Wireless Communications: Principles and Practice (2nd Edition) by

By Theodore Ted S. Rappaport. 2012

2,316 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/cc1458c88a2ae916634d1e3fb54f1ff555b3579c

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Citations in the corpus

Symbiotic Radio: A New Communication Paradigm for Passive Internet of Things (2018, methodology): “We adopt the path loss model in [19] and [44], and thus the path losses for each channel are calculated as follows:”
Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications (2016, methodology): “The CI and CIF models are therefore based on fundamental principles of wireless propagation, dating back to Friis and Bullington, where the PLE parameter offers insight into path loss based on the environment, having a PLE value of 2 in free space (as shown by Friis) and a value of 4 for the asympto”
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (2015, background): “For free-space propagation, the transmit power, Pt, and far-field receive power, Pr, are related by Friis’ Law [41],”
Experiment-Driven Characterization of Full-Duplex Wireless Systems (2011, result): “We first note that the experimental data looks rather scattered and does not show smooth behavior; this is typical of experimental results [10].”
Proposal on Millimeter-Wave Channel Modeling for 5G Cellular System (2016, methodology): “This dual-slope model derived in this approach provides the small RMS error between path loss and model in the first slope and the second slope over all distance range (note the dual-slope CI equation is not shown for convenience, see [21], [48], [50]).”
An Empirical Path Loss Model and Fading Analysis for High-Speed Railway Viaduct Scenarios (2011, methodology): “The proposed path loss model is based on a log-normal shadowing model [9], shown as”
A Tractable Approach to Coverage and Rate in Cellular Networks (2010, background): “Tractable analysis can sometimes be achieved for a fixed user with a small number of interfering base stations, for example by considering the “worst-case” user location – the cell corner – and finding the signal-to-interference-plus-noise ratio (SINR) [12], [13].”
Multibeam Antenna Technologies for 5G Wireless Communications (2017, background): “EVER since the beginning of the 1980s, we have witnessed a rapid evolution of commercial wireless communications from simple voice systems to advanced mobile broadband multimedia systems [1]–[3].”
Ray Tracing for Radio Propagation Modeling: Principles and Applications (2015, methodology): “One of the most famous empirical models is the Hata-Okumura model for urban regions [11]–[14].”
Capacity Enhancement Using an Interference Limited Area for Device-to-Device Uplink Underlaying Cellular Networks (2011, methodology): “In (1), a path-loss model defined as Pa = c ⋅(da) ⋅P0, is used, where P0 and Pa refer to an initial transmit power and a signal power measured at da away from the transmitter, respectively, where c and α are a path-loss constant and a path-loss exponent, respectively [10].”
We Can Hear You with Wi-Fi! (2014, background): “Such multipath effect creates varying path loss across frequencies, known as frequency diversity [38].”
Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios (2015, methodology): “The CI model is based on fundamental principles of wireless propagation, dating back to Friis and Bullington, where the PLE offers insight into path loss based on the environment, having a value of 2 in free space as shown by Friis and a value of 4 for the asymptotic two-ray ground bounce propagatio”
QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials (2014, methodology): “Then we calculate the spread as proposed in [36]: (50)”
Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design (2015, background): “Temporal channel statistics such as relative excess delay and RMS delay spread do not require synchronized timing [30].”
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities (2020, background): “Traditionally, smooth surfaces much larger than the wavelength are modeled as reflectors [21], [23], which gives metasurface-based RIS a huge advantage over reflectarraybased RIS.”
Avoiding multipath to revive inbuilding WiFi localization (2013, methodology): “Modeling Path-loss: We did not explore sophisticated path-loss models [43] in our system.”
Robust Power Management via Learning and Game Design (2021, background): “…is extremely diﬃcult to achieve in large-scale wireless networks, a single point of failure in a centralized allocator could have devastating network-wide eﬀects, the communication overhead alone becomes unmanageable in cellular networks, and the list goes on (Rappaport 2001, Goldsmith 2005).”
Indoor Office Wideband Millimeter-Wave Propagation Measurements and Channel Models at 28 and 73 GHz for Ultra-Dense 5G Wireless Networks (2015, methodology): “The advent of smartphones and ‘‘Wireless Fidelity’’ (WiFi) enabled devices has facilitated the surge in wireless technologies and applications, but has created congestion in the sub–6 GHz spectrum in which a majority of these devices operate in [6]–[9].”