Multi-Beam Multiple Access Scheme for Uplink Traffic of Wireless Virtual Reality with Millimeter-Wave Analog Beamforming

Wireless Virtual Reality (VR) is a new-arising technology to enable the untethered connection between VR server and VR client, whose traffic characteristics include both ultra-high data rate in downlink and periodic small-size data packets in uplink. The downlink requires ultra-wide bandwidth and hence leads to the usage of millimeter-wave (mmWave) spectrum with analog beamforming; however, this causes difficulty for the uplink: the efficient multiple access of small-packet users in the same mmWave carrier by time-division duplex (TDD). Therefore, this paper proposes a multi-beam multi-access scheme for the uplink traffic of multiple VR users with mmWave analog beamforming. Specifically, this scheme contains an analog beamforming weight determination function and a frequency-division user scheduling function, which are executed iteratively with the increasing number of selected users. Therein, the proposed multi-beam analog beamforming pattern generation method is able to generate arbitrary number of beams with flexible beam directions, beam widths and beamforming gain ratios, by the constant-modulus weights with one radio-frequency chain. It is demonstrated by the simulation results that the proposed multi-beam multi-access scheme increases 200% for the maximum number of simultaneously served VR uplink users than the traditional single-beam multi-access scheme in 5G systems with mmWave analog beamforming.

[1]  Qiang Li,et al.  Multipath Cooperative Communications Networks for Augmented and Virtual Reality Transmission , 2017, IEEE Transactions on Multimedia.

[2]  Victor C. M. Leung,et al.  Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations , 2017, IEEE Journal on Selected Areas in Communications.

[3]  Nasir Ghani,et al.  Simultaneous multi-beam analog beamforming and coded grating lobes for initial access in mmWave systems , 2017, 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).

[4]  Sridhar Rajagopal Beam broadening for phased antenna arrays using multi-beam subarrays , 2012, 2012 IEEE International Conference on Communications (ICC).

[5]  Zhe Chen,et al.  BUSH: Empowering large-scale MU-MIMO in WLANs with hybrid beamforming , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[6]  Hai Lin,et al.  Angle Domain Hybrid Precoding and Channel Tracking for Millimeter Wave Massive MIMO Systems , 2017, IEEE Transactions on Wireless Communications.

[7]  Steven M. LaValle,et al.  Head tracking for the Oculus Rift , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[8]  Thomas Q. Wang,et al.  Low-Complexity Uplink Multiuser Receivers for MIMO System with Massive Hybrid Array , 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).

[9]  Takefumi Hiraguri,et al.  Multi-beam massive MIMO using analog beamforming and DBF based blind algorithm , 2015, 2015 International Symposium on Antennas and Propagation (ISAP).