WO2019095247A1 - Unmanned aerial vehicle, and power control method thereof - Google Patents

Unmanned aerial vehicle, and power control method thereof Download PDF

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Publication number
WO2019095247A1
WO2019095247A1 PCT/CN2017/111512 CN2017111512W WO2019095247A1 WO 2019095247 A1 WO2019095247 A1 WO 2019095247A1 CN 2017111512 W CN2017111512 W CN 2017111512W WO 2019095247 A1 WO2019095247 A1 WO 2019095247A1
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Prior art keywords
uav
base station
transmit
serving base
power
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PCT/CN2017/111512
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French (fr)
Chinese (zh)
Inventor
赵岩
孙欢
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上海诺基亚贝尔股份有限公司
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Priority to PCT/CN2017/111512 priority Critical patent/WO2019095247A1/en
Priority to CN201780096798.6A priority patent/CN111386658B/en
Publication of WO2019095247A1 publication Critical patent/WO2019095247A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0408Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas using two or more beams, i.e. beam diversity
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • Embodiments of the present disclosure generally relate to wireless communication systems including unmanned aerial vehicles, and more particularly, to methods for unmanned aerial vehicles and their power control.
  • Embodiments of the present disclosure provide an unmanned aerial vehicle, a power control method thereof, and a computer program.
  • a method for power control of an unmanned aerial vehicle includes: determining a first transmit power of the UAV and a transmit beamforming gain of the UAV to the serving base station; reducing the first transmit power to obtain a second transmit power based on the transmit beamforming gain; and utilizing and transmitting The beam associated with the beamforming gain transmits a signal to the serving base station at a second transmit power.
  • the method can further include receiving a message from the serving base station indicating the desired received power of the serving base station for the unmanned aerial vehicle; and adjusting the second transmit power based on the expected received power.
  • transmitting the signal to the serving base station at the second transmit power using the beam associated with the transmit beamforming gain may include determining that the UAV is the extreme of interference that would produce a greater than a predetermined interference threshold in the uplink. Interfering with the unmanned aerial vehicle; and in response to determining that the unmanned aerial vehicle is an extreme interference unmanned aerial vehicle, transmitting a signal to the serving base station with the second transmit power using a beam associated with the transmit beamforming gain.
  • determining that the UAV is an extreme interference unmanned aerial vehicle may include determining that the UAV is in an excessive interference state of the downlink by detecting interference in a downlink of the serving base station and the UAV; The UAV is determined to be an extreme interference with the UAV based on determining that the UAV is in an excessively interfering state of the downlink.
  • determining the first transmit power of the UAV may include determining the first transmit power based on a nominal transmit power of the UAV and a path loss of the UAV to the serving base station.
  • determining the transmit beamforming gain of the UAV to the serving base station can include determining a transmit beamforming gain based on a receive beamforming gain for the serving base station.
  • the method may further comprise: determining a first signal to interference and noise ratio received from the serving base station using receive beamforming for the serving base station; determining a second to receive from the serving base station without using receive beamforming a signal to interference and noise ratio; and determining a receive beamforming gain based on the first signal to interference and noise ratio and the second signal to interference and noise ratio.
  • obtaining the second transmit power may include determining the second transmit power such that: at the serving base station, the unmanned aircraft uses the second transmit power and the receive power in the case of the beam The change between the received power in the case where the aircraft uses the first transmit power is lower than a predetermined threshold, and at the non-serving base station, the interference power in the case where the unmanned aircraft uses the second transmit power and the beam is smaller than in the unmanned The interference power in the case where the aircraft uses the first transmission power.
  • obtaining the second transmit power can include: receiving a scaling factor from the serving base station; scaling the transmit beamforming gain with a scaling factor; and deriving the scaled transmit beamforming gain using the first transmit power minus Second transmit power.
  • the scaling factor may be determined by the higher layer based on the adjustment of the transmit beamforming gain and the difference between the uplink transmit beam and the downlink receive beam.
  • an unmanned aerial vehicle includes at least one processor and at least one memory including computer program instructions. At least one memory and computer program instructions are configured, with the at least one processor, to cause the unmanned aircraft to: determine a first transmit power of the unmanned aerial vehicle and a transmit beamforming gain of the unmanned aircraft to the serving base station; Shape gain to reduce the first transmit power to obtain a second transmit power; and transmit a signal to the serving base station at a second transmit power using a beam associated with the transmit beamforming gain.
  • the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: receive a message from the serving base station indicating the desired received power of the serving base station for the UAV And adjusting the second transmit power based on the expected received power.
  • the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine that the UAV is to generate interference that is greater than a predetermined interference threshold in the uplink. Extremely interfering with the unmanned aerial vehicle; and in response to determining that the unmanned aerial vehicle is an extreme interference unmanned aerial vehicle, transmitting a signal to the serving base station at a second transmit power using a beam associated with the transmit beamforming gain.
  • the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine by detecting interference in the downlink of the serving base station and the UAV The human aircraft is in an excessively disturbing state of the downlink; and the unmanned aerial vehicle is determined to be an extreme interference with the unmanned aerial vehicle based on determining that the unmanned aerial vehicle is in an excessively disturbing state of the downlink.
  • the at least one memory and computer program instructions can be further configured to, with the at least one processor, cause the UAV to: based on the nominal transmit power of the UAV and the path loss of the UAV to the serving base station To determine the first transmit power.
  • the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine a transmit beamforming gain based on a receive beamforming gain for the serving base station.
  • the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine to use the first signal received from the serving base station using a receive beamforming for the serving base station a noise to noise ratio; determining a second signal to interference and noise ratio that is received from the serving base station without using receive beamforming; and determining a received beamforming gain based on the first signal to interference and noise ratio and the second signal to interference and noise ratio.
  • the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine the second transmit power such that: at the serving base station, in the UAV The change between the second transmit power and the received power in the case of the beam and the received power in the case where the unmanned aircraft use the first transmit power is below a predetermined threshold, and at the non-serving base station, in the unmanned aerial vehicle The second transmit power and the interference power in the case of the beam are less than the interference power in the case where the unmanned aircraft uses the first transmit power.
  • the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: receive a scaling factor from the serving base station; scale the transmit beamforming gain with a scaling factor; The second transmit power is derived using the first transmit power minus the scaled transmit beamforming gain.
  • the scaling factor may be determined by the higher layer based on the adjustment of the transmit beamforming gain and the difference between the uplink transmit beam and the downlink receive beam.
  • a computer program product is provided.
  • the computer program product is tangibly stored on a non-transitory computer readable medium and includes machine executable instructions.
  • the machine executable instructions when executed, cause the machine to perform the steps of the method according to the first aspect.
  • FIG. 1 illustrates a wireless communication system including an unmanned aerial vehicle in which an unmanned aerial vehicle does not use beamforming transmit signals, in accordance with an embodiment of the present disclosure.
  • FIG. 2 illustrates a wireless communication system including an unmanned aerial vehicle in which an unmanned aerial vehicle uses beamforming to transmit signals, in accordance with an embodiment of the present disclosure.
  • FIG 3 illustrates a wireless communication system including an unmanned aerial vehicle in which an unmanned aerial vehicle reduces transmit power based on a transmit beamforming gain, in accordance with an embodiment of the present disclosure.
  • FIG. 4 illustrates a method for power control of an unmanned aerial vehicle in accordance with an embodiment of the present disclosure.
  • FIG. 5 shows a system simulation diagram for verifying the effectiveness of an embodiment of the present disclosure.
  • Figure 6 shows a block diagram of a device suitable for implementing an embodiment of the present disclosure.
  • terminal device refers to any device having wireless communication capabilities, including but not limited to, a mobile phone, a cellular phone, a smart phone, an unmanned aerial vehicle, a personal digital assistant (PDA), Portable computers, image capture devices such as digital cameras, gaming devices, music storage and playback devices, any portable unit or terminal with wireless communication capabilities, or Internet devices that enable wireless Internet access and browsing, and the like.
  • PDA personal digital assistant
  • terminal device And “user equipment” can be used interchangeably.
  • terminal devices in a communication system include, but are not limited to, a mobile terminal (MT), a subscriber station (SS), a portable subscriber station (PSS), a mobile station (MS), an unmanned aerial vehicle, or an access terminal (AT).
  • MT mobile terminal
  • SS subscriber station
  • PSS portable subscriber station
  • MS mobile station
  • AT access terminal
  • BS base station
  • network device network node
  • network node refers to a device capable of providing or hosting a cell, one or more terminals being connectable Enter the community.
  • BS include, but are not limited to, Node B (NodeB or NB), evolved Node B (eNodeB or eNB), Remote Radio Unit (RRU), Radio Head (RH), Remote Radio Head (RRH), Medium Successive, low power nodes, such as micro base stations, pico base stations, and femto base stations, and the like.
  • embodiments of the present disclosure provide a power control method and apparatus for an unmanned aerial vehicle that fully utilizes power in the field of wireless communication technology
  • the control mechanism and the beamforming mechanism alleviate the interference problem caused by the introduction of the UAV in the wireless communication system.
  • the basic principles and concepts of the power control method of the embodiment of the present disclosure are first described below with reference to FIGS.
  • FIG. 1 illustrates a wireless communication system 100 including an unmanned aerial vehicle 130 in which the unmanned aerial vehicle 130 does not use beamforming transmit signals, in accordance with an embodiment of the present disclosure.
  • wireless communication system 100 includes network devices 110 and 120 (e.g., eNBs), unmanned aerial vehicles 130, and terminal devices (e.g., user equipment UEs) 140.
  • network 110 is a serving base station for UAV 130
  • network device 120 is a non-serving base station for UAV 130
  • the network device 120 is a serving base station of the terminal device 140
  • the network device 110 is a non-serving base station for the terminal device 140.
  • network device 110 has a service range 111 and network device 120 has a service range 121.
  • the unmanned aerial vehicle 130 has a desired signal emission intensity 131 (abbreviation: emission range 131) after being converted by a desired received power.
  • the terminal device 140 has a signal transmission intensity 141. It should be understood that FIG. 1 is not drawn to scale, but for UAV 130 and terminal device 140, to aid understanding, its transmit power can be schematically described using the transmit range.
  • a transmission path 150 between the network device 110 and the UAV 130 is also depicted in FIG. 1.
  • the intersection 170 of the transmission path 150 and the transmission range 131 of the UAV 130 may schematically represent the UAV 130 to the serving base station.
  • the transmit power of 110 is 170.
  • an interference path 151 between the network device 120 and the unmanned aerial vehicle 130 is depicted in FIG. 1, and the intersection 180 of the interference path 151 and the transmission range 131 of the UAV 130 may schematically represent the unmanned aircraft 130 for non-serving The interference power 180 of the base station 120.
  • the interference path 151 of the unmanned aerial vehicle 130 and the non-serving base station 120 is likely to be unobstructed, resulting in a large interference power 180.
  • the wireless communication system 100 includes only two network devices 110 and 120, one unmanned aerial vehicle 130, and one terminal device 140, in particular practice, the wireless communication system 100 can include Any number of network devices, terminal devices, and unmanned aerial vehicles.
  • FIG. 2 illustrates a wireless communication system 200 including an unmanned aerial vehicle 130 in which an unmanned aerial vehicle 130 uses beamforming to transmit signals, in accordance with an embodiment of the present disclosure.
  • the apparatus and scope that have been described with reference to FIG. 1 are depicted in FIG. 2 with the same reference numerals and will not be described again.
  • the UAV 130 no longer has an omnidirectional transmission range 131, but has a directional transmit beam 210 for the serving base station 110.
  • the intersection 270 of the directional transmit beam 210 and the transmission path 150 may schematically represent the transmit power 270 of the unmanned aerial vehicle 130 to the serving base station 110 using beamforming.
  • unmanned aerial vehicle 130 typically also has a leak beam 220, It generally has the opposite direction to the directional transmit beam 210.
  • the intersection 280 of the leak beam 220 with the interference path 151 may schematically represent the interference power 280 of the unmanned aerial vehicle 130 to the non-serving base station 120 using beamforming.
  • the transmit power 170 of the UAV 130 for the serving base station 110 can be increased to the transmit power 270 due to the presence of the transmit beamforming gain.
  • the leak beam 220 is also a directional beam, as the sidelobe beam 220, which typically does not point to the non-serving base station 120, the interference power 180 of the unmanned aerial vehicle 130 to the non-serving base station 120 can be reduced to the interference power 280. Even if the sidelobe beam 220 is accidentally directed to the serving base station 120, it will not exceed the main lobe beam 270.
  • FIG. 2 schematically illustrates that the wireless communication system 200 includes only two network devices 110 and 120, one unmanned aerial vehicle 130, and one terminal device 140, in particular practice, the wireless communication system 200 can include Any number of network devices, terminal devices, and unmanned aerial vehicles.
  • embodiments of the present disclosure note that it would be advantageous to reduce the transmit power of the UAV 130 to a certain extent based on the use of beamforming by the UAV 130.
  • the unmanned aerial vehicle 130 uses the reduced transmit power, since the unmanned aerial vehicle 130 has the gain due to beamforming, the transmit power of the unmanned aerial vehicle 130 for the serving base station 110 can be substantially maintained.
