact of relay position on CS and DF rates.
Main Results:
- Upper and lower bounds (CS, DF, QF) are quasi-concave in receiver signal-to-noise ratios and source-relay correlation for real AWGN channels.
- CS and DF rates are quasi-concave in relay position.
- The quasi-concavity of DF rates characterizes the optimal relay position.
Conclusions:
- The quasi-concavity property simplifies the optimization of relay channel capacity.
- Optimal relay placement can be determined using the identified quasi-concave properties.
- The findings are applicable to both real and complex AWGN relay channels.

