Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Vutha Va"'
Publikováno v:
IEEE Access, Vol 11, Pp 136869-136884 (2023)
A mobile device - or user equipment (UE) - using 5G can be configured to operate with large bandwidths and a large number of MIMO layers to enable high-throughput applications. This, however, comes at the cost of high power consumption. A variety of
Externí odkaz:
https://doaj.org/article/f53ad700aadf4d62893395535da6ba15
Autor:
Anum Ali, Priyabrata Parida, Vutha Va, Saifeng Ni, Khuong Nhat Nguyen, Boon Loong Ng, Jianzhong Charlie Zhang
Publikováno v:
IEEE Access, Vol 10, Pp 88692-88706 (2022)
Millimeter-wave (mmWave) radar sensors are a promising modality for gesture recognition as they can overcome several limitations of optic sensors typically used for gesture recognition. These limitations include cost, battery consumption, and privacy
Externí odkaz:
https://doaj.org/article/2672c82c6842426495d000495abbb221
Publikováno v:
IEEE Access, Vol 9, Pp 51832-51846 (2021)
Finding the optimal transmit and receive beam pair for reliable communication can be challenging, especially in highly dynamic environments. Side-information from on-board sensors at the user equipment (UE) can be used to aid the beam management (BM)
Externí odkaz:
https://doaj.org/article/13fde7e24b164c4eace61609ebee1866
Publikováno v:
IEEE Access, Vol 7, Pp 30507-30526 (2019)
Accurate beam alignment is essential for the beam-based millimeter wave communications. The conventional beam sweeping solutions often have large overhead, which is unacceptable for mobile applications, such as a vehicle to everything. The learning-b
Externí odkaz:
https://doaj.org/article/6ccfb40efd19457d8cc451e726b9cbdd
Autor:
Jeffrey G. Andrews, Boon Loong Ng, Vutha Va, Jianzhong Charlie Zhang, Jianhua Mo, Anum Ali, Yuqiang Heng
Publikováno v:
IEEE Communications Magazine. 59:74-79
Future cellular networks will increasingly rely on the millimeter-wave bands to increase capacity. Migrating to ever higher carrier frequencies will require increasingly directional beamforming to establish and maintain the link. Intelligent beam man
Publikováno v:
IEEE Access, Vol 7, Pp 30507-30526 (2019)
Accurate beam alignment is essential for beam-based millimeter wave communications. Conventional beam sweeping solutions often have large overhead, which is unacceptable for mobile applications like vehicle-to-everything. Learning-based solutions tha
Publikováno v:
IEEE Wireless Communications Letters. 7:784-787
This letter derives bounds on performance degradation due to measurement noise in millimeter wave beam alignment methods that train a subset of beam pairs. The analysis applies the union bound and pairwise beam selection error for a wideband channel.
Publikováno v:
IEEE Communications Magazine. 55:140-146
Configuring the antenna arrays is the main source of overhead in mmWave communication systems. In high mobility scenarios, the problem is exacerbated, as achieving the highest rates requires frequent link reconfiguration. One solution is to exploit s
Autor:
Robert W. Heath, Robert C. Daniels, Nuria Gonzalez-Prelcic, Junil Choi, Chandra R. Bhat, Vutha Va
Publikováno v:
IEEE Communications Magazine. 54:160-167
As driving becomes more automated, vehicles are being equipped with more sensors generating even higher data rates. Radars are used for object detection, visual cameras as virtual mirrors, and LIDARs for generating high resolution depth associated ra
Publikováno v:
GLOBECOM Workshops
Estimating time-selective millimeter wave wireless channels with directive antennas poses a challenging task. A feasible way of relaxing this channel estimation problem is to focus on the tracking of a few multipath components (MPCs). Aligning antenn