  • the level of beamforming is not used, ie the transmit power 170.
  • the interference power 280 of the UAV 130 to the non-serving base station 120 can be further reduced, which would be advantageous. This case will be described in detail below in conjunction with FIG.
  • FIG. 3 illustrates a wireless communication system 300 including an unmanned aerial vehicle 130 in which the unmanned aerial vehicle 130 reduces transmit power based on the transmit beamforming gain, in accordance with an embodiment of the present disclosure.
  • the devices and ranges that have been described with reference to FIGS. 1 and 2 are depicted in FIG. 3 with the same reference numerals and will not be described again.
  • the unmanned aerial vehicle 130 has The directional transmit beam 310 is directed to the serving base station 110.
  • the intersection 370 of the directional transmit beam 310 and the transmission path 150 may schematically represent the transmit power 370 of the unmanned aerial vehicle 130 to the serving base station 110 in the case of using beamforming and reducing transmit power.
  • UAV 130 has a leak beam 320 that generally has an opposite direction to directional transmit beam 310.
  • the intersection 380 of the leak beam 320 with the interference path 151 may schematically represent the interference power 380 of the unmanned aerial vehicle 120 in the case of using the beamforming and reducing the transmit power.
  • the transmit power 370 for the serving base station 110 is smaller than the transmit power 270, although it is less than the transmit power 270 due to the presence of the transmit beamforming gain.
  • the transmit power 170 is substantially the same as in the case where beamforming is not used.
  • the leakage beam 320 becomes smaller than the leak beam 220, and it does not point to the non-serving base station 120, so the interference power 380 of the unmanned aerial vehicle 130 to the non-serving base station 120 can be interfered.
  • the power 280 is further reduced on the basis of.
  • embodiments of the present disclosure can ensure that the maximum interference of the UAV 130 to the non-serving base station 120 is no greater than that using the conventional LTE uplink power control method. That is, the beam 320 in FIG. 3 is covered by the range 131. Even though the UAV 130 is only configured with a relatively small number of antennas, embodiments of the present disclosure can greatly reduce the interference ratio or interference area as compared to conventional methods.
  • the wireless communication system 200 includes only two network devices 110 and 120, one unmanned aerial vehicle 130, and one terminal device 140, in particular practice, the wireless communication system 300 can include Any number of network devices, terminal devices, and unmanned aerial vehicles.
  • embodiments of the present disclosure propose a method for power control of unmanned aerial vehicle 130. This method is described in detail below in conjunction with FIG.
  • FIG. 4 illustrates a method 400 for power control of an unmanned aerial vehicle 130 in accordance with an embodiment of the present disclosure.
  • method 400 can be depicted by Figures 1-3
  • the unmanned aerial vehicle 130 is executed.
  • UAV 130 determines its first transmit power 131 and the transmit beamforming gain of UAV 130 to serving base station 110.
  • UAV 130 may determine first transmit power 131 based on an uplink power control method similar to that in an LTE system. For example, UAV 130 may determine first transmit power 131 based on its nominal transmit power P_0 and its path loss PL_s to serving base station 110.
  • the setting of the terminal device transmission power P_tx for uplink transmission in a given subframe can be defined by the following formula [1]:
  • P_tx(i) min(P_max, P_0+10log10(M(i))+a*PL_s+Delta(i)+f(i), [1]
  • PL_s represents the uplink path loss of the terminal equipment to the serving base station , can be calculated by subtracting the reference signal received power of the high-level filtering from the reference signal power; a represents an adjustable scaling factor.
  • the items Delta(i) and the item f(i) are related to the closed-loop power control of the terminal device, and the embodiments of the present disclosure mainly focus on the open-loop power control in the LTE standardized power control scheme, Therefore, the above items are not within the scope of the embodiments of the present disclosure.
  • the multiple physical resource block allocations represented by the item 10log10(M(i)) are ignored, and the expression used by the terminal device to allocate power to each physical resource block PRB can be simplified to the following formula [ 2]:
  • the first transmit power 131 (PSD_tx) of the UAV 130 may be equal to the nominal transmit power P_0 plus the path loss PL_s of the UAV 130 to the serving base station 110 multiplied by the scaling factor a.
  • the power density it receives can be expressed as the following formula [3]:
  • PL_i represents the path loss from the unmanned aerial vehicle 130 to the network device i. If the network device i is the non-serving base station 120, the PSD_rx_i is actually the non-serving base station 120. Interference power. Furthermore, since the terminal device typically uses an omnidirectional antenna in LTE, the beam of the UAV 130 at this time is depicted as a circle 131 in FIGS. 1-3.
  • UAV 130 may determine a transmit beamforming gain based on a receive beamforming gain for serving base station 110. Specifically, the UAV 130 may calculate the downlink signal to interference and noise ratio (DL) by using a downlink non-beamforming/beamforming decoder by receiving a downlink reference signal (eg, a cell reference signal CRS). SINR). Therefore, the unmanned aerial vehicle 130 can obtain the SINR (ie, SINR_NBF) that does not utilize the beamforming receiver and the SINR (ie, SINR_BF) that utilizes the beamforming receiver.
  • SINR_NBF the SINR that does not utilize the beamforming receiver
  • SINR ie, SINR_BF
  • UAV 130 Due to the line-of-sight propagation characteristics that UAV 130 has as an extreme interference with unmanned aerial vehicles, its uplink transmit beam direction is generally similar to its downlink receive beam direction.
  • the uplink transmit beamforming gain of UAV 130 can be derived from its downlink receive beamforming gain (ie, the difference between SINR_BF and SINR_NBF).
  • the unmanned aerial vehicle 130 reduces the first transmit power 131 based on the transmit beamforming gain to obtain the second transmit power 330.
  • UAV 130 is likely to reduce non-serving while maintaining substantially constant transmit power to serving base station 110.
  • the interference power of the base station 120 is discussed above, due to the presence of transmit beamforming gain and directionality using beam 310, UAV 130 is likely to reduce non-serving while maintaining substantially constant transmit power to serving base station 110.
  • the interference power of the base station 120 is discussed above, due to the presence of transmit beamforming gain and directionality using beam 310.
  • the UAV 130 may determine the second transmit power 330 such that at the serving base station 110, the received power 370 in the case of the UAV 130 using the second transmit power 330 and the beam 310 is used with the UAV 130
  • the change between the received powers 170 in the case of the first transmit power 131 is below a predetermined threshold.
  • the predetermined threshold may be pre-set based on specific system requirements and technical scenarios.
  • the received power 370 can be made substantially the same as the received power 170.
  • the unmanned aerial vehicle 130 can determine the second transmit power 330 such that at the non-serving base station 120, the interference power 380 in the case where the unmanned aerial vehicle 130 uses the second transmit power 330 and the beam 310 is less than in the unmanned aerial vehicle 130 The interference power 180 in the case where the first transmission power 131 is used.
  • LTE uplink power control can be enhanced in conjunction with beamforming techniques. Since FD-MIMO technology has been widely used, accurate beamforming can be used on both the network device side and the terminal device side.
  • the above formula [2] can be written as:
  • PSD_tx_new P_0+a*PL_s-b*BF_gain_s,[4]
  • Equation [4] actually represents a reduction in the first transmit power 131 (PSD_tx) of the UAV 130 based on the compensation of the transmit beamforming gain from the UAV 130 to the serving base station 110.
  • the UAV 130 may receive the scaling factor b from the serving base station 110, scale the transmit beamforming gain BF_gain_s with a scaling factor b, and subtract the scaled transmit beam with the first transmit power 131 (PSD_tx).
  • the shaping gain b*BF_gain_s is derived to derive a second transmit power 330 (PSD_tx_new).
  • the scaling factor b may be determined by the higher layer based on the adjustment of the transmit beamforming gain and the difference between the uplink transmit beam and the downlink receive beam.
  • the power density it receives can be expressed as the following formula [5]:
  • PSD_rx_i_new PSD_tx_new+BF_gain(azimuth_angle_i)-PL_i;
  • BF_gain represents the transmit beamforming gain in different directions under the current beam 310 directed to the serving cell 110.
  • UAV 130 transmits a signal to serving base station 110 at a second transmit power 330 using beam 310 associated with the transmit beamforming gain. In this manner, the UAV 130 can reduce the interference power 180 to the non-serving base station 120 to the interference power 380 while the transmit power 170 to the serving base station 110 is substantially maintained at substantially the same transmit power 370.
  • UAV 130 may use beam 310 to transmit a signal at second transmit power 330 in the event that it is determined that it is an "extremely interfering unmanned aerial vehicle" that will generate interference greater than a predetermined interference threshold in the uplink. Otherwise, the first transmit power 131 can be used for transmission. It should be understood that the predetermined interference threshold herein may be preset according to specific design requirements and technical scenarios. In other embodiments, UAV 130 may also perform block 450, block 410, and block 415 in method 400 in sequence after determining that it is "extremely interfering with the unmanned aerial vehicle.”
  • UAV 130 may determine that it is in an excessively interfering state by interference detection in the downlink, such as It is determined that the downlink received signal to noise ratio is below a predetermined threshold. Once the UAV 130 is in an excessively interfering state, it can actively use the uplink interference mitigation method provided by the embodiments of the present disclosure.
  • UAV 130 may determine that UAV 130 is in an excessively interfering state of the downlink by detecting interference in the downlink of serving base station 110 and UAV 130, and based on determining no one The aircraft 130 is in an excessively interfering state of the downlink to determine that the UAV 130 is an extreme interference with the UAV. It should be understood that embodiments of the present disclosure may also employ any other method to determine that the UAV 130 is an "extremely interfering unmanned aerial vehicle.”
  • UAV 130 may also receive a message from serving base station 110 indicating the desired received power of serving base station 110 for UAV 130, and UAV 130 may adjust based on the expected received power. Second Transmit power 330.
  • the uplink open loop power control of the UAV 130 is enhanced by considering the desired received power on the serving base station 110 side.
  • the serving base station 110 may configure the unmanned aerial vehicle 130 with the desired received power instead of applying the same power offset to all of the unmanned aerial vehicles.
  • UAV 130 may calculate its own uplink second transmit power 330, in addition to considering transmit beamforming gain, nominal transmit power P_0, and path from beam 310.
  • the expected received power of the serving base station 110 is also considered, thereby further improving the interference performance of the wireless communication system 300.
  • FIG. 5 shows a system simulation diagram for verifying the effectiveness of an embodiment of the present disclosure.
  • the first scenario includes only terrestrial terminal devices (eg, an average of 15 terrestrial terminal devices per cell), referred to herein as a C1 configuration.
  • the second scenario includes terrestrial terminal equipment (eg, an average of 10 terrestrial terminal devices per cell) and an unmanned aerial vehicle (eg, an average of 5 unmanned aerial vehicles per cell), referred to herein as a C5 configuration.
  • the second scenario is used to estimate the effects of UAV uplink interference and interference mitigation.
  • Line 510 ie, terrestrial terminal device C1 utilizing a conventional ULPC
  • Line 550 ie, land terminal device C5 using conventional ULPC
  • Line 530 ie, Extreme Interference UAV C5 utilizing conventional ULPC
  • the performance of the terrestrial terminal device is rapidly reduced from line 510 to line 550 due to the intervention of the UAV (i.e., line 530).
  • the UAV employs an enhanced ULPC
  • the performance of the terrestrial terminal equipment improves from line 550 to line 520 due to extreme interference with unmanned aerial vehicle UL interference mitigation. Therefore, due to the extreme interference with UAV UL interference mitigation, the loss of both land terminal equipment performance and UAV performance becomes acceptable, ie the terrestrial terminal equipment changes from line 510 to line 520, unmanned aircraft from line 530 Change to line 540.
  • FIG. 6 shows a block diagram of an apparatus 600 suitable for implementing embodiments of the present disclosure.
  • Apparatus 600 can be used, for example, to implement components in unmanned aerial vehicle 130 or unmanned aerial vehicle 130 itself.
  • device 600 includes a controller 610.
  • Controller 610 controls the operation and functionality of device 600.
  • controller 610 can perform various operations with instructions 630 stored in memory 620 coupled thereto.
  • Memory 620 can be of any suitable type suitable for use in a local technology environment and can be implemented using any suitable data storage technology, including but not limited to semiconductor-based memory devices, magnetic memory devices and systems, optical memory devices, and systems. Although only one memory cell is shown in FIG. 6, there may be multiple physically distinct memory cells in device 600.
  • Controller 610 can be of any suitable type suitable for use in a local technology environment and can include, but is not limited to, general purpose computers, special purpose computers, microcontrollers, digital signal controllers (DSPs), and controller-based multi-core controller architectures. One or more multiple.
  • Device 600 can also include a plurality of controllers 610. Controller 610 is coupled to transceiver 640, which can receive and transmit information by means of one or more antennas 650 and/or other components.
  • the controller 610 and the transceiver 640 can operate in conjunction to implement the above with reference to FIG. The method 400 is described. All of the features described above with reference to Figures 1-4 are applicable to device 600 and will not be described again herein.
  • the term “include” and its analogous terms are to be understood as an open-ended, ie, “including but not limited to”.
  • the term “based on” should be understood to mean “based at least in part.”
