Adaptive Modulation over Nakagami Fading Channels
Wireless Personal Communications: An International Journal
End-to-end performance of transmission systems with relays over Rayleigh-fading channels
IEEE Transactions on Wireless Communications
Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links
IEEE Transactions on Wireless Communications
Performance of cellular networks with relays and centralized scheduling
IEEE Transactions on Wireless Communications
On the performance of amplify-and-forward cooperative systems with fixed gain relays
IEEE Transactions on Wireless Communications - Part 2
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IEEE Transactions on Information Theory
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IEEE Communications Magazine
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IEEE Communications Magazine
Cooperative communication in wireless networks
IEEE Communications Magazine
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IEEE Communications Magazine
Wireless relays for broadband access [radio communications series]
IEEE Communications Magazine
Adaptive multidimensional coded modulation over flat fading channels
IEEE Journal on Selected Areas in Communications
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We propose and analyze two different approaches for performing adaptive modulation and coding (AMC) in dual-hop transmission systems, where a source node S communicates with a certain destination node D via an intermediate decode-and-forwarding relay station R. In this regard, we consider the most general case, where the AMC on the S-R and R-D links might be performed independently of each other, thus requiring a potential buffering of data packets at the relay station before they can be forwarded to the destination D. With our first approach, AMC is performed solely based on the instantaneous channel realizations, without considering the current buffer level at the relay station, what consequently might result in packet losses due to potential buffer overflows. Our second approach eliminates this problem by taking the current buffer level into account in the AMC transmission over the first hop and reducing the transmission rate accordingly if the buffer would overflow otherwise. Both schemes are analyzed analytically based on a finite-state Markov chain model of our system. Building upon this model, we derive analytical closed-form expressions for a variety of different key performance indicators, which are illustrated for various practical cases by means of selected numerical results.