Millimeter-Wave Enhanced Local Area Systems: A High-Data-Rate Approach for Future Wireless Networks
By Amitava Ghosh, Timothy A. Thomas, M. Cudak, R. Ratasuk, P. Moorut, F. Vook, Theodore Ted S. Rappaport, George R. MacCartney, Shu Sun, Shuai Nie. IEEE Journal on Selected Areas in Communications, 2014
813 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/ecd2fee6df2ee0a3d28dc40077d04173f3905a64
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Citations in the corpus
- Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond (2019, background): “Polarization diversity can provide up to twice the data rates in dual-polarized communication systems, as compared to single co-polarized systems without any extra bandwidth or spatial separation between antennas [142], [143].”
- Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems (2016, methodology): “time domains [6], [11], [12], [10], [13]. Recent research measurements show that mmWave channels typically exhibit only 3-4 scattering clusters in dense-urban non-line-of-sight environments [7], [8], [14]. Therefore, conventional MIMO channel estimation methods cannot be applied directly in mmWave s”
- Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, methodology): “An alternative technique is to opt for single carrier (SC) modulation [81], [93], [234], [235] combined with frequency domain equalization (FDE) to mitigate the ISI caused by the frequency selective channel, since SCFDE tolerates power-efficient nonlinear amplifiers and it is also tolerant to phase ”
- An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (2015, background): “A major outstanding issue is characterizing the joint probabilities in outage between links from different cells, which is critical in assessing the benefits of macro-diversity [65], [66].”
- Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, background): “towards single- carrier-enabled waveform design approaches for mmWave systems too [108].”
- Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems (2015, background): “Further, the dominant channel eigenspaces of the different subcarriers may have high correlation at mmWave channels [11], [59].”
- Stochastic Geometry Modeling and Analysis of Multi-Tier Millimeter Wave Cellular Networks (2014, background): “These preliminary but encouraging results have motivated several researchers to investigate potential and challenges of mmWave cellular communications for wireless access, in the light of the large and unused spectrum available at these frequencies [3], [4].”
- Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks (2016, background): “integrate a lot more antenna elements and form narrow beams to extend the coverage. A hybrid solution to incorporate mmWave and UDN schemes is another possible way to deliver energy efficient networks [199]–[201], where macro cells working at the low frequency band provide the coverage layer and smal”
- Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design (2019, background): “INTRODUCTION Millimeter-wave (mmWave) communication is a promising technology for future cellular networks [1]–[3].”
- Millimeter Wave Communications for Future Mobile Networks (2017, background): “Reference [13], published in 2014, discussed the mmWave mobile in channel modeling, modulation, network architecture.”
- Channel Estimation for Hybrid Architecture-Based Wideband Millimeter Wave Systems (2016, background): “rse Formulation in the Time Domain For the sparse formulation of the proposed time domain approach, consider block transmission of training frames, with a zero prefix (ZP) appended to each frame [31], [32]. The frame length is assumed to be N and the ZP length is set to N c 1, with N>N c, the numb”
- Downlink Cellular Network Analysis With Multi-Slope Path Loss Models (2014, background): “5 for non line of sight (NLOS) links [12].”
- A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges (2015, methodology): “Ghosh et al. [101] made a case for using mmWave bands, in particular the 28, 38, 71–76 and 81–86 GHz bands for the 5G enhanced local area (eLA) access.”
- Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—With a Focus on Propagation Models (2017, methodology): “A simple analysis illustrated that 1 GHz wide channels at 28 or 73 GHz could offer several Gbps of data rate to UE with modest phased array antennas at the mobile handset [4], and early work showed 15 Gbps peak rates are possible with 4× 4 phased arrays antenna at the UE and 200 m spacing between ba”
- Combating the Distance Problem in the Millimeter Wave and Terahertz Frequency Bands (2018, background): “E-mail: chong.han@sjtu.edu.cn. sub-bands have been allocated for licensed communications, including 27.5-29.5 GHz, 36-40 GHz, 57-64 GHz, 71-76 GHz and 81-86 GHz, and 92-95 GHz [2].”
- Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information (2014, background): “A main reason is due to the use of millimete r wave (mmWave) carrier frequencies in personal area network s [2], local area networks [3], and likely even cellular netwo rks [4].”
- Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments (2015, background): “st years), high-order MIMO techniques [46] [47], etc. Cell Type 4, finally, will push the technology frontier even further by using a very wide spectrum in high-frequency bands, e.g., mmWave [48] [49] [50], and exploiting massive MIMO techniques to achieve large beam forming and spatial multiplexing ”
- End-to-End Simulation of 5G mmWave Networks (2017, methodology): “These differ signifi-cantly from the OFDMA-based schedulers available in ns–3 LENA [52] as, instead of allocating Resource Blocks/Resource Block Groups of frequency-domain resources, these TDMA-based schedulers allocate time-domain symbols within a periodic subframe to different users in the DL or UL”