標題: Efficiently sphere-decodable physical layer transmission schemes for wireless storage networks
作者: Lu, Hsiao-feng (Francis)
Barreal, Amaro
Karpuk, David
Hollanti, Camilla
資訊工程學系
Department of Computer Science
關鍵字: Distributed communications;Distributed storage systems;Diversity-multiplexing gain tradeoff;MIMO;Multiple-access channel;Relay channel;Sphere decoding;Wireless networks
公開日期: 5-五月-2016
摘要: Three transmission schemes over a new type of multiple-access channel (MAC) model with inter-source communication links are proposed and investigated in this paper. This new channel model is well motivated by, e.g., wireless distributed storage networks, where communication to repair a lost node takes place from helper nodes to a repairing node over a wireless channel. Since in many wireless networks nodes can come and go in an arbitrary manner, there must be an inherent capability of inter-node communication between every pair of nodes. Assuming that communication is possible between every pair of helper nodes, the newly proposed schemes are based on various smart time-sharing and relaying strategies. In other words, certain helper nodes will be regarded as relays, thereby converting the conventional uncooperative multiple-access channel to a multiple-access relay channel (MARC). The diversity-multiplexing gain tradeoff (DMT) of the system together with efficient sphere-decodability and low structural complexity in terms of the number of antennas required at each end is used as the main design objectives. While the optimal DMT for the new channel model is fully open, it is shown that the proposed schemes outperform the DMT of the simple time-sharing protocol and, in some cases, even the optimal uncooperative MAC DMT. While using a wireless distributed storage network as a motivating example throughout the paper, the MAC transmission techniques proposed here are completely general and as such applicable to any MAC communication with inter-source communication links.
URI: http://dx.doi.org/10.1186/s13634-016-0334-2
http://hdl.handle.net/11536/133778
ISSN: 1687-6180
DOI: 10.1186/s13634-016-0334-2
期刊: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
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