The present invention relates generally to a massive multi-input multi-output (MIMO) communication system. More particularly, the present invention relates to a method and an apparatus of channel estimation in a multi-user massive MIMO (MU-MIMO) system.
The Fifth Generation (5G) wireless network has the potential to radically change the communication infrastructure and business models across a broad range of fronts. Among the many technological advances in 5G networks is a brand new radio interface unconstrained by previous designs. This interface may employ massive MIMO and beam-forming technologies in a single antenna array that can greatly increase spectral efficiency with spatial diversity while supporting multi-users with increased signal to interference noise ratio (SINR).
Due to various advantages such as large beam-forming gain and spatial multiplexing gain, and high spatial resolution, massive MIMO communications have attracted considerable interest for future deployment in next generation of wide area wireless communication systems. In a massive MIMO system, a transmitter often has a very large number (i.e. from about 10 to over 100) of transmit antenna elements. To achieve high data transmission rate, one way is to transmit multiple data streams simultaneously through multiple antennas to a user equipment (UE). For example in
In a MU-MIMO system, the use of beam-forming increases SINR and capacity for each user. However, with the use of beam-forming, antenna calibration is required because the beam-forming algorithm relies on the precise knowledge of the phase and amplitude of the radio frequency (RF) signal. Yet, each RF chain, which may comprise a number of integrated circuits (RFICs), power amplifiers, and ADC/DACs, has various phase and power amplifier performance that are affected by temperature variations, and the undesirable effects of microstrip line and mechanical tolerances. Absent any calibration, the phase difference between the RF chains can be as high as +/−20 degree. This is unacceptable as beam-forming can tolerate a maximum of only +/−2 degree phase difference. Thus, antenna calibration is needed to provide the amplitude and phase correction in the RF feeds to the antennas.
Existing solutions include non-adaptive calibration, which involves taking measurements of the beam signal from the antenna array using an external network analyzer and adjusting the amplitude and phase for correction in the RF feeds; however, this solution greatly complicates the system's operation infrastructure with ad hoc additional expensive equipment and procedures.
One adaptive calibration solution is to use a separate calibration circuitry (implemented with i.e. DSPs or FPGAs) and separate calibration transceiver for each RF chain. In this solution, each RF chain has a directional coupler attached at the port directly before the antenna's feeding network and the coupler is connected to a separate receiver network having the calibration circuitry with a feedback path to the RF chain. A pilot signal is sent through all RF chains and measurements are taken at the couplers as input to the receiver networks for determining the amplitude and phase correction. This solution is accurate, but expensive with many additional components, such as combiners and power splitters in the calibration circuitries, added to the RF chains.
Another adaptive calibration solution is to utilize the mutual coupling properties between the antennas to compute the phase differences among them. However, because the return RF chains are not the same as the forward RF chains due to the presence of active devices, this solution is relatively less accurate, though less expensive than the aforesaid solutions.
In addition to the problems presented by antenna calibration, present beam-forming techniques also suffer the problem of excessive power consumption; for instance, in digital beam-forming (DBF), the RF chains, which must include numerous RFICs, power amplifiers, and ADC/DACs, consume large amount of power; and in analog beam-forming (ABF), the variable phase-shifters in the RF chains are very lossy.
The present invention provides a selective beam-forming sub-arrays aiming to mitigate the antenna calibration and power consumption problems. In accordance with various embodiments of present invention, provided is one or more selective beam-forming sub-arrays employing hybrid beam-forming (HBF) with M digital beam-forming and 2N antenna elements per sub-array for a total of M times 2N antenna elements (forming a passive beam-forming network). Each sub-array contains a feeding network with 2N inputs and 2N outputs where each input is connected to all outputs, forming an antenna beam in a specified direction using only elements that do not require external power or control (i.e. diodes, switches, MEMs, etc.)
In accordance with one embodiment, the total antenna array power consumption is M times (PDBF+0.5 dBm) where PDBF is the power consumption of the digital beam-former. There is no requirement of calibration network for each array. And the number of beams generated is M times 2N.
The advantages of the present invention include that the power consumption is reduced in comparison to other array architecture. With lower power consumption by the electronics, smaller heat sinks are allowed and in turn lower cost and packaging size are possible. The system complexity is also reduced due to the elimination of antenna calibration network.