  • the term “one embodiment” or “an embodiment” should be taken to mean “at least one embodiment.”
  • the term “determining” encompasses a wide variety of actions. For example, “determining” can include computing, computing, processing, deriving, investigating, looking up (eg, looking up in a table, database, or another data structure), ascertaining, and the like. Further, “determining” can include receiving (eg, receiving information), accessing (eg, accessing data in memory), and the like. Further, “determining” may include parsing, selecting, selecting, establishing, and the like.
  • embodiments of the present disclosure may be implemented by hardware, software, or a combination of software and hardware.
  • the hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by a suitable instruction execution system, such as a microprocessor or dedicated design hardware.
  • a suitable instruction execution system such as a microprocessor or dedicated design hardware.
  • processor control code such as in a programmable memory or data carrier such as an optical or electronic signal carrier. Such code.

Abstract

Embodiments of the disclosure provide an unmanned aerial vehicle, and a power control method thereof. The method comprises: determining a first transmission power of an unmanned aerial vehicle, and a transmission beamforming gain between the unmanned aerial vehicle and a serving base station; decreasing the first transmission power on the basis of the transmission beamforming gain to obtain a second transmission power; and utilizing a beam associated with the transmission beamforming gain to transmit a signal to the serving base station at the second transmission power. The embodiments of the disclosure reduce interference caused by an unmanned aerial vehicle without degrading the performance of the unmanned aerial vehicle and a ground terminal apparatus.

Description

无人飞行器及其功率控制的方法Unmanned aerial vehicle and method for power control thereof 技术领域Technical field
本公开的实施例一般地涉及包括无人飞行器的无线通信系统,并且更特别地,涉及用于无人飞行器及其功率控制的方法。Embodiments of the present disclosure generally relate to wireless communication systems including unmanned aerial vehicles, and more particularly, to methods for unmanned aerial vehicles and their power control.
背景技术Background technique
在当前的3GPP协议中,已经批准了关于对无人飞行器的增强支持的新研究项目。该研究项目的目的是研究使用陆地LTE网络的无人飞行器的能力。归因于传播信道的性质,只要无人飞行器相对于网络设备天线的高度飞行在低高度,它就表现得像常规的陆地终端设备。然而,一旦无人飞行器飞行在高于网络设备天线的高度,它将由于视距传播而变得对于多个网络设备是更加可见的,因此它更加易于遭受下行链路中的干扰且同时在上行链路中产生更大的干扰。这种强干扰的无人飞行器通常被称为“极端干扰无人飞行器”。然而,由于无线通信网络对无人飞行器的支持尚处于研究阶段,目前还不存在解决与无人飞行器有关的干扰问题的有效方案。In the current 3GPP protocol, new research projects on enhanced support for unmanned aerial vehicles have been approved. The purpose of the research project is to study the capabilities of unmanned aerial vehicles using terrestrial LTE networks. Due to the nature of the propagation channel, as long as the UAV is flying at a low altitude relative to the height of the network device antenna, it behaves like a conventional land terminal device. However, once the UAV is flying above the height of the network device antenna, it will become more visible to multiple network devices due to line-of-sight propagation, so it is more susceptible to interference in the downlink and simultaneously on the uplink. More interference is generated in the link. Such strong interference unmanned aerial vehicles are often referred to as "extremely interfering unmanned aerial vehicles." However, since the support of unmanned aerial vehicles in wireless communication networks is still in the research stage, there is no effective solution to solve the interference problems related to unmanned aerial vehicles.
发明内容Summary of the invention
本公开的实施例提供了一种无人飞行器及其功率控制方法和一种计算机程序。Embodiments of the present disclosure provide an unmanned aerial vehicle, a power control method thereof, and a computer program.
在本公开的第一方面,提供了一种用于无人飞行器的功率控制的方法。该方法包括:确定无人飞行器的第一发射功率和无人飞行器到服务基站的发射波束赋形增益;基于发射波束赋形增益来降低第一发射功率以获得第二发射功率;以及利用与发射波束赋形增益相关联的波束以第二发射功率向服务基站发射信号。In a first aspect of the present disclosure, a method for power control of an unmanned aerial vehicle is provided. The method includes: determining a first transmit power of the UAV and a transmit beamforming gain of the UAV to the serving base station; reducing the first transmit power to obtain a second transmit power based on the transmit beamforming gain; and utilizing and transmitting The beam associated with the beamforming gain transmits a signal to the serving base station at a second transmit power.
在一些实施例中,该方法可以进一步包括:从服务基站接收消息,该消息指示服务基站针对无人飞行器的期望接收功率;以及基于期望接收功率来调整第二发射功率。 In some embodiments, the method can further include receiving a message from the serving base station indicating the desired received power of the serving base station for the unmanned aerial vehicle; and adjusting the second transmit power based on the expected received power.
在一些实施例中,利用与发射波束赋形增益相关联的波束以第二发射功率向服务基站发射信号可以包括:确定无人飞行器为在上行链路中将产生大于预定干扰阈值的干扰的极端干扰无人飞行器;以及响应于确定无人飞行器为极端干扰无人飞行器,利用与发射波束赋形增益相关联的波束以第二发射功率向服务基站发射信号。In some embodiments, transmitting the signal to the serving base station at the second transmit power using the beam associated with the transmit beamforming gain may include determining that the UAV is the extreme of interference that would produce a greater than a predetermined interference threshold in the uplink. Interfering with the unmanned aerial vehicle; and in response to determining that the unmanned aerial vehicle is an extreme interference unmanned aerial vehicle, transmitting a signal to the serving base station with the second transmit power using a beam associated with the transmit beamforming gain.
在一些实施例中,确定无人飞行器为极端干扰无人飞行器可以包括:通过检测服务基站与无人飞行器的下行链路中的干扰,来确定无人飞行器处于下行链路的过度干扰状态;以及基于确定无人飞行器处于下行链路的过度干扰状态,来确定无人飞行器为极端干扰无人飞行器。In some embodiments, determining that the UAV is an extreme interference unmanned aerial vehicle may include determining that the UAV is in an excessive interference state of the downlink by detecting interference in a downlink of the serving base station and the UAV; The UAV is determined to be an extreme interference with the UAV based on determining that the UAV is in an excessively interfering state of the downlink.
在一些实施例中,确定无人飞行器的第一发射功率可以包括:基于无人飞行器的标称发射功率和无人飞行器到服务基站的路径损耗来确定第一发射功率。In some embodiments, determining the first transmit power of the UAV may include determining the first transmit power based on a nominal transmit power of the UAV and a path loss of the UAV to the serving base station.
在一些实施例中,确定无人飞行器到服务基站的发射波束赋形增益可以包括:基于针对服务基站的接收波束赋形增益来确定发射波束赋形增益。In some embodiments, determining the transmit beamforming gain of the UAV to the serving base station can include determining a transmit beamforming gain based on a receive beamforming gain for the serving base station.
在一些实施例中,该方法可以进一步包括:确定使用针对服务基站的接收波束赋形从服务基站进行接收的第一信干噪比;确定不使用接收波束赋形从服务基站进行接收的第二信干噪比;以及基于第一信干噪比和第二信干噪比确定接收波束赋形增益。In some embodiments, the method may further comprise: determining a first signal to interference and noise ratio received from the serving base station using receive beamforming for the serving base station; determining a second to receive from the serving base station without using receive beamforming a signal to interference and noise ratio; and determining a receive beamforming gain based on the first signal to interference and noise ratio and the second signal to interference and noise ratio.
在一些实施例中,获得第二发射功率可以包括:确定第二发射功率,以使得:在服务基站处,在无人飞行器使用第二发射功率和该波束的情况下的接收功率与在无人飞行器使用第一发射功率的情况下的接收功率之间的改变低于预定阈值,并且在非服务基站处,在无人飞行器使用第二发射功率和该波束的情况下的干扰功率小于在无人飞行器使用第一发射功率的情况下的干扰功率。In some embodiments, obtaining the second transmit power may include determining the second transmit power such that: at the serving base station, the unmanned aircraft uses the second transmit power and the receive power in the case of the beam The change between the received power in the case where the aircraft uses the first transmit power is lower than a predetermined threshold, and at the non-serving base station, the interference power in the case where the unmanned aircraft uses the second transmit power and the beam is smaller than in the unmanned The interference power in the case where the aircraft uses the first transmission power.
在一些实施例中,获得第二发射功率可以包括:从服务基站接收缩放因子;利用缩放因子来缩放发射波束赋形增益;以及利用第一发射功率减去经缩放的发射波束赋形增益来得出第二发射功率。 In some embodiments, obtaining the second transmit power can include: receiving a scaling factor from the serving base station; scaling the transmit beamforming gain with a scaling factor; and deriving the scaled transmit beamforming gain using the first transmit power minus Second transmit power.
在一些实施例中,缩放因子可以由较高层基于对发射波束赋形增益的调节以及上行链路发射波束与下行链路接收波束之间的差异来确定。In some embodiments, the scaling factor may be determined by the higher layer based on the adjustment of the transmit beamforming gain and the difference between the uplink transmit beam and the downlink receive beam.
在本公开的第二方面,提供了一种无人飞行器。该无人飞行器包括至少一个处理器、以及包括计算机程序指令的至少一个存储器。至少一个存储器和计算机程序指令被配置为,与至少一个处理器一起,使得无人飞行器:确定无人飞行器的第一发射功率和无人飞行器到服务基站的发射波束赋形增益;基于发射波束赋形增益来降低第一发射功率以获得第二发射功率;以及利用与发射波束赋形增益相关联的波束以第二发射功率向服务基站发射信号。In a second aspect of the present disclosure, an unmanned aerial vehicle is provided. The UAV includes at least one processor and at least one memory including computer program instructions. At least one memory and computer program instructions are configured, with the at least one processor, to cause the unmanned aircraft to: determine a first transmit power of the unmanned aerial vehicle and a transmit beamforming gain of the unmanned aircraft to the serving base station; Shape gain to reduce the first transmit power to obtain a second transmit power; and transmit a signal to the serving base station at a second transmit power using a beam associated with the transmit beamforming gain.
在一些实施例中,至少一个存储器和计算机程序指令可以进一步被配置为,与至少一个处理器一起,使得无人飞行器:从服务基站接收消息,该消息指示服务基站针对无人飞行器的期望接收功率;以及基于期望接收功率来调整第二发射功率。In some embodiments, the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: receive a message from the serving base station indicating the desired received power of the serving base station for the UAV And adjusting the second transmit power based on the expected received power.
在一些实施例中,至少一个存储器和计算机程序指令可以进一步被配置为,与至少一个处理器一起,使得无人飞行器:确定无人飞行器为在上行链路中将产生大于预定干扰阈值的干扰的极端干扰无人飞行器;以及响应于确定无人飞行器为极端干扰无人飞行器,利用与发射波束赋形增益相关联的波束以第二发射功率向服务基站发射信号。In some embodiments, the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine that the UAV is to generate interference that is greater than a predetermined interference threshold in the uplink. Extremely interfering with the unmanned aerial vehicle; and in response to determining that the unmanned aerial vehicle is an extreme interference unmanned aerial vehicle, transmitting a signal to the serving base station at a second transmit power using a beam associated with the transmit beamforming gain.
在一些实施例中,至少一个存储器和计算机程序指令可以进一步被配置为,与至少一个处理器一起,使得无人飞行器:通过检测服务基站与无人飞行器的下行链路中的干扰,来确定无人飞行器处于下行链路的过度干扰状态;以及基于确定无人飞行器处于下行链路的过度干扰状态,来确定无人飞行器为极端干扰无人飞行器。In some embodiments, the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine by detecting interference in the downlink of the serving base station and the UAV The human aircraft is in an excessively disturbing state of the downlink; and the unmanned aerial vehicle is determined to be an extreme interference with the unmanned aerial vehicle based on determining that the unmanned aerial vehicle is in an excessively disturbing state of the downlink.
在一些实施例中,至少一个存储器和计算机程序指令可以进一步被配置为,与至少一个处理器一起,使得无人飞行器:基于无人飞行器的标称发射功率和无人飞行器到服务基站的路径损耗来确定第一发射功率。 In some embodiments, the at least one memory and computer program instructions can be further configured to, with the at least one processor, cause the UAV to: based on the nominal transmit power of the UAV and the path loss of the UAV to the serving base station To determine the first transmit power.
在一些实施例中,至少一个存储器和计算机程序指令可以进一步被配置为,与至少一个处理器一起,使得无人飞行器:基于针对服务基站的接收波束赋形增益来确定发射波束赋形增益。In some embodiments, the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine a transmit beamforming gain based on a receive beamforming gain for the serving base station.
在一些实施例中,至少一个存储器和计算机程序指令可以进一步被配置为,与至少一个处理器一起,使得无人飞行器:确定使用针对服务基站的接收波束赋形从服务基站进行接收的第一信干噪比;确定不使用接收波束赋形从服务基站进行接收的第二信干噪比;以及基于第一信干噪比和第二信干噪比确定接收波束赋形增益。In some embodiments, the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine to use the first signal received from the serving base station using a receive beamforming for the serving base station a noise to noise ratio; determining a second signal to interference and noise ratio that is received from the serving base station without using receive beamforming; and determining a received beamforming gain based on the first signal to interference and noise ratio and the second signal to interference and noise ratio.
