Hierarchical coding for a MIMO channel

Steiner, Avi; Shamai, Shlomo

doi:10.1109/eeei.2004.1361091

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…However, a complete characterization of the broadcast approach requires the full solution of the most general MIMO broadcast channel with a degraded message set [21], which is not yet available (infinite number of realizations, for H with Gaussian components), and hence suboptimal ranking procedures were considered. Various degraded message sets and transmission schemes with sub-optimal ranking at the receiver are studied in [23,70,71]. Formulation of the general MIMO broadcasting with degraded message sets and the optimization of the layering power distribution, which maximizes the expected rate, is stated in ( 71) and ( 73).…”

Section: Discussionmentioning

confidence: 99%

“…Broadcasting with degraded message sets is not only unknown in general channels, but also, it is unknown for MIMO channels [ 68 , 69 ]. Various approaches to transmitting degraded message set with sub-optimal ranking at the receiver are studied in [ 23 , 70 , 71 ]. The ranking of channel matrices (as opposed to a vector in a SIMO case) can be achieved via supermajorization ranking of the singular values of

.…”

Section: Variable-to-fixed Channel Codingmentioning

confidence: 99%

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The Broadcast Approach in Communication Networks

Tajer

Steiner

Shamai

2021

Entropy

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In this paper we review the theoretical and practical principles of the broadcast approach to communication over state-dependent channels and networks in which the transmitters have access to only the probabilistic description of the time-varying states while remaining oblivious to their instantaneous realizations. When the temporal variations are frequent enough, an effective long-term strategy is adapting the transmission strategies to the system’s ergodic behavior. However, when the variations are infrequent, their temporal average can deviate significantly from the channel’s ergodic mode, rendering a lack of instantaneous performance guarantees. To circumvent a lack of short-term guarantees, the broadcast approach provides principles for designing transmission schemes that benefit from both short- and long-term performance guarantees. This paper provides an overview of how to apply the broadcast approach to various channels and network models under various operational constraints.

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Section: Discussionmentioning

confidence: 99%

.…”

Section: Variable-to-fixed Channel Codingmentioning

confidence: 99%

The Broadcast Approach in Communication Networks

Tajer

Steiner

Shamai

2021

Entropy

View full text Add to dashboard Cite

show abstract

“…Broadcasting with degraded message sets is not only unknown in general channels, but also, it is unknown for MIMO channels [68,69]. Various approaches to transmitting degraded message set with sub-optimal ranking at the receiver are studied in [23,70,71]. The ranking of channel matrices (as opposed to a vector in a SIMO case) can be achieved via supermajorization ranking of the singular values of HH H .…”

Section: The Mimo Broadcast Approachmentioning

confidence: 99%

“…number of realizations, for H with Gaussian components), and hence suboptimal ranking procedures were considered. Various degraded message sets and transmission schemes with sub-optimal ranking at the receiver are studied in [23,70,71]. Formulation of the general MIMO broadcasting with degraded message sets and the optimization of the layering power distribution, which maximizes the expected rate, is stated in ( 71)- (73).…”

Section: Successive Decoding: Two-state Channelmentioning

confidence: 99%

The Broadcast Approach in Communication Networks

Tajer,

Steiner,

Shamai

2021

Preprint

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This paper reviews the theoretical and practical principles of the broadcast approach to communication over state-dependent channels and networks in which the transmitters have access to only the probabilistic description of the time-varying states while remaining oblivious to their instantaneous realizations. When the temporal variations are frequent enough, an effective long-term strategy is adapting the transmission strategies to the system's ergodic behavior. However, when the variations are infrequent, their temporal average can deviate significantly from the channel's ergodic mode, rendering a lack of instantaneous performance guarantees. To circumvent a lack of short-term guarantees, the broadcast approach provides principles for designing transmission schemes that benefit from both shortand long-term performance guarantees. This paper provides an overview of how to apply the broadcast approach to various channels and network models under various operational constraints.

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A Resource Allocation Scheme for MBMS with QoS Guarantees

Wang

et al. 2013

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing

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Hierarchical coding for a MIMO channel

Cited by 3 publications

References 5 publications

The Broadcast Approach in Communication Networks

The Broadcast Approach in Communication Networks

The Broadcast Approach in Communication Networks

A Resource Allocation Scheme for MBMS with QoS Guarantees

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