3,141 research outputs found
A novel weighted fusion based efficient clustering for improved wi-fi fingerprint indoor positioning
Tensor Completion for Radio Map Reconstruction using Low Rank and Smoothness
Radio maps are important enablers for many applications in wireless networks,
ranging from network planning and optimization to fingerprint based
localization. Sampling the complete map is prohibitively expensive in practice,
so methods for reconstructing the complete map from a subset of measurements
are increasingly gaining attention in the literature. In this paper, we propose
two algorithms for this purpose, which build on existing approaches that aim at
minimizing the tensor rank while additionally enforcing smoothness of the radio
map. Experimental results with synthetic measurements derived via ray tracing
show that our algorithms outperform state of the art techniques
A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G
Sixth-generation (6G) mobile communication networks are expected to have
dense infrastructures, large-dimensional channels, cost-effective hardware,
diversified positioning methods, and enhanced intelligence. Such trends bring
both new challenges and opportunities for the practical design of 6G. On one
hand, acquiring channel state information (CSI) in real time for all wireless
links becomes quite challenging in 6G. On the other hand, there would be
numerous data sources in 6G containing high-quality location-tagged channel
data, making it possible to better learn the local wireless environment. By
exploiting such new opportunities and for tackling the CSI acquisition
challenge, there is a promising paradigm shift from the conventional
environment-unaware communications to the new environment-aware communications
based on the novel approach of channel knowledge map (CKM). This article aims
to provide a comprehensive tutorial overview on environment-aware
communications enabled by CKM to fully harness its benefits for 6G. First, the
basic concept of CKM is presented, and a comparison of CKM with various
existing channel inference techniques is discussed. Next, the main techniques
for CKM construction are discussed, including both the model-free and
model-assisted approaches. Furthermore, a general framework is presented for
the utilization of CKM to achieve environment-aware communications, followed by
some typical CKM-aided communication scenarios. Finally, important open
problems in CKM research are highlighted and potential solutions are discussed
to inspire future work
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