在一些实施例中,至少一个存储器和计算机程序指令可以进一步被配置为,与至少一个处理器一起,使得无人飞行器:确定第二发射功率,以使得:在服务基站处,在无人飞行器使用第二发射功率和该波束的情况下的接收功率与在无人飞行器使用第一发射功率的情况下的接收功率之间的改变低于预定阈值,并且在非服务基站处,在无人飞行器使用第二发射功率和该波束的情况下的干扰功率小于在无人飞行器使用第一发射功率的情况下的干扰功率。In some embodiments, the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: determine the second transmit power such that: at the serving base station, in the UAV The change between the second transmit power and the received power in the case of the beam and the received power in the case where the unmanned aircraft use the first transmit power is below a predetermined threshold, and at the non-serving base station, in the unmanned aerial vehicle The second transmit power and the interference power in the case of the beam are less than the interference power in the case where the unmanned aircraft uses the first transmit power.
在一些实施例中,至少一个存储器和计算机程序指令可以进一步被配置为,与至少一个处理器一起,使得无人飞行器:从服务基站接收缩放因子;利用缩放因子来缩放发射波束赋形增益;以及利用第一发射功率减去经缩放的发射波束赋形增益来得出第二发射功率。In some embodiments, the at least one memory and computer program instructions can be further configured, with the at least one processor, to cause the UAV to: receive a scaling factor from the serving base station; scale the transmit beamforming gain with a scaling factor; The second transmit power is derived using the first transmit power minus the scaled transmit beamforming gain.
在一些实施例中,缩放因子可以由较高层基于对发射波束赋形增益的调节以及上行链路发射波束与下行链路接收波束之间的差异来确定。In some embodiments, the scaling factor may be determined by the higher layer based on the adjustment of the transmit beamforming gain and the difference between the uplink transmit beam and the downlink receive beam.
在本公开的第三方面,提供了一种计算机程序产品。该计算机程序产品被有形地存储在非易失性计算机可读介质上并且包括机器可执行指令。机器可执行指令在被执行时使机器执行根据第一方面的方法的步骤。In a third aspect of the present disclosure, a computer program product is provided. The computer program product is tangibly stored on a non-transitory computer readable medium and includes machine executable instructions. The machine executable instructions, when executed, cause the machine to perform the steps of the method according to the first aspect.
附图说明 DRAWINGS
通过参考附图阅读下文的详细描述,本公开的实施例的上述以及其他目的、特征和优点将变得容易理解。在附图中,以示例性而非限制性的方式示出了本公开的若干实施例,其中:The above and other objects, features and advantages of the embodiments of the present invention will become <RTIgt; In the figures, several embodiments of the present disclosure are shown by way of illustration and not limitation
图1示出了根据本公开的实施例的包括无人飞行器的无线通信系统,其中无人飞行器未使用波束赋形发射信号。1 illustrates a wireless communication system including an unmanned aerial vehicle in which an unmanned aerial vehicle does not use beamforming transmit signals, in accordance with an embodiment of the present disclosure.
图2示出了根据本公开的实施例的包括无人飞行器的无线通信系统,其中无人飞行器使用波束赋形发射信号。2 illustrates a wireless communication system including an unmanned aerial vehicle in which an unmanned aerial vehicle uses beamforming to transmit signals, in accordance with an embodiment of the present disclosure.
图3示出了根据本公开的实施例的包括无人飞行器的无线通信系统,其中无人飞行器在考虑发射波束赋形增益的基础上降低发射功率。3 illustrates a wireless communication system including an unmanned aerial vehicle in which an unmanned aerial vehicle reduces transmit power based on a transmit beamforming gain, in accordance with an embodiment of the present disclosure.
图4示出了根据本公开的实施例的用于无人飞行器的功率控制的方法。FIG. 4 illustrates a method for power control of an unmanned aerial vehicle in accordance with an embodiment of the present disclosure.
图5示出了用于验证本公开的实施例的有效性的系统仿真图。FIG. 5 shows a system simulation diagram for verifying the effectiveness of an embodiment of the present disclosure.
图6示出了一种适合实现本公开的实施例的设备的框图Figure 6 shows a block diagram of a device suitable for implementing an embodiment of the present disclosure.
贯穿所有附图,相同或者相似的参考标号被用来表示相同或者相似的组件。Throughout the drawings, the same or similar reference numerals are used to refer to the same or similar components.
具体实施方式Detailed ways
下面将参考附图中所示出的若干示例性实施例来描述本公开的原理和精神。应当理解,描述这些具体的实施例仅是为了使本领域的技术人员能够更好地理解并实现本公开,而并非以任何方式限制本公开的范围。The principles and spirit of the present disclosure are described below with reference to a few exemplary embodiments illustrated in the drawings. It is to be understood that the specific embodiments are described herein, and are not intended to limit the scope of the disclosure.
如本文所使用的,术语“终端设备”或“终端”指代具有无线通信能力的任何设备,包括但不限于,移动电话、蜂窝电话、智能电话、无人飞行器、个人数字助理(PDA)、便携式计算机、诸如数字相机的图像捕获设备、游戏设备、音乐存储和播放设备、具有无线通信能力的任何便携式单元或终端,或者启用无线互联网接入和浏览的互联网设备等。As used herein, the term "terminal device" or "terminal" refers to any device having wireless communication capabilities, including but not limited to, a mobile phone, a cellular phone, a smart phone, an unmanned aerial vehicle, a personal digital assistant (PDA), Portable computers, image capture devices such as digital cameras, gaming devices, music storage and playback devices, any portable unit or terminal with wireless communication capabilities, or Internet devices that enable wireless Internet access and browsing, and the like.
此外,在本公开的上下文中为了讨论的简便,术语“终端设备” 和“用户设备”能够可互换地被使用。通信系统中的终端设备的示例包括但不限于,移动终端(MT)、订户站(SS)、便携式订户站(PSS)、移动站(MS)、无人飞行器、或接入终端(AT)。Moreover, in the context of the present disclosure, for the sake of simplicity of discussion, the term "terminal device" And "user equipment" can be used interchangeably. Examples of terminal devices in a communication system include, but are not limited to, a mobile terminal (MT), a subscriber station (SS), a portable subscriber station (PSS), a mobile station (MS), an unmanned aerial vehicle, or an access terminal (AT).
如本文所使用的,术语“基站(BS)”、“网络设备”和“网络节点”能够可互换地被使用,它们指代能够提供或主控小区的设备,一个或多个终端可以接入该小区。BS的示例包括,但不限于,节点B(NodeB或NB)、演进型节点B(eNodeB或eNB)、远程无线电单元(RRU)、无线电头端(RH)、远程无线电头端(RRH)、中继、低功率节点,诸如微基站、微微基站和毫微微基站,等等。As used herein, the terms "base station (BS)", "network device" and "network node" are used interchangeably and refer to a device capable of providing or hosting a cell, one or more terminals being connectable Enter the community. Examples of BS include, but are not limited to, Node B (NodeB or NB), evolved Node B (eNodeB or eNB), Remote Radio Unit (RRU), Radio Head (RH), Remote Radio Head (RRH), Medium Successive, low power nodes, such as micro base stations, pico base stations, and femto base stations, and the like.
如上文提到的,由于无线通信网络对无人飞行器的支持尚处于研究阶段,目前还不存在解决与无人飞行器有关的干扰问题的有效方案。已有的一种可能方法是限制无人飞行器的最大发射功率,这可以基于参考信号接收功率和路径损耗阈值等参数来进行。另一种可能的方法是以特定于小区的功率偏移强制无人飞行器降低其发射功率。但是,这些方法存在各自的缺陷和不足,在很多场景下无法满足无线通信系统的性能要求。As mentioned above, since the support of unmanned aerial vehicles in wireless communication networks is still in the research stage, there is currently no effective solution to solve the interference problems associated with unmanned aerial vehicles. One possible approach is to limit the maximum transmit power of the UAV, which can be based on parameters such as reference signal received power and path loss threshold. Another possible approach is to force the UAV to reduce its transmit power with a cell-specific power offset. However, these methods have their own shortcomings and deficiencies, and cannot meet the performance requirements of wireless communication systems in many scenarios.
鉴于关于无人飞行器的功率控制的已有方法的上述或其他问题,本公开的实施例提供了一种用于无人飞行器的功率控制方法和装置,其充分利用了无线通信技术领域中的功率控制机制和波束赋形机制,从而缓解了在无线通信系统中引入无人飞行器所带来的干扰问题。下文首先结合图1-图3来介绍本公开的实施例的功率控制方法的基本原理和思想。In view of the above or other problems with existing methods for power control of unmanned aerial vehicles, embodiments of the present disclosure provide a power control method and apparatus for an unmanned aerial vehicle that fully utilizes power in the field of wireless communication technology The control mechanism and the beamforming mechanism alleviate the interference problem caused by the introduction of the UAV in the wireless communication system. The basic principles and concepts of the power control method of the embodiment of the present disclosure are first described below with reference to FIGS.
图1示出了根据本公开的实施例的包括无人飞行器130的无线通信系统100,其中无人飞行器130未使用波束赋形发射信号。如图1所示,无线通信系统100包括网络设备110和120(例如,eNB)、无人飞行器130、终端设备(例如,用户设备UE)140。在图1示出的场景中,网络110是无人飞行器130的服务基站,网络设备120对于无人飞行器130是非服务基站。网络设备120是终端设备140的服务基站,网络设备110对于终端设备140是非服务基站。 FIG. 1 illustrates a wireless communication system 100 including an unmanned aerial vehicle 130 in which the unmanned aerial vehicle 130 does not use beamforming transmit signals, in accordance with an embodiment of the present disclosure. As shown in FIG. 1, wireless communication system 100 includes network devices 110 and 120 (e.g., eNBs), unmanned aerial vehicles 130, and terminal devices (e.g., user equipment UEs) 140. In the scenario illustrated in FIG. 1, network 110 is a serving base station for UAV 130, and network device 120 is a non-serving base station for UAV 130. The network device 120 is a serving base station of the terminal device 140, and the network device 110 is a non-serving base station for the terminal device 140.
如图1所描绘的,网络设备110具有服务范围111并且网络设备120具有服务范围121。无人飞行器130具有经期望接收功率换算后的期望信号发射强度131(简称:发射范围131)。此外,终端设备140具有信号发射强度141。应当理解,图1未按比例绘制,但是对于无人飞行器130和终端设备140,为了帮助理解,其发射功率可以示意性地使用发射范围来描述。As depicted in FIG. 1, network device 110 has a service range 111 and network device 120 has a service range 121. The unmanned aerial vehicle 130 has a desired signal emission intensity 131 (abbreviation: emission range 131) after being converted by a desired received power. Further, the terminal device 140 has a signal transmission intensity 141. It should be understood that FIG. 1 is not drawn to scale, but for UAV 130 and terminal device 140, to aid understanding, its transmit power can be schematically described using the transmit range.
另外,图1中还描绘了网络设备110与无人飞行器130之间的传输路径150,传输路径150与无人飞行器130的发射范围131的交点170可以示意性地表示无人飞行器130对服务基站110的发射功率170。类似地,图1中描绘了网络设备120与无人飞行器130之间的干扰路径151,干扰路径151与无人飞行器130的发射范围131的交点180可以示意性地表示无人飞行器130对非服务基站120的干扰功率180。如前文所述,随着无人飞行器130的飞行高度升高,无人飞行器130与非服务基站120的干扰路径151很可能不受任何遮挡,从而造成较大的干扰功率180。In addition, a transmission path 150 between the network device 110 and the UAV 130 is also depicted in FIG. 1. The intersection 170 of the transmission path 150 and the transmission range 131 of the UAV 130 may schematically represent the UAV 130 to the serving base station. The transmit power of 110 is 170. Similarly, an interference path 151 between the network device 120 and the unmanned aerial vehicle 130 is depicted in FIG. 1, and the intersection 180 of the interference path 151 and the transmission range 131 of the UAV 130 may schematically represent the unmanned aircraft 130 for non-serving The interference power 180 of the base station 120. As described above, as the flying height of the unmanned aerial vehicle 130 increases, the interference path 151 of the unmanned aerial vehicle 130 and the non-serving base station 120 is likely to be unobstructed, resulting in a large interference power 180.
应当理解,图1中各种设备和范围的大小仅是示意性的,无意以任何方式限制本公开的范围。此外,尽管图1中示意性地示出了无线通信系统100包括仅两个网络设备110和120、一个无人飞行器130、以及一个终端设备140,但是在具体实践中,无线通信系统100可以包括任何数目的网络设备、终端设备和无人飞行器。It is to be understood that the scope of the various embodiments and the scope of Moreover, although it is schematically illustrated in FIG. 1 that the wireless communication system 100 includes only two network devices 110 and 120, one unmanned aerial vehicle 130, and one terminal device 140, in particular practice, the wireless communication system 100 can include Any number of network devices, terminal devices, and unmanned aerial vehicles.
