Downloads provided by UsageCounts
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.
FOS: Computer and information sciences, Science, Physics, QC1-999, Computer Science - Information Theory, Information Theory (cs.IT), Q, degradedness, broadcast channel, Review, Astrophysics, broadcast, QB460-466, interference channel, multiple-access channel, channel state information
FOS: Computer and information sciences, Science, Physics, QC1-999, Computer Science - Information Theory, Information Theory (cs.IT), Q, degradedness, broadcast channel, Review, Astrophysics, broadcast, QB460-466, interference channel, multiple-access channel, channel state information
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 3 | |
| downloads | 8 |

Views provided by UsageCounts
Downloads provided by UsageCounts