Interference Networks With Random User Activity and Heterogeneous Delay Constraints

This paper proposes coding schemes and information-theoretic converse results for the transmission of heterogeneous delay-constrained traffic over interference networks with random user activity and random data arrivals. The heterogeneous delay-constrained traffic is composed of delay-tolerant traffic and delay-sensitive traffic where only the former can benefit from transmitter and receiver cooperation since the latter is subject to stringent delay constraints. Even for the delay-tolerant traffic, the total number of cooperation rounds at transmitter and receiver sides is limited to D rounds. Each transmitter is assumed to be active with probability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rho \in [{0,1}]$ </tex-math></inline-formula>, and we study two different models for traffic arrival, each model reflecting a different application type. In Model 1, each active transmitter sends a delay-tolerant message, and with probability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rho _{f} \in [{0,1}]$ </tex-math></inline-formula> also transmits an additional delay-sensitive message; in Model 2, each active transmitter sends either a delay-sensitive message with probability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rho _{f}$ </tex-math></inline-formula> or a delay-tolerant message with probability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1- \rho _{f}$ </tex-math></inline-formula>. For both models, we derive inner and outer bounds on the fundamental per-user multiplexing gain (MG) region of the symmetric Wyner network as well as inner bounds on the fundamental MG region of the hexagonal model. The per-user MG of an interference network describes the logarithmic growth of the largest average per-user rate that can be achieved over the network at high signal-to-noise ratios (SNR). Our inner and outer bounds on the per-user MG are generally close and coincide in special cases. They also show that when both transmitters and receivers can cooperate, then under Model 1, transmitting delay-sensitive messages hardly causes any penalty on the sum per-user MG, and under Model 2, operating at large delay-sensitive per-user MGs incurs no penalty on the delay-tolerant per-user MG and thus even increases the sum per-user MG. However, when only receivers can cooperate, the maximum delay-tolerant per-user MG that our bounds achieve at maximum delay-sensitive per-user MG is significantly decreased.

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Publication Details

Journal
IEEE Transactions on Information Theory
Published
2024-12-27
DOI
https://doi.org/10.1109/tit.2024.3523775
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.21

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article

Interference Networks With Random User Activity and Heterogeneous Delay Constraints

Shlomo Shamai, H. Vincent Poor, Jean-Marie Gorce, Michèle Wigger et al.
1 citations
IEEE Transactions on Information Theory
Advanced MIMO Systems Optimization
0.21
article

Interference Networks With Random User Activity and Heterogeneous Delay Constraints

Shlomo Shamai, H. Vincent Poor, Jean-Marie Gorce, Michèle Wigger, Homa Nikbakht
article en
1 citations

Abstract

This paper proposes coding schemes and information-theoretic converse results for the transmission of heterogeneous delay-constrained traffic over interference networks with random user activity and random data arrivals. The heterogeneous delay-constrained traffic is composed of delay-tolerant traffic and delay-sensitive traffic where only the former can benefit from transmitter and receiver cooperation since the latter is subject to stringent delay constraints. Even for the delay-tolerant traffic, the total number of cooperation rounds at transmitter and receiver sides is limited to D rounds. Each transmitter is assumed to be active with probability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rho \in [{0,1}]$ </tex-math></inline-formula>, and we study two different models for traffic arrival, each model reflecting a different application type. In Model 1, each active transmitter sends a delay-tolerant message, and with probability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rho _{f} \in [{0,1}]$ </tex-math></inline-formula> also transmits an additional delay-sensitive message; in Model 2, each active transmitter sends either a delay-sensitive message with probability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rho _{f}$ </tex-math></inline-formula> or a delay-tolerant message with probability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1- \rho _{f}$ </tex-math></inline-formula>. For both models, we derive inner and outer bounds on the fundamental per-user multiplexing gain (MG) region of the symmetric Wyner network as well as inner bounds on the fundamental MG region of the hexagonal model. The per-user MG of an interference network describes the logarithmic growth of the largest average per-user rate that can be achieved over the network at high signal-to-noise ratios (SNR). Our inner and outer bounds on the per-user MG are generally close and coincide in special cases. They also show that when both transmitters and receivers can cooperate, then under Model 1, transmitting delay-sensitive messages hardly causes any penalty on the sum per-user MG, and under Model 2, operating at large delay-sensitive per-user MGs incurs no penalty on the delay-tolerant per-user MG and thus even increases the sum per-user MG. However, when only receivers can cooperate, the maximum delay-tolerant per-user MG that our bounds achieve at maximum delay-sensitive per-user MG is significantly decreased.

IEEE Transactions on Information TheoryVol. 71(2)
Université Claude Bernard Lyon 1 (FR), Télécom Paris (FR), Institut national de recherche en sciences et technologies du numérique (FR), Technion – Israel Institute of Technology (IL), Princeton University (US), Laboratoire Traitement et Communication de l’Information (FR), Institut National des Sciences Appliquées de Lyon (FR)
National Science Foundation, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Division of Electrical, Communications and Cyber Systems, CHIST-ERA
Openalex Percentile: Top 44%
Advanced MIMO Systems Optimization
0.21
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