图2示出了根据本公开的实施例的包括无人飞行器130的无线通信系统200,其中无人飞行器130使用波束赋形发射信号。图2中以相同的附图标记描绘了已经参考图1描述过的设备和范围,此处不再赘述。2 illustrates a wireless communication system 200 including an unmanned aerial vehicle 130 in which an unmanned aerial vehicle 130 uses beamforming to transmit signals, in accordance with an embodiment of the present disclosure. The apparatus and scope that have been described with reference to FIG. 1 are depicted in FIG. 2 with the same reference numerals and will not be described again.
如图2所示,在使用了波束赋形的情况下,无人飞行器130不再具有全向的发射范围131,而是具有针对服务基站110的定向发射波束210。定向发射波束210与传输路径150的交点270可以示意性地表示无人飞行器130在使用波束赋形的情况下对服务基站110的发射功率270。类似地,无人飞行器130通常还具有泄漏波束220, 其与定向发射波束210一般具有相反的方向。泄漏波束220与干扰路径151的交点280可以示意性地表示无人飞行器130在使用波束赋形的情况下对非服务基站120的干扰功率280。As shown in FIG. 2, in the case where beamforming is used, the UAV 130 no longer has an omnidirectional transmission range 131, but has a directional transmit beam 210 for the serving base station 110. The intersection 270 of the directional transmit beam 210 and the transmission path 150 may schematically represent the transmit power 270 of the unmanned aerial vehicle 130 to the serving base station 110 using beamforming. Similarly, unmanned aerial vehicle 130 typically also has a leak beam 220, It generally has the opposite direction to the directional transmit beam 210. The intersection 280 of the leak beam 220 with the interference path 151 may schematically represent the interference power 280 of the unmanned aerial vehicle 130 to the non-serving base station 120 using beamforming.
从图2可以看出,在使用了发射波束赋形的情况下,由于存在发射波束赋形增益,无人飞行器130针对服务基站110的发射功率170可以被增大为发射功率270。此外,由于泄漏波束220也是定向波束,作为旁瓣波束220,其通常并不指向非服务基站120,所以无人飞行器130对非服务基站120的干扰功率180可以被减小为干扰功率280。即使旁瓣波束220意外指向服务基站120,它也不会超出作为主瓣波束270。As can be seen from FIG. 2, in the case where transmit beamforming is used, the transmit power 170 of the UAV 130 for the serving base station 110 can be increased to the transmit power 270 due to the presence of the transmit beamforming gain. Moreover, since the leak beam 220 is also a directional beam, as the sidelobe beam 220, which typically does not point to the non-serving base station 120, the interference power 180 of the unmanned aerial vehicle 130 to the non-serving base station 120 can be reduced to the interference power 280. Even if the sidelobe beam 220 is accidentally directed to the serving base station 120, it will not exceed the main lobe beam 270.
应当理解,图2中各种设备和范围的大小仅是示意性的,无意以任何方式限制本公开的范围。此外,尽管图2中示意性地示出了无线通信系统200包括仅两个网络设备110和120、一个无人飞行器130、以及一个终端设备140,但是在具体实践中,无线通信系统200可以包括任何数目的网络设备、终端设备和无人飞行器。It is to be understood that the scope of the various embodiments and the scope of the present disclosure are intended to Moreover, although FIG. 2 schematically illustrates that the wireless communication system 200 includes only two network devices 110 and 120, one unmanned aerial vehicle 130, and one terminal device 140, in particular practice, the wireless communication system 200 can include Any number of network devices, terminal devices, and unmanned aerial vehicles.
此外,本公开的实施例注意到,在无人飞行器130使用波束赋形的基础上在一定程度上降低无人飞行器130的发射功率将会是有利的。在这种情况下,尽管无人飞行器130使用了降低的发射功率,但是由于无人飞行器130具有波束赋形带来的增益,无人飞行器130针对服务基站110的发射功率可以基本上保持在原有未使用波束赋形的水平,即发射功率170。另一方面,在这种情况下,无人飞行器130对非服务基站120的干扰功率280可以进一步被减小,这将会是有利的。下面结合图3来详细描述这种情况。Moreover, embodiments of the present disclosure note that it would be advantageous to reduce the transmit power of the UAV 130 to a certain extent based on the use of beamforming by the UAV 130. In this case, although the unmanned aerial vehicle 130 uses the reduced transmit power, since the unmanned aerial vehicle 130 has the gain due to beamforming, the transmit power of the unmanned aerial vehicle 130 for the serving base station 110 can be substantially maintained. The level of beamforming is not used, ie the transmit power 170. On the other hand, in this case, the interference power 280 of the UAV 130 to the non-serving base station 120 can be further reduced, which would be advantageous. This case will be described in detail below in conjunction with FIG.
图3示出了根据本公开的实施例的包括无人飞行器130的无线通信系统300,其中无人飞行器130在考虑发射波束赋形增益的基础上降低发射功率。图3中以相同的附图标记描绘了已经参考图1和图2描述过的设备和范围,此处不再赘述。3 illustrates a wireless communication system 300 including an unmanned aerial vehicle 130 in which the unmanned aerial vehicle 130 reduces transmit power based on the transmit beamforming gain, in accordance with an embodiment of the present disclosure. The devices and ranges that have been described with reference to FIGS. 1 and 2 are depicted in FIG. 3 with the same reference numerals and will not be described again.
如图3所示,在使用了波束赋形并且降低发射功率(例如,从发射功率131降低至发射功率330)的情况下,无人飞行器130具有 针对服务基站110的定向发射波束310。定向发射波束310与传输路径150的交点370可以示意性地表示无人飞行器130在使用波束赋形并且降低发射功率的情况下对服务基站110的发射功率370。类似地,无人飞行器130具有泄漏波束320,其与定向发射波束310一般具有相反的方向。泄漏波束320与干扰路径151的交点380可以示意性地表示无人飞行器130在使用波束赋形并且降低发射功率的情况下对非服务基站120的干扰功率380。As shown in FIG. 3, in the case where beamforming is used and the transmission power is reduced (eg, from the transmission power 131 to the transmission power 330), the unmanned aerial vehicle 130 has The directional transmit beam 310 is directed to the serving base station 110. The intersection 370 of the directional transmit beam 310 and the transmission path 150 may schematically represent the transmit power 370 of the unmanned aerial vehicle 130 to the serving base station 110 in the case of using beamforming and reducing transmit power. Similarly, UAV 130 has a leak beam 320 that generally has an opposite direction to directional transmit beam 310. The intersection 380 of the leak beam 320 with the interference path 151 may schematically represent the interference power 380 of the unmanned aerial vehicle 120 in the case of using the beamforming and reducing the transmit power.
从图3可以看出,在使用了发射波束赋形并且降低发射功率的情况下,由于存在发射波束赋形增益,无人飞行器130针对服务基站110的发射功率370虽然小于发射功率270,但是可以与未使用波束赋形的情况下的发射功率170基本相同。此外,由于无人飞行器130的发射功率降低,泄漏波束320相比于泄漏波束220变小,并且其不指向非服务基站120,所以无人飞行器130对非服务基站120的干扰功率380可以在干扰功率280的基础上进一步被减小。As can be seen from FIG. 3, in the case where the transmit beamforming is used and the transmit power is reduced, the transmit power 370 for the serving base station 110 is smaller than the transmit power 270, although it is less than the transmit power 270 due to the presence of the transmit beamforming gain. The transmit power 170 is substantially the same as in the case where beamforming is not used. Furthermore, since the transmit power of the unmanned aerial vehicle 130 is reduced, the leakage beam 320 becomes smaller than the leak beam 220, and it does not point to the non-serving base station 120, so the interference power 380 of the unmanned aerial vehicle 130 to the non-serving base station 120 can be interfered. The power 280 is further reduced on the basis of.
此外,从图3可以看出,本公开的实施例可以确保无人飞行器130对非服务基站120的最大干扰不大于使用常规LTE上行链路功率控制方法的。也就是说,图3中的波束320被范围131所覆盖。即使无人飞行器130仅配置有较少数目的天线,本公开的实施例相比于常规的方法也可以极大地减小干扰比或干扰区域。Furthermore, as can be seen from FIG. 3, embodiments of the present disclosure can ensure that the maximum interference of the UAV 130 to the non-serving base station 120 is no greater than that using the conventional LTE uplink power control method. That is, the beam 320 in FIG. 3 is covered by the range 131. Even though the UAV 130 is only configured with a relatively small number of antennas, embodiments of the present disclosure can greatly reduce the interference ratio or interference area as compared to conventional methods.
应当理解,图3中各种设备和范围的大小仅是示意性的,无意以任何方式限制本公开的范围。此外,尽管图3中示意性地示出了无线通信系统200包括仅两个网络设备110和120、一个无人飞行器130、以及一个终端设备140,但是在具体实践中,无线通信系统300可以包括任何数目的网络设备、终端设备和无人飞行器。It is to be understood that the scope of the various embodiments and the scope of the present disclosure are intended to Moreover, although it is schematically illustrated in FIG. 3 that the wireless communication system 200 includes only two network devices 110 and 120, one unmanned aerial vehicle 130, and one terminal device 140, in particular practice, the wireless communication system 300 can include Any number of network devices, terminal devices, and unmanned aerial vehicles.
上文已经结合图1-图3描述了本公开的实施例的基本原理和思想。在此基础上,本公开的实施例提出了一种用于无人飞行器130的功率控制的方法。下文结合图4来详细描述该方法。The basic principles and concepts of the embodiments of the present disclosure have been described above in connection with FIGS. 1-3. On this basis, embodiments of the present disclosure propose a method for power control of unmanned aerial vehicle 130. This method is described in detail below in conjunction with FIG.
图4示出了根据本公开的实施例的用于无人飞行器130的功率控制的方法400。在一些实施例中,方法400可以由图1-图3中描绘 的无人飞行器130来执行。FIG. 4 illustrates a method 400 for power control of an unmanned aerial vehicle 130 in accordance with an embodiment of the present disclosure. In some embodiments, method 400 can be depicted by Figures 1-3 The unmanned aerial vehicle 130 is executed.
如图4所示,在405处,无人飞行器130确定它的第一发射功率131和无人飞行器130到服务基站110的发射波束赋形增益。在一些实施例中,无人飞行器130可以基于类似于LTE系统中的上行链路功率控制方法来确定第一发射功率131。例如,无人飞行器130可以基于它的标称发射功率P_0和它到服务基站110的路径损耗PL_s来确定第一发射功率131。As shown in FIG. 4, at 405, UAV 130 determines its first transmit power 131 and the transmit beamforming gain of UAV 130 to serving base station 110. In some embodiments, UAV 130 may determine first transmit power 131 based on an uplink power control method similar to that in an LTE system. For example, UAV 130 may determine first transmit power 131 based on its nominal transmit power P_0 and its path loss PL_s to serving base station 110.
更具体地,在LTE上行链路功率控制中,在给定子帧中用于上行链路传输的终端设备发射功率P_tx的设置可以通过以下公式[1]来定义:More specifically, in LTE uplink power control, the setting of the terminal device transmission power P_tx for uplink transmission in a given subframe can be defined by the following formula [1]:
P_tx(i)=min(P_max,P_0+10log10(M(i))+a*PL_s+Delta(i)+f(i),[1]其中PL_s表示终端设备到服务基站的上行链路路径损耗,可以通过参考信号功率减去高层过滤的参考信号接收功率来计算;a表示可调整的缩放因子。P_tx(i)=min(P_max, P_0+10log10(M(i))+a*PL_s+Delta(i)+f(i), [1] where PL_s represents the uplink path loss of the terminal equipment to the serving base station , can be calculated by subtracting the reference signal received power of the high-level filtering from the reference signal power; a represents an adjustable scaling factor.
另外,在公式[1]中,项Delta(i)、项f(i)与终端设备的闭环功率控制有关,而本公开的实施例主要关注于LTE标准化功率控制方案中的开环功率控制,因此上述各项不属于本公开的实施例考虑的范围。在忽略了上述闭环项之后,同时忽略项10log10(M(i))所表示的多个物理资源块分配,终端设备使用的向每个物理资源块PRB分配功率的表达式可以简化为以下公式[2]:In addition, in the formula [1], the items Delta(i) and the item f(i) are related to the closed-loop power control of the terminal device, and the embodiments of the present disclosure mainly focus on the open-loop power control in the LTE standardized power control scheme, Therefore, the above items are not within the scope of the embodiments of the present disclosure. After ignoring the above closed-loop term, the multiple physical resource block allocations represented by the item 10log10(M(i)) are ignored, and the expression used by the terminal device to allocate power to each physical resource block PRB can be simplified to the following formula [ 2]:
PSD_tx=P_0+a*PL_s,[2]PSD_tx=P_0+a*PL_s,[2]
也就是说,无人飞行器130的第一发射功率131(PSD_tx)可以等于标称发射功率P_0加上无人飞行器130到服务基站110的路径损耗PL_s乘以缩放因子a。That is, the first transmit power 131 (PSD_tx) of the UAV 130 may be equal to the nominal transmit power P_0 plus the path loss PL_s of the UAV 130 to the serving base station 110 multiplied by the scaling factor a.
