Multiuser precoding design in multicell-cooperation multiple-input multiple-output (MU-MIMO) systems is a challenging task due to the inevitable information exchange among cooperative base stations (BSs). Based on the productive deep unfolding technique, this paper proposes a multicell-cooperation iterative framework, namely an unfolding synchronous distributed weighted mean-squared-error minimization (USD-WMMSE), to enable distributed and synchronous precoding calculations at the BSs. We develop the USD-WMMSE framework by employing the best response (BR) parallel iteration to decompose the coupling WMMSE precoding in multicell-cooperation MU-MIMO systems into a synchronous distributed scheme. The framework is unfolded into a sequential of neural networks with the iteration step sizes as trainable parameters to accelerate the convergence via unsupervised training. The convergence behavior of the USD-WMMSE is also theoretically proved. Simulation results validate that the proposed USD-WMMSE approaches the sum rate of the centralized WMMSE method with a computational complexity reduction from O B 3 to O B 2 with respect to the number of cooperative BSs, B. The proposed USD-WMMSE also exhibits generalizability to various tested scenarios such as different transmit power and iteration numbers.

Chenyang Yi

Wei Xu

Yan Sun

Derrick Wing Kwan Ng

Zhaocheng Wang

IEEE Transactions on Cognitive Communications and Networking

IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING (TCCN) 致力于及时出版高质量的手稿，推动认知通信和网络研究的最新发展。交易的重点将放在通信和网络控制各个方面的“认知”行为，从 PHY 功能（包括硬件）到应用程序（包括架构），以及在各种类型的通信网络和系统中，无论其类型如何流量、传输媒体、操作环境或通信设备的能力。 TCCN 将欢迎有关认知通信和网络系统的设计、分析、评估、实验和测试的论文。鼓励跨学科方法。专注于认知通信和网络的实验基础设施或工具的论文也将被考虑，前提是它们包含在通信或网络领域的重要原创贡献。

The IEEE Transactions on Cognitive Communications and Networking (TCCN) is dedicated to the timely publication of high-quality manuscripts that advance the latest developments in cognitive communications and networking research. The journal focuses on the 'cognitive' behaviors in various aspects of communication and network control, ranging from physical layer functionalities (including hardware) to applications (including architecture), applicable to various types of communication networks and systems, regardless of their traffic, transmission media, operational environments, or capabilities of communication devices. TCCN welcomes papers on the design, analysis, evaluation, experimentation, and testing of cognitive communication and networking systems, and encourages interdisciplinary approaches. Papers focusing on experimental infrastructures or tools for cognitive communications and networking will also be considered, provided they contain significant original contributions to the field of communications or networking.

《IEEE Transactions on Cognitive Communications and Networking》致力于及时出版高质量的手稿，推动认知通信和网络研究的最新发展。期刊重点关注通信和网络控制各个方面的“认知”行为，涵盖从物理层功能（包括硬件）到应用程序（包括架构）的广泛主题，适用于各种类型的通信网络和系统，无论其流量、传输媒体、操作环境或通信设备的能力如何。期刊欢迎有关认知通信和网络系统的设计、分析、评估、实验和测试的论文，并鼓励跨学科的方法。同时，专注于认知通信和网络的实验基础设施或工具的论文也将被考虑，前提是它们在通信或网络领域具有重要的原创贡献。

Category	Quartile
计算机科学	1
计算机科学, 电信学	1

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