TY - JOUR
T1 - Multiple-antenna cooperative wireless systems
T2 - A diversity-multiplexing tradeoff perspective
AU - Yuksel, Melda
AU - Erkip, Elza
N1 - Funding Information:
Manuscript received September 1, 2006; revised February 7, 2007. The material in this paper is based upon work supported in part by the National Science Foundation under Grant 0093163. The material in this paper was presented in part at the 40th Annual Conference on Information Sciences and Systems, Princeton, NJ, March 2006, the IEEE International Symposium on Information Theory, Seattle, WA, July 2006, and the IEEE International Conference on Communications, Glasgow, Scotland, June 2007.
PY - 2007/10
Y1 - 2007/10
N2 - We consider a general multiple-antenna network with multiple sources, multiple destinations, and multiple relays in terms of the diversity-multiplexing tradeoff (DMT). We examine several subcases of this most general problem taking into account the processing capability of the relays (half-duplex or full-duplex), and the network geometry (clustered or nonclustered). We first study the multiple-antenna relay channel with a full-duplex relay to understand the effect of increased degrees of freedom in the direct link. We find DMT upper bounds and investigate the achievable performance of decode-and-forward (DF), and compress-and-forward (CF) protocols. Our results suggest that while DF is DMT optimal when all terminals have one antenna each, it may not maintain its good performance when the degrees of freedom in the direct link are increased, whereas CF continues to perform optimally. We also study the multiple-antenna relay channel with a half-duplex relay. We show that the half-duplex DMT behavior can significantly be different from the full-duplex case. We find that CF is DMT optimal for half-duplex relaying as well, and is the first protocol known to achieve the half-duplex relay DMT. We next study the multiple-access relay channel (MARC) DMT. Finally, we investigate a system with a single source-destination pair and multiple relays, each node with a single antenna, and show that even under the ideal assumption of full-duplex relays and a clustered network, this virtual multiple-input multiple-output (MIMO) system can never fully mimic a real MIMO DMT. For cooperative systems with multiple sources and multiple destinations the same limitation remains in effect.
AB - We consider a general multiple-antenna network with multiple sources, multiple destinations, and multiple relays in terms of the diversity-multiplexing tradeoff (DMT). We examine several subcases of this most general problem taking into account the processing capability of the relays (half-duplex or full-duplex), and the network geometry (clustered or nonclustered). We first study the multiple-antenna relay channel with a full-duplex relay to understand the effect of increased degrees of freedom in the direct link. We find DMT upper bounds and investigate the achievable performance of decode-and-forward (DF), and compress-and-forward (CF) protocols. Our results suggest that while DF is DMT optimal when all terminals have one antenna each, it may not maintain its good performance when the degrees of freedom in the direct link are increased, whereas CF continues to perform optimally. We also study the multiple-antenna relay channel with a half-duplex relay. We show that the half-duplex DMT behavior can significantly be different from the full-duplex case. We find that CF is DMT optimal for half-duplex relaying as well, and is the first protocol known to achieve the half-duplex relay DMT. We next study the multiple-access relay channel (MARC) DMT. Finally, we investigate a system with a single source-destination pair and multiple relays, each node with a single antenna, and show that even under the ideal assumption of full-duplex relays and a clustered network, this virtual multiple-input multiple-output (MIMO) system can never fully mimic a real MIMO DMT. For cooperative systems with multiple sources and multiple destinations the same limitation remains in effect.
KW - Cooperation
KW - Diversity-multiplexing tradeoff (DMT)
KW - Fading channels
KW - Multiple-input multiple-output (MIMO)
KW - Relay channel
KW - Wireless networks
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U2 - 10.1109/TIT.2007.904972
DO - 10.1109/TIT.2007.904972
M3 - Article
AN - SCOPUS:35148868567
SN - 0018-9448
VL - 53
SP - 3371
EP - 3393
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 10
ER -