在这种情况下,对于网络设备i,它所接收到的功率密度可以表达为以下的公式[3]:In this case, for network device i, the power density it receives can be expressed as the following formula [3]:
PSD_rx_i=PSD_tx-PL_i=P_0+a*PL_s-PL_i,[3]PSD_rx_i=PSD_tx-PL_i=P_0+a*PL_s-PL_i,[3]
其中PL_i表示从无人飞行器130到网络设备i的路径损耗。如果网络设备i是非服务基站120,则PSD_rx_i实际上是对非服务基站120 的干扰功率。此外,由于在LTE中,终端设备通常使用全向的天线,所以此时无人飞行器130的波束在图1至图3中被描绘为圆形131。Where PL_i represents the path loss from the unmanned aerial vehicle 130 to the network device i. If the network device i is the non-serving base station 120, the PSD_rx_i is actually the non-serving base station 120. Interference power. Furthermore, since the terminal device typically uses an omnidirectional antenna in LTE, the beam of the UAV 130 at this time is depicted as a circle 131 in FIGS. 1-3.
此外,在一些实施例中,无人飞行器130可以基于针对服务基站110的接收波束赋形增益来确定发射波束赋形增益。具体地,无人飞行器130可以通过接收下行链路参考信号(例如,小区参考信号CRS)而采用下行链路的非波束赋形/波束赋形解码器来计算下行链路信干噪比(DL SINR)。因此,无人飞行器130可以获得不利用波束赋形接收器的SINR(即,SINR_NBF)和利用波束赋形接收器的SINR(即,SINR_BF)。Moreover, in some embodiments, UAV 130 may determine a transmit beamforming gain based on a receive beamforming gain for serving base station 110. Specifically, the UAV 130 may calculate the downlink signal to interference and noise ratio (DL) by using a downlink non-beamforming/beamforming decoder by receiving a downlink reference signal (eg, a cell reference signal CRS). SINR). Therefore, the unmanned aerial vehicle 130 can obtain the SINR (ie, SINR_NBF) that does not utilize the beamforming receiver and the SINR (ie, SINR_BF) that utilizes the beamforming receiver.
归因于无人飞行器130作为极端干扰无人飞行器时具有的视距传播特征,它的上行链路发射波束方向通常类似于它的下行链路接收波束方向。因此,无人飞行器130的上行链路发射波束赋形增益可以从它的下行链路接收波束赋形增益(即,SINR_BF与SINR_NBF之间的差异)来得到。Due to the line-of-sight propagation characteristics that UAV 130 has as an extreme interference with unmanned aerial vehicles, its uplink transmit beam direction is generally similar to its downlink receive beam direction. Thus, the uplink transmit beamforming gain of UAV 130 can be derived from its downlink receive beamforming gain (ie, the difference between SINR_BF and SINR_NBF).
继续参考图4,在410处,无人飞行器130基于发射波束赋形增益来降低第一发射功率131以获得第二发射功率330。如上文所讨论的,由于存在使用波束310带来的发射波束赋形增益和定向性,无人飞行器130有可能在保持对服务基站110的发射功率基本不变的情况下,同时降低对非服务基站120的干扰功率。With continued reference to FIG. 4, at 410, the unmanned aerial vehicle 130 reduces the first transmit power 131 based on the transmit beamforming gain to obtain the second transmit power 330. As discussed above, due to the presence of transmit beamforming gain and directionality using beam 310, UAV 130 is likely to reduce non-serving while maintaining substantially constant transmit power to serving base station 110. The interference power of the base station 120.
因此,无人飞行器130可以确定第二发射功率330以使得:在服务基站110处,在无人飞行器130使用第二发射功率330和波束310的情况下的接收功率370与在无人飞行器130使用第一发射功率131的情况下的接收功率170之间的改变低于预定阈值。在一些实施例中,该预定阈值可以基于具体的系统要求和技术场景来预先设置。在一些实施例中,可以使得接收功率370与接收功率170基本相同。Accordingly, the UAV 130 may determine the second transmit power 330 such that at the serving base station 110, the received power 370 in the case of the UAV 130 using the second transmit power 330 and the beam 310 is used with the UAV 130 The change between the received powers 170 in the case of the first transmit power 131 is below a predetermined threshold. In some embodiments, the predetermined threshold may be pre-set based on specific system requirements and technical scenarios. In some embodiments, the received power 370 can be made substantially the same as the received power 170.
此外,无人飞行器130可以确定第二发射功率330以使得:在非服务基站120处,在无人飞行器130使用第二发射功率330和波束310的情况下的干扰功率380小于在无人飞行器130使用第一发射功率131的情况下的干扰功率180。 Moreover, the unmanned aerial vehicle 130 can determine the second transmit power 330 such that at the non-serving base station 120, the interference power 380 in the case where the unmanned aerial vehicle 130 uses the second transmit power 330 and the beam 310 is less than in the unmanned aerial vehicle 130 The interference power 180 in the case where the first transmission power 131 is used.
换句话说,在结合波束赋形技术的情况下可以增强LTE上行链路功率控制。鉴于FD-MIMO技术已经广泛使用,网络设备侧和终端设备侧都可以使用精确的波束赋形。在考虑了从无人飞行器130到服务基站110的发射波束赋形增益的情况下,上文的公式[2]可以写为:In other words, LTE uplink power control can be enhanced in conjunction with beamforming techniques. Since FD-MIMO technology has been widely used, accurate beamforming can be used on both the network device side and the terminal device side. In the case where the transmit beamforming gain from the unmanned aerial vehicle 130 to the serving base station 110 is considered, the above formula [2] can be written as:
PSD_tx_new=P_0+a*PL_s-b*BF_gain_s,[4]PSD_tx_new=P_0+a*PL_s-b*BF_gain_s,[4]
其中BF_gain_s表示使用波束赋形带来的发射波束赋形增益,b为可调整的缩放因子。如上文指出的,公式[4]实际上表示基于从无人飞行器130到服务基站110的发射波束赋形增益的补偿,可以将减小无人飞行器130的第一发射功率131(PSD_tx)降低到第二发射功率330(PSD_tx_new)。Where BF_gain_s represents the transmit beamforming gain from beamforming and b is an adjustable scaling factor. As indicated above, Equation [4] actually represents a reduction in the first transmit power 131 (PSD_tx) of the UAV 130 based on the compensation of the transmit beamforming gain from the UAV 130 to the serving base station 110. The second transmit power 330 (PSD_tx_new).
在一些实施例中,无人飞行器130可以从服务基站110接收缩放因子b,利用缩放因子b来缩放发射波束赋形增益BF_gain_s,以及利用第一发射功率131(PSD_tx)减去经缩放的发射波束赋形增益b*BF_gain_s来得出第二发射功率330(PSD_tx_new)。在一些实施例中,缩放因子b可以由较高层基于对发射波束赋形增益的调节以及上行链路发射波束与下行链路接收波束之间的差异来确定。In some embodiments, the UAV 130 may receive the scaling factor b from the serving base station 110, scale the transmit beamforming gain BF_gain_s with a scaling factor b, and subtract the scaled transmit beam with the first transmit power 131 (PSD_tx). The shaping gain b*BF_gain_s is derived to derive a second transmit power 330 (PSD_tx_new). In some embodiments, the scaling factor b may be determined by the higher layer based on the adjustment of the transmit beamforming gain and the difference between the uplink transmit beam and the downlink receive beam.
在这种情况下,对于网络设备i,它所接收到的功率密度可以表达为以下的公式[5]:In this case, for network device i, the power density it receives can be expressed as the following formula [5]:
PSD_rx_i_new=PSD_tx_new+BF_gain(azimuth_angle_i)-PL_i;PSD_rx_i_new=PSD_tx_new+BF_gain(azimuth_angle_i)-PL_i;
=P_0+a*PL_s-b*BF_gain_s+BF_gain(azimuth_angle_i)-PL_i;=P_0+a*PL_s-b*BF_gain_s+BF_gain(azimuth_angle_i)-PL_i;
=P_0+a*PL_s-PL_i-b*BF_gain_s+BF_gain(azimuth_angle_i);=P_0+a*PL_s-PL_i-b*BF_gain_s+BF_gain(azimuth_angle_i);
=PSD_rx_i+(BF_gain(azimuth_angle_i)-b*BF_gain_s),[5]=PSD_rx_i+(BF_gain(azimuth_angle_i)-b*BF_gain_s),[5]
其中BF_gain表示在指向服务小区110的当前波束310下在不同方向上的发射波束赋形增益。Where BF_gain represents the transmit beamforming gain in different directions under the current beam 310 directed to the serving cell 110.
从公式[5]可以看出,如果i等于s,则有BF_gain(azimuth_angle_s)=BF_gain_s,否则BF_gain(azimuth_angle_i)<=BF_gain_s。这意味着,使用缩放因子b和基于波束方向的发射波束赋形增益,可以确保非服务小区120的干扰功率大为减小,而服务基站110的接收功 率基本上不变。即,如果i不等于s,则PSD_rx_i_new<<PSD_rx_i,如果i等于s,则PSD_rx_i_new接近于PSD_rx_i。It can be seen from the formula [5] that if i is equal to s, there is BF_gain(azimuth_angle_s)=BF_gain_s, otherwise BF_gain(azimuth_angle_i)<=BF_gain_s. This means that using the scaling factor b and the beam direction based beamforming gain, it is ensured that the interference power of the non-serving cell 120 is greatly reduced, while the receiving power of the serving base station 110 is reduced. The rate is basically unchanged. That is, if i is not equal to s, then PSD_rx_i_new<<PSD_rx_i, if i is equal to s, PSD_rx_i_new is close to PSD_rx_i.
继续参考图4,在415处,无人飞行器130利用与发射波束赋形增益相关联的波束310以第二发射功率330向服务基站110发射信号。通过这样的方式,无人飞行器130可以在将对服务基站110的发射功率170基本保持在大致相同的发射功率370的情况下,将对非服务基站120的干扰功率180降低到干扰功率380。With continued reference to FIG. 4, at 415, UAV 130 transmits a signal to serving base station 110 at a second transmit power 330 using beam 310 associated with the transmit beamforming gain. In this manner, the UAV 130 can reduce the interference power 180 to the non-serving base station 120 to the interference power 380 while the transmit power 170 to the serving base station 110 is substantially maintained at substantially the same transmit power 370.
在一些实施例中,无人飞行器130可以在确定自己是在上行链路中将产生大于预定干扰阈值的干扰的“极端干扰无人飞行器”的情况下使用波束310以第二发射功率330发射信号,否则可以使用第一发射功率131进行发射。应当理解,此处的预定干扰阈值可以根据具体的设计要求和技术场景来预先设置。在其他实施例中,无人飞行器130也可以在确定自己是“极端干扰无人飞行器”之后依次执行方法400中的框450、框410和框415。In some embodiments, UAV 130 may use beam 310 to transmit a signal at second transmit power 330 in the event that it is determined that it is an "extremely interfering unmanned aerial vehicle" that will generate interference greater than a predetermined interference threshold in the uplink. Otherwise, the first transmit power 131 can be used for transmission. It should be understood that the predetermined interference threshold herein may be preset according to specific design requirements and technical scenarios. In other embodiments, UAV 130 may also perform block 450, block 410, and block 415 in method 400 in sequence after determining that it is "extremely interfering with the unmanned aerial vehicle."
在一些实施例中,考虑到无人飞行器130通常具有上行链路与下行链路极端干扰共存的特性,无人飞行器130可以通过下行链路中的干扰检测来确定自己处于过度干扰的状态,例如确定下行链路接收信噪比低于预先设定的阈值。一旦无人飞行器130处于过度干扰的状态,它就可以主动使用本公开的实施例提供的上行链路的干扰减缓方法。In some embodiments, considering that UAV 130 typically has the characteristics of uplink and downlink extreme interference coexistence, UAV 130 may determine that it is in an excessively interfering state by interference detection in the downlink, such as It is determined that the downlink received signal to noise ratio is below a predetermined threshold. Once the UAV 130 is in an excessively interfering state, it can actively use the uplink interference mitigation method provided by the embodiments of the present disclosure.
因此,在这些实施例中,无人飞行器130可以通过检测服务基站110与无人飞行器130的下行链路中的干扰来确定无人飞行器130处于下行链路的过度干扰状态,并且基于确定无人飞行器130处于下行链路的过度干扰状态,来确定无人飞行器130为极端干扰无人飞行器。应当理解,本公开的实施例也可以采用其他任何方法来确定无人飞行器130为“极端干扰无人飞行器”。Thus, in these embodiments, UAV 130 may determine that UAV 130 is in an excessively interfering state of the downlink by detecting interference in the downlink of serving base station 110 and UAV 130, and based on determining no one The aircraft 130 is in an excessively interfering state of the downlink to determine that the UAV 130 is an extreme interference with the UAV. It should be understood that embodiments of the present disclosure may also employ any other method to determine that the UAV 130 is an "extremely interfering unmanned aerial vehicle."
此外,在一些实施例中,无人飞行器130还可以从服务基站110接收消息,该消息指示服务基站110针对无人飞行器130的期望接收功率,并且无人飞行器130可以基于该期望接收功率来调整第二 发射功率330。Moreover, in some embodiments, UAV 130 may also receive a message from serving base station 110 indicating the desired received power of serving base station 110 for UAV 130, and UAV 130 may adjust based on the expected received power. Second Transmit power 330.