Embodiments of the invention are described in more detail hereinafter with reference to the drawings, in which
In the following description, systems and methods of beam-forming in MU-MIMO systems are set forth as preferred examples. It will be apparent to those skilled in the art that modifications, including additions and/or substitutions may be made without departing from the scope and spirit of the invention. Specific details may be omitted so as not to obscure the invention; however, the disclosure is written to enable one skilled in the art to practice the teachings herein without undue experimentation.
Referring to
Referring to
In various embodiments, each passive beam-former sub-array comprises a 2N element Butler matrix in place of separate antenna feeds feeding 2N number of antennas. A Butler matrix is a n-input-n-output signal-feeding network comprising primarily directional couplers and phase-shifters. It has been described in numerous printed publications including Butler et al., Beam-Forming Matrix Simplifies Design of Electronically Scanned Antennas, Electronic Design, volume 9, pp. 170-173, April, 1961; the content of which is incorporated herein by reference in its entirety. The passive beam-former sub-array generates the multiple antenna beams for a MU-MIMO system without the need of an antenna calibration network.
A selection matrix is an antenna signal-feeding network containing n number of inputs and n number of outputs such that a RF signal entering one input exits several or all of the outputs. In various embodiments, a Butler matrix is employed as the selection matrix where a RF signal entering one input exits all outputs such that n separate RF signal beams with progressive phase distribution are produced at the outputs to cover the entire half-hemisphere in front of the antenna array. This is illustrated in
Referring to
Referring to
In one preferred embodiment, the optimum number, from an energy efficiency perspective, of antennas and transceivers in the improved HBF architecture are 4 RF transceivers and 8 (N=3) antennas per RF transceiver respectively for a total of 32 antennas. Table 1 below compares the power consumptions of ABF, DBF, HBF, and the improved HBF architecture in MU-MIMO systems in accordance to the present invention.
The electronic embodiments disclosed herein may be implemented using general purpose or specialized computing devices, computer processors, or electronic circuitries including but not limited to application specific integrated circuits (ASIC), field programmable gate arrays (FPGA), and other programmable logic devices configured or programmed according to the teachings of the present disclosure. Computer instructions or software codes running in the general purpose or specialized computing devices, computer processors, or programmable logic devices can readily be prepared by practitioners skilled in the software or electronic art based on the teachings of the present disclosure.
The electronic embodiments include computer storage media having computer instructions or software codes stored therein which can be used to program computers or microprocessors to perform any of the processes of the present invention. The storage media can include, but are not limited to, floppy disks, optical discs, Blu-ray Disc, DVD, CD-ROMs, and magneto-optical disks, ROMs, RAMs, flash memory devices, or any type of media or devices suitable for storing instructions, codes, and/or data.
The foregoing description of the present invention has been provided for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise forms disclosed. Many modifications and variations will be apparent to the practitioner skilled in the art.
The embodiments were chosen and described in order to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the invention for various embodiments and with various modifications that are suited to the particular use contemplated.
This is a national phase application of PCT/CN2017/000234, filed on Mar. 14, 2017, which claims priority to the U.S. Provisional Patent Application No. 62/307,582, filed Mar. 14, 2016, the disclosure of which is incorporated herein by reference in its entirety.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/CN2017/000234 | 3/14/2017 | WO | 00 |
| Publishing Document | Publishing Date | Country | Kind |
|---|---|---|---|
| WO2017/157087 | 9/21/2017 | WO | A |
| Number | Name | Date | Kind |
|---|---|---|---|
| 7151951 | Goransson | Dec 2006 | B2 |
| 9445282 | Chen | Sep 2016 | B2 |
| 20070285312 | Gao | Dec 2007 | A1 |
| 20120230380 | Keusgen | Sep 2012 | A1 |
| 20130229308 | Pu | Sep 2013 | A1 |
| 20140341310 | Rahman | Nov 2014 | A1 |
| Entry |
|---|
| J. Jeganathan et. al., “Space Shift Keying Modulation for MIMO Channels”, IEEE Transactions on Wireless Communications, 2009, vol. 8 (7), p. 3692-3703. |
| Number | Date | Country | |
|---|---|---|---|
| 20180175916 A1 | Jun 2018 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62307582 | Mar 2016 | US |