When does spatial correlation add value to delayed channel state information?

Vahid, Alireza; Calderbank, Robert

doi:10.1109/isit.2016.7541774

Cited by 12 publications

(8 citation statements)

References 13 publications

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“…Another direction, would be to extend the current results to two-user Rayleigh fading interference channels (as opposed to the binary fading model). Recently, a new direction was introduced in [24] where spatial correlation between channels were considered. Implications of local delayed CSIT in that setting has great practical importance.…”

Section: Discussionmentioning

confidence: 99%

Two-User Erasure Interference Channels With Local Delayed CSIT

Vahid

Calderbank

2016

IEEE Trans. Inform. Theory

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Abstract-We study the capacity region of two-user erasure interference channels with local delayed channel state information at the transmitters. In our model, transmitters have local mismatched outdated knowledge of the channel gains. We propose a transmission strategy that only relies on the delayed knowledge of the outgoing links at each transmitter and achieves the outer-bound for the scenario in which transmitters learn the entire channel state with delay. Our result reveals the subset of the channel state information that affects the capacity region the most.We also identify cases in which local delayed knowledge of the channel state does not provide any gain over the zero knowledge assumption. To do so, we revisit a long-known intuition about interference channels that as long as the marginal distributions at the receivers are conserved, the capacity remains the same. We take this intuition and impose a certain spatial correlation among channel gains such that the marginal distributions remain unchanged. Then we provide an outer-bound on the capacity region of the channel with correlation that matches the capacity region when transmitters do not have access to channel state information.

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Section: Discussionmentioning

confidence: 99%

Two-User Erasure Interference Channels With Local Delayed CSIT

Vahid

Calderbank

2016

IEEE Trans. Inform. Theory

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“…Preliminary results of this work were presented at the 2016 IEEE International Symposium on Information Theory (ISIT) [1]. A shortened version of this paper will appear in ISIT 2018 [2].…”

Section: Introductionmentioning

confidence: 99%

Throughput Region of Spatially Correlated Interference Packet Networks

Vahid

Calderbank

2019

IEEE Trans. Inform. Theory

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In multi-user wireless packet networks interference, typically modeled as packet collision, is the throughput bottleneck. Users become aware of the interference pattern via feedback and use this information for contention resolution and for packet retransmission. Conventional random access protocols interrupt communication to resolve contention which reduces network throughput and increases latency and power consumption. In this work we take a different approach and we develop opportunistic random access protocols rather than pursuing conventional methods. We allow wireless nodes to communicate without interruption and to observe the interference pattern. We then use this interference pattern knowledge and channel statistics to counter the negative impact of interference. We prove the optimality of our protocols using an extremal rankratio inequality. An important part of our contributions is the integration of spatial correlation in our assumptions and results. We identify spatial correlation regimes in which inherently outdated feedback becomes as good as idealized instantaneous feedback, and correlation regimes in which feedback does not provide any throughput gain. To better illustrate the results, and as an intermediate step, we characterize the capacity region of finite-field spatially correlated interference channels with delayed channel state information at the transmitters.

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“…Conversely, in contrast to the binary fading IC, the direct links in the bursty IC cannot be zero, since only the interference can be intermittent. Vahid et al [ 10 , 11 , 12 , 13 , 14 ] studied the capacity region of the binary fading IC. Specifically, [ 11 , 14 ] study the capacity region of the binary fading IC when the transmitters do not have access to the channel coefficients, and [ 12 ] study the capacity region when the transmitters have access to the past channel coefficients.…”

Section: Introductionmentioning

confidence: 99%

Robust Signaling for Bursty Interference

Villacrés

Koch

Sezgin

et al. 2018

Entropy

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This paper studies a bursty interference channel, where the presence/absence of interference is modeled by a blocki.i.d. Bernoulli process that stays constant for a duration of T symbols (referred to as coherence block) and then changes independently to a new state. We consider both a quasi-static setup, where the interference state remains constant during the whole transmission of the codeword, and an ergodic setup, where a codeword spans several coherence blocks. For the quasi-static setup, we study the largest rate of a coding strategy that provides reliable communication at a basic rate and allows an increased (opportunistic) rate when there is no interference. For the ergodic setup, we study the largest achievable rate. We study how non-causal knowledge of the interference state, referred to as channel-state information (CSI), affects the achievable rates. We derive converse and achievability bounds for (i) local CSI at the receiver-side only; (ii) local CSI at the transmitter-and receiver-side, and (iii) global CSI at all nodes. Our bounds allow us to identify when interference burstiness is beneficial and in which scenarios global CSI outperforms local CSI. The joint treatment of the quasi-static and ergodic setup further allows for a thorough comparison of these two setups.

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When does spatial correlation add value to delayed channel state information?

Cited by 12 publications

References 13 publications

Two-User Erasure Interference Channels With Local Delayed CSIT

Two-User Erasure Interference Channels With Local Delayed CSIT

Throughput Region of Spatially Correlated Interference Packet Networks

Robust Signaling for Bursty Interference

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