在这样的实施例中,通过考虑在服务基站110侧的期望接收功率来增强无人飞行器130的上行链路开环功率控制。如上文提到的,在已有的方法中,通常关注于对无人飞行器130设置特定于小区的阈值,或者对小区内所有的无人飞行器施加相同的功率偏移,即对所有的无人飞行器降低相同的发射功率。这些方式没有考虑到每个无人飞行器的不同干扰强度。In such an embodiment, the uplink open loop power control of the UAV 130 is enhanced by considering the desired received power on the serving base station 110 side. As mentioned above, in prior methods, it is generally of interest to set a cell-specific threshold for the UAV 130 or to apply the same power offset to all UAVs in the cell, ie for all unmanned The aircraft reduces the same transmit power. These methods do not take into account the different interference intensities of each UAV.
为了进一步控制无人飞行器130对相邻小区的干扰,在本公开的实施例中,服务基站110可以为无人飞行器130配置期望接收功率以替代对所有无人飞行器施加相同的功率偏移。因此,在本公开的实施例中,无人飞行器130可以在计算自己的上行链路第二发射功率330时,除了考虑到波束310带来的发射波束赋形增益、标称发射功率P_0和路径损耗PL_s之外,还考虑到服务基站110的期望接收功率,从而进一步改进了无线通信系统300的干扰性能。To further control the interference of the unmanned aerial vehicle 130 to neighboring cells, in an embodiment of the present disclosure, the serving base station 110 may configure the unmanned aerial vehicle 130 with the desired received power instead of applying the same power offset to all of the unmanned aerial vehicles. Thus, in an embodiment of the present disclosure, UAV 130 may calculate its own uplink second transmit power 330, in addition to considering transmit beamforming gain, nominal transmit power P_0, and path from beam 310. In addition to the loss PL_s, the expected received power of the serving base station 110 is also considered, thereby further improving the interference performance of the wireless communication system 300.
图5示出了用于验证本公开的实施例的有效性的系统仿真图。在该仿真中,考虑到在无人飞行器处部署天线的复杂性,假定在无人飞行器处具有四个均匀分布的双极化的线性发射天线,并且在网络设备侧具有两个双极化的接收天线。此外,考虑以下两种场景。第一种场景仅包括陆地终端设备(例如,每个小区平均15个陆地终端设备),此处称为C1配置。第二种场景包括陆地终端设备(例如,每个小区平均10个陆地终端设备)和无人飞行器(例如,每个小区平均5个无人飞行器),此处称为C5配置。以第一种场景作为基线场景,第二场景被用来估计无人飞行器上行链路干扰和干扰减缓的效果。FIG. 5 shows a system simulation diagram for verifying the effectiveness of an embodiment of the present disclosure. In this simulation, considering the complexity of deploying an antenna at an unmanned aerial vehicle, it is assumed that there are four uniformly distributed dual-polarized linear transmit antennas at the unmanned aerial vehicle and two dual-polarized at the network equipment side. Receive antenna. In addition, consider the following two scenarios. The first scenario includes only terrestrial terminal devices (eg, an average of 15 terrestrial terminal devices per cell), referred to herein as a C1 configuration. The second scenario includes terrestrial terminal equipment (eg, an average of 10 terrestrial terminal devices per cell) and an unmanned aerial vehicle (eg, an average of 5 unmanned aerial vehicles per cell), referred to herein as a C5 configuration. Using the first scenario as the baseline scenario, the second scenario is used to estimate the effects of UAV uplink interference and interference mitigation.
参考图5,其示出了根据本公开的实施例的利用发射波束赋形增益来补偿减小的发射功率的上行链路功率控制方法的性能。线510(即,利用常规ULPC的陆地终端设备C1)是在C1配置中基于常规ULPC的陆地终端设备的UL SINR累积分布函数(CDF)分布。线550(即,利用常规ULPC的陆地终端设备C5)是在C5配置中基 于常规ULPC的陆地终端设备的UL SINR CDF分布。线530(即,利用常规ULPC的极端干扰无人飞行器C5)是在C5配置中基于常规ULPC的无人飞行器的UL SINR CDF分布。Referring to FIG. 5, there is shown performance of an uplink power control method that utilizes transmit beamforming gain to compensate for reduced transmit power, in accordance with an embodiment of the present disclosure. Line 510 (ie, terrestrial terminal device C1 utilizing a conventional ULPC) is a UL SINR cumulative distribution function (CDF) distribution of a terrestrial terminal device based on a conventional ULPC in a C1 configuration. Line 550 (ie, land terminal device C5 using conventional ULPC) is based in the C5 configuration UL SINR CDF distribution for terrestrial terminal equipment of conventional ULPC. Line 530 (ie, Extreme Interference UAV C5 utilizing conventional ULPC) is the UL SINR CDF distribution of a conventional ULPC based unmanned aerial vehicle in a C5 configuration.
从图5可以看出,由于无人飞行器的介入(即,线530),陆地终端设备的性能从线510快速地降低到线550。在采用了本公开的实施例(即,无人飞行器采用增强的ULPC)之后,由于极端干扰无人飞行器UL干扰减缓,陆地终端设备的性能从线550改进到线520。因此,归因于极端干扰无人飞行器UL干扰减缓,陆地终端设备性能和无人飞行器性能两者的损失变为可接受,即陆地终端设备从510线改变到线520,无人飞行器从线530改变到线540。As can be seen from Figure 5, the performance of the terrestrial terminal device is rapidly reduced from line 510 to line 550 due to the intervention of the UAV (i.e., line 530). After employing embodiments of the present disclosure (i.e., the UAV employs an enhanced ULPC), the performance of the terrestrial terminal equipment improves from line 550 to line 520 due to extreme interference with unmanned aerial vehicle UL interference mitigation. Therefore, due to the extreme interference with UAV UL interference mitigation, the loss of both land terminal equipment performance and UAV performance becomes acceptable, ie the terrestrial terminal equipment changes from line 510 to line 520, unmanned aircraft from line 530 Change to line 540.
图6示出了一种适合实现本公开的实施例的设备600的框图。设备600可以用来例如实现无人飞行器130中的组件或者无人飞行器130本身。FIG. 6 shows a block diagram of an apparatus 600 suitable for implementing embodiments of the present disclosure. Apparatus 600 can be used, for example, to implement components in unmanned aerial vehicle 130 or unmanned aerial vehicle 130 itself.
如图6中所示出的,设备600包括控制器610。控制器610控制设备600的操作和功能。例如,在某些实施例中,控制器610可以借助于与其耦合的存储器620中所存储的指令630来执行各种操作。存储器620可以是适用于本地技术环境的任何合适的类型,并且可以利用任何合适的数据存储技术来实现,包括但不限于基于半导体的存储器件、磁存储器件和系统、光存储器件和系统。尽管图6中仅示出了一个存储器单元,但是在设备600中可以存在多个物理不同的存储器单元。As shown in FIG. 6, device 600 includes a controller 610. Controller 610 controls the operation and functionality of device 600. For example, in some embodiments, controller 610 can perform various operations with instructions 630 stored in memory 620 coupled thereto. Memory 620 can be of any suitable type suitable for use in a local technology environment and can be implemented using any suitable data storage technology, including but not limited to semiconductor-based memory devices, magnetic memory devices and systems, optical memory devices, and systems. Although only one memory cell is shown in FIG. 6, there may be multiple physically distinct memory cells in device 600.
控制器610可以是适用于本地技术环境的任何合适的类型,并且可以包括但不限于通用计算机、专用计算机、微控制器、数字信号控制器(DSP)以及基于控制器的多核控制器架构中的一个或多个多个。设备600也可以包括多个控制器610。控制器610与收发器640耦合,收发器640可以借助于一个或多个天线650和/或其他部件来实现信息的接收和发送。 Controller 610 can be of any suitable type suitable for use in a local technology environment and can include, but is not limited to, general purpose computers, special purpose computers, microcontrollers, digital signal controllers (DSPs), and controller-based multi-core controller architectures. One or more multiple. Device 600 can also include a plurality of controllers 610. Controller 610 is coupled to transceiver 640, which can receive and transmit information by means of one or more antennas 650 and/or other components.
在一些实施例中,当设备600作为无人飞行器130或其中的组件时,控制器610和收发器640可以配合操作,以实现上文参考图4 所描述的方法400。上文参考图1-图4所描述的所有特征均适用于设备600,此处不再赘述。In some embodiments, when the device 600 acts as an unmanned aerial vehicle 130 or a component therein, the controller 610 and the transceiver 640 can operate in conjunction to implement the above with reference to FIG. The method 400 is described. All of the features described above with reference to Figures 1-4 are applicable to device 600 and will not be described again herein.
如本文所使用的,术语“包括”及其类似用语应当理解为开放性包含,即“包括但不限于”。术语“基于”应当理解为“至少部分地基于”。术语“一个实施例”或“该实施例”应当理解为“至少一个实施例”。如本文所使用的,术语“确定”涵盖各种各样的动作。例如,“确定”可以包括运算、计算、处理、导出、调查、查找(例如,在表格、数据库或另一数据结构中查找)、查明等。此外,“确定”可以包括接收(例如,接收信息)、访问(例如,访问存储器中的数据)等。此外,“确定”可以包括解析、选择、选取、建立等。As used herein, the term "include" and its analogous terms are to be understood as an open-ended, ie, "including but not limited to". The term "based on" should be understood to mean "based at least in part." The term "one embodiment" or "an embodiment" should be taken to mean "at least one embodiment." As used herein, the term "determining" encompasses a wide variety of actions. For example, "determining" can include computing, computing, processing, deriving, investigating, looking up (eg, looking up in a table, database, or another data structure), ascertaining, and the like. Further, "determining" can include receiving (eg, receiving information), accessing (eg, accessing data in memory), and the like. Further, "determining" may include parsing, selecting, selecting, establishing, and the like.
应当注意,本公开的实施例可以通过硬件、软件或者软件和硬件的结合来实现。硬件部分可以利用专用逻辑来实现;软件部分可以存储在存储器中,由适当的指令执行系统,例如微处理器或者专用设计硬件来执行。本领域的技术人员可以理解上述的设备和方法可以使用计算机可执行指令和/或包含在处理器控制代码中来实现,例如在可编程的存储器或者诸如光学或电子信号载体的数据载体上提供了这样的代码。It should be noted that embodiments of the present disclosure may be implemented by hardware, software, or a combination of software and hardware. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by a suitable instruction execution system, such as a microprocessor or dedicated design hardware. Those skilled in the art will appreciate that the apparatus and methods described above can be implemented using computer-executable instructions and/or embodied in processor control code, such as in a programmable memory or data carrier such as an optical or electronic signal carrier. Such code.
此外,尽管在附图中以特定顺序描述了本公开的方法的操作,但是这并非要求或者暗示必须按照该特定顺序来执行这些操作,或是必须执行全部所示的操作才能实现期望的结果。相反,流程图中描绘的步骤可以改变执行顺序。附加地或备选地,可以省略某些步骤,将多个步骤组合为一个步骤执行,和/或将一个步骤分解为多个步骤执行。还应当注意,根据本公开的两个或更多装置的特征和功能可以在一个装置中具体化。反之,上文描述的一个装置的特征和功能可以进一步划分为由多个装置来具体化。In addition, although the operations of the methods of the present disclosure are described in a particular order in the drawings, this is not a requirement or implied that the operations must be performed in the particular order, or all of the illustrated operations must be performed to achieve the desired results. Instead, the steps depicted in the flowcharts can change the order of execution. Additionally or alternatively, certain steps may be omitted, the multiple steps being combined into one step, and/or one step being broken into multiple steps. It should also be noted that features and functions of two or more devices in accordance with the present disclosure may be embodied in one device. Conversely, the features and functions of one of the devices described above can be further divided into multiple devices.
虽然已经参考若干具体实施例描述了本公开,但是应当理解,本公开不限于所公开的具体实施例。本公开旨在涵盖所附权利要求的精神和范围内所包括的各种修改和等效布置。 While the disclosure has been described with reference to a particular embodiment, it is understood that the disclosure is not limited to the specific embodiments disclosed. The present disclosure is intended to cover various modifications and equivalents

Claims (21)

  1. 一种用于无人飞行器的功率控制的方法,包括:A method for power control of an unmanned aerial vehicle, comprising:
    确定所述无人飞行器的第一发射功率和所述无人飞行器到服务基站的发射波束赋形增益;Determining a first transmit power of the UAV and a transmit beamforming gain of the UAV to a serving base station;
    基于所述发射波束赋形增益来降低所述第一发射功率以获得第二发射功率;以及Reducing the first transmit power to obtain a second transmit power based on the transmit beamforming gain;
    利用与所述发射波束赋形增益相关联的波束以所述第二发射功率向所述服务基站发射信号。A signal associated with the transmit beamforming gain is used to transmit a signal to the serving base station at the second transmit power.
  2. 根据权利要求1所述的方法,进一步包括:The method of claim 1 further comprising:
    从所述服务基站接收消息,所述消息指示所述服务基站针对所述无人飞行器的期望接收功率;以及Receiving, from the serving base station, a message indicating a desired received power of the serving base station for the UAV;
    基于所述期望接收功率来调整所述第二发射功率。The second transmit power is adjusted based on the expected received power.
