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The Interference Channel with Entangled Transmitters

Jonas Hawellek, Athin Mohan, Hadi Aghaee, Christian Deppe

TL;DR

This work studies a classical interference channel with two transmitters and two receivers that share entanglement, formulating an entanglement-assisted capacity region $\mathcal{C}_{ET}$. It extends the Han-Kobayashi framework to the entangled setting, deriving an inner bound $\mathcal{R}_{\text{ET-HK}}$ via rate-splitting, superposition coding, and entanglement-assisted encoding POVMs, and an outer bound $\mathcal{R}_{\text{ET-o}}$ that constrains the region under shared entanglement. A key result is that the union over pure states suffices for the achievable region, with a finite-time-sharing bound $|\mathcal{V}_0|\le 7$; the framework is illustrated by a magic-square-game-based channel showing a quantum advantage: the classical sum-rate bound is $R_1+R_2\le 3.02$, while entanglement enables $R_1+R_2=2\log_2 3\approx3.17$. The findings indicate that quantum resources can strictly enlarge capacity regions in networked communication and motivate further exploration of finite-alphabet bounds and robustness to entanglement noise in realistic systems.

Abstract

This paper explores communication over a two-sender, two-receiver classical interference channel, enhanced by the availability of entanglement resources between transmitters. The central contributions are an inner and outer bound on the capacity region for a general interference channel with entangled transmitters. It addresses the persistent challenge of the lack of a general capacity formula, even in the purely classical case, and highlights the striking similarities in achievable rate expressions when assessing quantum advantages. Through a concrete example, it is shown that entanglement can significantly boost performance in certain types of channels.

The Interference Channel with Entangled Transmitters

TL;DR

This work studies a classical interference channel with two transmitters and two receivers that share entanglement, formulating an entanglement-assisted capacity region . It extends the Han-Kobayashi framework to the entangled setting, deriving an inner bound via rate-splitting, superposition coding, and entanglement-assisted encoding POVMs, and an outer bound that constrains the region under shared entanglement. A key result is that the union over pure states suffices for the achievable region, with a finite-time-sharing bound ; the framework is illustrated by a magic-square-game-based channel showing a quantum advantage: the classical sum-rate bound is , while entanglement enables . The findings indicate that quantum resources can strictly enlarge capacity regions in networked communication and motivate further exploration of finite-alphabet bounds and robustness to entanglement noise in realistic systems.

Abstract

This paper explores communication over a two-sender, two-receiver classical interference channel, enhanced by the availability of entanglement resources between transmitters. The central contributions are an inner and outer bound on the capacity region for a general interference channel with entangled transmitters. It addresses the persistent challenge of the lack of a general capacity formula, even in the purely classical case, and highlights the striking similarities in achievable rate expressions when assessing quantum advantages. Through a concrete example, it is shown that entanglement can significantly boost performance in certain types of channels.

Paper Structure

This paper contains 21 sections, 8 theorems, 46 equations, 2 figures, 2 tables.

Key Result

Lemma 1

Any rate pair $(R_1,R_2) \in \mathcal{R}_{\text{HK}}$ is achievable for the discrete memoryless IC $P_{Y_1,Y_2|X_1,X_2}$ElGamal_Kim_2011. Hence, the capacity region $\mathcal{C}$ of the general discrete memoryless IC satisfies

Figures (2)

  • Figure 1: The classical interference channel $P_{Y_1,Y_2|X_1,X_2}$ with entanglement resources (quantum systems) shared between the transmitters. The entanglement resources of transmitter 1 and transmitter 2 are marked in red and blue, respectively.
  • Figure 2: Superposition coding at transmitter 1. Message $m_1'$ is intended to be decoded by both receivers and is encoded into distant cloud center codewords $u_1^n$. Message $m_1"$ is decoded solely by receiver 1 after the corresponding cloud center ($m_1'$) has already been determined.

Theorems & Definitions (13)

  • Definition 1
  • Lemma 1
  • Remark 1
  • Lemma 2
  • Theorem 3
  • Lemma 4
  • Lemma 5
  • Remark 2
  • Remark 3
  • Theorem 6
  • ...and 3 more