Abstract:
The present disclosure provides a method and device in a node for wireless communications. A first node receives a first signaling; and operates a first signal group. The first signaling is used for determining a first reference-signal-resource set; a first parameter-group set comprises a positive integer number of parameter group(s), any parameter group in the first parameter-group set is used for the operating action of a signal in the first signal group; any reference signal resource in the first reference-signal-resource set is used for determining a parameter group in the first parameter-group set. The above method unifies beam management mechanisms for both Uplink and Downlink, which improves performance of Uplink transmission and reduces corresponding signaling overhead and delay.
Abstract:
The present disclosure provides a method and a device in a node used for wireless communications. A first node receives a first signaling; and transmits a first signal. The first signaling indicates scheduling information for the first signal; a linear value of transmit power for the first signal is equal to a product of a linear value of a second power and a first coefficient; the first signaling is used to determine a first reference signal resource and a first matrix; the first reference signal resource belongs to a first reference signal resource set of S reference signal resource sets; S matrix sets respectively correspond to the S reference signal resource sets. The above method optimizes the transmit power on each panel in the multi-panel-based uplink transmission.
Abstract:
The present disclosure provides a method and device in a node used for wireless communications. A first node receives a first signaling; and transmits a first signal; the first signaling is used for determining configuration information of the first signal; the first signaling is used for determining a first information unit, the first information unit comprises a first field, the first field in the first information unit indicates a first reference-signal resource, and the first reference-signal resource is used for determining a spatial-domain filter of the first signal; a first power control parameter group is used for determining transmission power of the first signal. The above method unifies Uplink beam management mechanism and Downlink beam management mechanism, and solves the power control problem of Uplink transmission under a unified beam management mechanism.
Abstract:
A method and a device in a node for wireless communications. A first node monitors or drops monitoring a first signal in a first resource block; and transmits a second signal in a second resource block. The second resource block corresponds to a first index; the first resource block is reserved for a HARQ-ACK for a bit block set transmitted in a third resource block; when a first condition set is fulfilled, a spatial relation of the second signal is unrelated to the first index; when the first condition set is unfulfilled, the first index is used for determining the spatial relation of the second signal; the first condition set relates to whether the first signal is conveyed in the first resource block. The method above provides an easy implementation of beamforming in a V2X system, which optimizes gains of beamforming and also prevents complicated signaling interaction.
Abstract:
The present disclosure provides method and device in a User Equipment (UE) and a base station used for wireless communication. The UE receives a first signaling and a second signaling; and transmits first reporting information in a target time-frequency resource. The first signaling and the second signaling are respectively used to determine a first antenna port group and a second antenna port group; a first antenna port group and a second antenna port group are respectively applicable to a first time-frequency resource and a second time-frequency resource; at least one of the following is used to determine the target time-frequency resource from the first time-frequency resource and the second time-frequency resource: the first antenna port group, the second antenna port group. When uplink data and control information for different TRPs conflict in time domain, the above method guarantees the reception quality of the two and avoids an extra delay.
Abstract:
The disclosure provides a method and a device in a User Equipment (UE) and a base station for wireless communication. The UE receives first information, receives a first signaling and transmits a first radio signal. The first information is used for determining a first air interface resource and a second air interface resource, and the first signaling includes scheduling information of the first radio signal; in instances in which the first radio signal is related to the first air interface resource, the scheduling information of the first radio signal is codebook-based; in instances in which the first radio signal is related to the second air interface resource, the scheduling information of the first radio signal is non-codebook-based. The above method has following benefits: when multiple TRPs serve one UE simultaneously, each TRP can select an optimal precoding mode depending on its own actual condition.
Abstract:
The present disclosure provides a method and a device in a User Equipment (UE) and a base station used for wireless communications. The UE receives first information; determines first sub-information out of the M piece(s) of sub-information; receives a first radio signal in a first time-frequency resource set; the first information comprises the M piece(s) of sub-information, each of the M piece(s) of sub-information indicates a reference signal group, and a reference signal group comprises at least one reference signal. The first sub-information indicates a first reference signal group. A reference signal in a reference signal group indicated by at least one of the M piece(s) of sub-information is transmitted by a first serving cell, and the first serving cell is not added by the UE. The above method not only obtains performance advancement brought by serving cell handover, but also avoid time delay and service interrupt.
Abstract:
The invention provides two kinds of new compressive sensing technologies. In the first technical solution, there is proposed a permutation-based multi-dimensional sensing matrix and an iterative recovery algorithm with maximum likelihood (ML) local detection, which can fully exploit the digital nature of sparse signals. In the second technical solution, there is proposed a sparse measurement matrix which contains a permutation-based multi-dimensional measurement matrix, and an iterative recovery algorithm which fully utilizes the features of measurement symbols to design simple local recovery in each iteration. The second technical solution can achieve the linear decoding complexity and lower bound of sketch length empirically at the same time.
Abstract:
A method for selecting antenna elements at a base station can include selecting multiple transmit antenna elements from several antenna elements according to a work mode of the base station. The work mode can be an open-loop or a closed-loop working mode. In open-loop mode the base station does not receive feedback information regarding channel quality from a mobile station. In closed-loop mode feedback information is received. For example, for control signaling, or when the speed of a mobile station is very high, the base station may determine that the working mode is open-loop. When the information being transmitted is data for a specific mobile station and the mobile station is moving at a speed under a threshold, the base station may select or determine the working mode to be the closed-loop working mode. Antenna elements are selected, for example, according to a spatial correlation appropriate to the work mode.
Abstract:
The invention provides two kinds of new compressive sensing technologies. In the first technical solution, there is proposed a permutation-based multi-dimensional sensing matrix and an iterative recovery algorithm with maximum likelihood (ML) local detection, which can fully exploit the digital nature of sparse signals. In the second technical solution, there is proposed a sparse measurement matrix which contains a permutation-based multi-dimensional measurement matrix, and an iterative recovery algorithm which fully utilizes the features of measurement symbols to design simple local recovery in each iteration. The second technical solution can achieve the linear decoding complexity and lower bound of sketch length empirically at the same time.