  3. 根据权利要求1所述的方法,其中利用与所述发射波束赋形增益相关联的波束以所述第二发射功率向所述服务基站发射信号包括:The method of claim 1 wherein transmitting a signal to the serving base station at the second transmit power using a beam associated with the transmit beamforming gain comprises:
    确定所述无人飞行器为在上行链路中将产生大于预定干扰阈值的干扰的极端干扰无人飞行器;以及Determining that the UAV is an extreme interference unmanned aerial vehicle that will generate interference greater than a predetermined interference threshold in the uplink;
    响应于确定所述无人飞行器为极端干扰无人飞行器,利用与所述发射波束赋形增益相关联的波束以所述第二发射功率向所述服务基站发射信号。In response to determining that the UAV is an extreme interference unmanned aerial vehicle, a signal associated with the transmit beamforming gain is used to transmit a signal to the serving base station at the second transmit power.
  4. 根据权利要求3所述的方法,其中确定所述无人飞行器为极端干扰无人飞行器包括:The method of claim 3 wherein determining that the UAV is an extreme interference unmanned aerial vehicle comprises:
    通过检测所述服务基站与所述无人飞行器的下行链路中的干扰,来确定所述无人飞行器处于下行链路的过度干扰状态;以及Determining that the UAV is in an excessive interference state of the downlink by detecting interference in the downlink of the serving base station and the UAV;
    基于确定所述无人飞行器处于下行链路的过度干扰状态,来确定所述无人飞行器为极端干扰无人飞行器。The UAV is determined to be an extreme interference unmanned aerial vehicle based on determining that the UAV is in an excessively disturbing state of the downlink.
  5. 根据权利要求1所述的方法,其中确定所述无人飞行器的第一发射功率包括: The method of claim 1 wherein determining the first transmit power of the UAV comprises:
    基于所述无人飞行器的标称发射功率和所述无人飞行器到所述服务基站的路径损耗来确定所述第一发射功率。The first transmit power is determined based on a nominal transmit power of the UAV and a path loss of the UAV to the serving base station.
  6. 根据权利要求1所述的方法,其中确定所述无人飞行器到所述服务基站的发射波束赋形增益包括:The method of claim 1 wherein determining a transmit beamforming gain of the UAV to the serving base station comprises:
    基于针对所述服务基站的接收波束赋形增益来确定所述发射波束赋形增益。The transmit beamforming gain is determined based on a receive beamforming gain for the serving base station.
  7. 根据权利要求6所述的方法,进一步包括:The method of claim 6 further comprising:
    确定使用针对所述服务基站的接收波束赋形从所述服务基站进行接收的第一信干噪比;Determining a first signal to interference and noise ratio received from the serving base station using receive beamforming for the serving base station;
    确定不使用所述接收波束赋形从所述服务基站进行接收的第二信干噪比;以及Determining a second signal to interference and noise ratio that is received from the serving base station without using the receive beamforming; and
    基于所述第一信干噪比和所述第二信干噪比确定所述接收波束赋形增益。The receive beamforming gain is determined based on the first signal to interference and noise ratio and the second signal to interference and noise ratio.
  8. 根据权利要求1所述的方法,其中获得所述第二发射功率包括:The method of claim 1 wherein obtaining the second transmit power comprises:
    确定所述第二发射功率,以使得:Determining the second transmit power to:
    在所述服务基站处,在所述无人飞行器使用所述第二发射功率和所述波束的情况下的接收功率与在所述无人飞行器使用第一发射功率的情况下的接收功率之间的改变低于预定阈值,并且At the serving base station, between the received power in the case where the UAV uses the second transmit power and the beam and the received power in the case where the UAV uses the first transmit power Change is below a predetermined threshold, and
    在非服务基站处,在所述无人飞行器使用所述第二发射功率和所述波束的情况下的干扰功率小于在所述无人飞行器使用第一发射功率的情况下的干扰功率。At the non-serving base station, the interference power in the case where the unmanned aerial vehicle uses the second transmission power and the beam is less than the interference power in the case where the unmanned aerial vehicle uses the first transmission power.
  9. 根据权利要求1所述的方法,其中获得所述第二发射功率包括:The method of claim 1 wherein obtaining the second transmit power comprises:
    从所述服务基站接收缩放因子;Receiving a scaling factor from the serving base station;
    利用所述缩放因子来缩放所述发射波束赋形增益;以及Using the scaling factor to scale the transmit beamforming gain;
    利用所述第一发射功率减去经缩放的所述发射波束赋形增益来得出所述第二发射功率。The second transmit power is derived using the first transmit power minus the scaled transmit beamforming gain.
  10. 根据权利要求9所述的方法,其中所述缩放因子由较高层 基于对所述波束赋形增益的调节以及上行链路发射波束与下行链路接收波束之间的差异来确定。The method of claim 9 wherein said scaling factor is by a higher layer The determination is based on the adjustment of the beamforming gain and the difference between the uplink transmit beam and the downlink receive beam.
  11. 一种无人飞行器,包括:An unmanned aerial vehicle comprising:
    至少一个处理器;以及At least one processor;
    包括计算机程序指令的至少一个存储器,所述至少一个存储器和所述计算机程序指令被配置为,与所述至少一个处理器一起,使得所述无人飞行器:At least one memory including computer program instructions, the at least one memory and the computer program instructions being configured, with the at least one processor, to cause the unmanned aerial vehicle to:
    确定所述无人飞行器的第一发射功率和所述无人飞行器到服务基站的发射波束赋形增益;Determining a first transmit power of the UAV and a transmit beamforming gain of the UAV to a serving base station;
    基于所述波束赋形增益来降低所述第一发射功率以获得第二发射功率;以及Decreasing the first transmit power to obtain a second transmit power based on the beamforming gain;
    利用与所述发射波束赋形增益相关联的波束以所述第二发射功率向所述服务基站发射信号。A signal associated with the transmit beamforming gain is used to transmit a signal to the serving base station at the second transmit power.
  12. 根据权利要求11所述的无人飞行器,其中所述至少一个存储器和所述计算机程序指令进一步被配置为,与所述至少一个处理器一起,使得所述无人飞行器:The UAV of claim 11 wherein said at least one memory and said computer program instructions are further configured to, with said at least one processor, cause said UAV to:
    从所述服务基站接收消息,所述消息指示所述服务基站针对所述无人飞行器的期望接收功率;以及Receiving, from the serving base station, a message indicating a desired received power of the serving base station for the UAV;
    基于所述期望接收功率来调整所述第二发射功率。The second transmit power is adjusted based on the expected received power.
  13. 根据权利要求11所述的无人飞行器,其中所述至少一个存储器和所述计算机程序指令进一步被配置为,与所述至少一个处理器一起,使得所述无人飞行器:The UAV of claim 11 wherein said at least one memory and said computer program instructions are further configured to, with said at least one processor, cause said UAV to:
    确定所述无人飞行器为在上行链路中将产生大于预定干扰阈值的干扰的极端干扰无人飞行器;以及Determining that the UAV is an extreme interference unmanned aerial vehicle that will generate interference greater than a predetermined interference threshold in the uplink;
    响应于确定所述无人飞行器为极端干扰无人飞行器,利用与所述发射波束赋形增益相关联的波束以所述第二发射功率向所述服务基站发射信号。In response to determining that the UAV is an extreme interference unmanned aerial vehicle, a signal associated with the transmit beamforming gain is used to transmit a signal to the serving base station at the second transmit power.
  14. 根据权利要求13所述的无人飞行器,其中所述至少一个存储器和所述计算机程序指令进一步被配置为,与所述至少一个处理 器一起,使得所述无人飞行器:The UAV of claim 13 wherein said at least one memory and said computer program instructions are further configured to interact with said at least one Together, the unmanned aerial vehicle is made:
    通过检测所述服务基站与所述无人飞行器的下行链路中的干扰,来确定所述无人飞行器处于下行链路的过度干扰状态;以及Determining that the UAV is in an excessive interference state of the downlink by detecting interference in the downlink of the serving base station and the UAV;
    基于确定所述无人飞行器处于下行链路的过度干扰状态,来确定所述无人飞行器为极端干扰无人飞行器。The UAV is determined to be an extreme interference unmanned aerial vehicle based on determining that the UAV is in an excessively disturbing state of the downlink.
  15. 根据权利要求11所述的无人飞行器,其中所述至少一个存储器和所述计算机程序指令进一步被配置为,与所述至少一个处理器一起,使得所述无人飞行器:The UAV of claim 11 wherein said at least one memory and said computer program instructions are further configured to, with said at least one processor, cause said UAV to:
    基于所述无人飞行器的标称发射功率和所述无人飞行器到所述服务基站的路径损耗来确定所述第一发射功率。The first transmit power is determined based on a nominal transmit power of the UAV and a path loss of the UAV to the serving base station.
  16. 根据权利要求11所述的无人飞行器,其中所述至少一个存储器和所述计算机程序指令进一步被配置为,与所述至少一个处理器一起,使得所述无人飞行器:The UAV of claim 11 wherein said at least one memory and said computer program instructions are further configured to, with said at least one processor, cause said UAV to:
    基于针对所述服务基站的接收波束赋形增益来确定所述发射波束赋形增益。The transmit beamforming gain is determined based on a receive beamforming gain for the serving base station.
  17. 根据权利要求16所述的无人飞行器,其中所述至少一个存储器和所述计算机程序指令进一步被配置为,与所述至少一个处理器一起,使得所述无人飞行器:The UAV of claim 16 wherein said at least one memory and said computer program instructions are further configured to, with said at least one processor, cause said UAV to:
    确定使用针对所述服务基站的接收波束赋形从所述服务基站进行接收的第一信干噪比;Determining a first signal to interference and noise ratio received from the serving base station using receive beamforming for the serving base station;
    确定不使用所述接收波束赋形从所述服务基站进行接收的第二信干噪比;以及Determining a second signal to interference and noise ratio that is received from the serving base station without using the receive beamforming; and
    基于所述第一信干噪比和所述第二信干噪比确定所述接收波束赋形增益。The receive beamforming gain is determined based on the first signal to interference and noise ratio and the second signal to interference and noise ratio.
  18. 根据权利要求11所述的无人飞行器,其中所述至少一个存储器和所述计算机程序指令进一步被配置为,与所述至少一个处理器一起,使得所述无人飞行器:The UAV of claim 11 wherein said at least one memory and said computer program instructions are further configured to, with said at least one processor, cause said UAV to:
    确定所述第二发射功率,以使得:Determining the second transmit power to:
    在所述服务基站处,在所述无人飞行器使用所述第二发射 功率和所述波束的情况下的接收功率与在所述无人飞行器使用第一发射功率的情况下的接收功率之间的改变低于预定阈值,并且At the serving base station, using the second launch at the UAV The change between the power and the received power in the case of the beam and the received power in the case where the UAV uses the first transmit power is below a predetermined threshold, and
    在非服务基站处,在所述无人飞行器使用所述第二发射功率和所述波束的情况下的干扰功率小于在所述无人飞行器使用第一发射功率的情况下的干扰功率。At the non-serving base station, the interference power in the case where the unmanned aerial vehicle uses the second transmission power and the beam is less than the interference power in the case where the unmanned aerial vehicle uses the first transmission power.
  19. 根据权利要求11所述的无人飞行器,其中所述至少一个存储器和所述计算机程序指令进一步被配置为,与所述至少一个处理器一起,使得所述无人飞行器:The UAV of claim 11 wherein said at least one memory and said computer program instructions are further configured to, with said at least one processor, cause said UAV to:
    从所述服务基站接收缩放因子;Receiving a scaling factor from the serving base station;
    利用所述缩放因子来缩放所述发射波束赋形增益;以及Using the scaling factor to scale the transmit beamforming gain;
    利用所述第一发射功率减去经缩放的所述发射波束赋形增益来得出所述第二发射功率。The second transmit power is derived using the first transmit power minus the scaled transmit beamforming gain.
  20. 根据权利要求19所述的无人飞行器,其中所述缩放因子由较高层基于对所述发射波束赋形增益的调节以及上行链路发射波束与下行链路接收波束之间的差异来确定。The UAV according to claim 19, wherein said scaling factor is determined by a higher layer based on an adjustment of said transmit beamforming gain and a difference between an uplink transmit beam and a downlink receive beam.
  21. 一种计算机程序产品,所述计算机程序产品被有形地存储在非易失性计算机可读介质上并且包括机器可执行指令,所述机器可执行指令在被执行时使机器执行根据权利要求1-10中任一项所述的方法的步骤。 A computer program product tangibly stored on a non-transitory computer readable medium and comprising machine executable instructions that, when executed, cause the machine to perform according to claim 1 The method of any of the methods of any of 10.
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CN115362753B (en) * 2020-04-04 2023-09-26 Oppo广东移动通信有限公司 Control method of transmitting signal, network equipment, terminal and storage medium
CN113595603A (en) * 2021-07-05 2021-11-02 东莞理工学院 Unmanned aerial vehicle millimeter wave beam forming design method based on partially connected antenna array

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