Wireless Networks: Information Theoretic Perspectives III

Dear Colleagues,

Network information theory is a framework for studying performance limits in communications over networks; as such, it is expected to continue to play an essential role in the future development of wireless networks, including 5G and beyond. This Special Issue aims to bring together the body of recent results in network information theory in order to bolster its value and emphasize its continued importance in the development of wireless communications. Previously unpublished contributions in the intersection network information theory and wireless networks are solicited, including (but not limited to) the following:

• Emerging information theoretic models for wireless communications;
• Gaussian networks;
• Capacity scaling laws;
• Massive networks;
• Random access;
• Interference mitigation schemes;
• Relaying techniques;
• MIMO channels;
• Massive MIMO;
• Low-latency communications;
• Secure and private communications;
• Low power communications;
• Code design for networks;
• Interactive communications and feedback;
• Communication under channel uncertainty;
• Mismatched network capacity;
• Cloud and fog radio access networks;
• Caching for wireless communications.

Dr. Alex Dytso
Dr. Luca Barletta
Guest Editors

Manuscript Submission Information

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