Journal ArticleDOI
The MIMO ARQ Channel: Diversity–Multiplexing–Delay Tradeoff
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It is shown that allowing for a sufficiently large retransmission delay results in an almost flat diversity-multiplexing tradeoff, and hence, renders operating at high multiplexing gain more advantageous; and MIMO ARQ channels quickly approach the ergodic limit when power control is employed.Abstract:
In this paper, the fundamental performance tradeoff of the delay-limited multiple-input multiple-output (MIMO) automatic retransmission request (ARQ) channel is explored. In particular, we extend the diversity-multiplexing tradeoff investigated by Zheng and Tse in standard delay-limited MIMO channels with coherent detection to the ARQ scenario. We establish the three-dimensional tradeoff between reliability (i.e., diversity), throughput (i.e., multiplexing gain), and delay (i.e., maximum number of retransmissions). This tradeoff quantifies the ARQ diversity gain obtained by leveraging the retransmission delay to enhance the reliability for a given multiplexing gain. Interestingly, ARQ diversity appears even in long-term static channels where all the retransmissions take place in the same channel state. Furthermore, by relaxing the input power constraint allowing variable power levels in different retransmissions, we show that power control can be used to dramatically increase the diversity advantage. Our analysis reveals some important insights on the benefits of ARQ in slow-fading MIMO channels. In particular, we show that 1) allowing for a sufficiently large retransmission delay results in an almost flat diversity-multiplexing tradeoff, and hence, renders operating at high multiplexing gain more advantageous; 2) MIMO ARQ channels quickly approach the ergodic limit when power control is employed. Finally, we complement our information-theoretic analysis with an incremental redundancy lattice space-time (IR-LAST) coding scheme which is shown, through a random coding argument, to achieve the optimal tradeoff(s). An integral component of the optimal IR-LAST coding scheme is a list decoder, based on the minimum mean-square error (MMSE) lattice decoding principle, for joint error detection and correction. Throughout the paper, our theoretical claims are validated by numerical resultsread more
Citations
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Journal ArticleDOI
On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels
TL;DR: In this paper, Zheng-Tse diversity-multiplexing tradeoff for delay-limited coherent fading channels consisting of N (half-duplex and single-antenna) partners and one cell site is investigated.
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On the Achievable Diversity-Multiplexing Tradeoffs in Half-Duplex Cooperative Channels
TL;DR: Using results one can argue that the suboptimality of previously proposed protocols stems from their use of orthogonal subspaces rather than the half-duplex constraint, allowing for a more efficient use of resources.
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MIMO Configurations for Relay Channels: Theory and Practice
Yijia Fan,John Thompson +1 more
TL;DR: This paper discusses and compares different signalling and routing methods for multiple-input multiple-output (MIMO) relay networks in terms of the network capacity, where every terminal is equipped with multiple antennas and proposes both optimal and suboptimal relay selection schemes.
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Principles Of Cognitive Radio
TL;DR: 1. The concept of cognitive radio, capacity of cognitiveRadio networks, and Propagation issues for cognitive radio: a review.
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Spectrally-efficient relay selection with limited feedback
R. Tannious,Aria Nosratinia +1 more
TL;DR: This paper devise relay selection methods to recover the multiplexing loss in decode-and-forward (DF) relay networks, while requiring very little feedback (merely bits/relay), which is a marked improvement over previous DF methods.
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Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
Lizhong Zheng,David Tse +1 more
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