Multi-port DL Receiver UE Capability
US-2025167840-A1 · May 22, 2025 · US
US12490203B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12490203-B2 |
| Application number | US-202118006794-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 3, 2021 |
| Priority date | Aug 14, 2020 |
| Publication date | Dec 2, 2025 |
| Grant date | Dec 2, 2025 |
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A method and network node configured to perform wireless network virtualization to allocate resources of an infrastructure provider (InP) among a plurality of service providers (SPs) are provided. According to one aspect, a method in a network node includes, in each of a plurality of successive time slots in a time interval, T: receiving precoding feedback information from each SP, allocating a virtual transmit power to each cell served by an SP based at least in part on the received precoding feedback information and determining a precoding matrix for each SP. The method also includes minimizing a loss function based at least in part on the received precoding feedback information received in multiple previous time slots.
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What is claimed is: 1 . A method in a network node for wireless network virtualization to allocate resources of an infrastructure provider, InP, among a plurality of service providers, SPs, each SP serving at least one cell, each SP further serving a respective set of wireless devices, WDs, the method comprising: in each of a plurality of successive time slots in a time interval, T: receiving precoding feedback information from each SP of the plurality of SPs, the precoding feedback information from an SP including a precoding demand from the SP, the feedback information being based at least in part on RF channels between one or more base stations of the SP and corresponding WDs; allocating a virtual transmit power to each cell served by an SP, each allocation of a virtual transmit power allocated to a cell of an SP being based at least in part on the received precoding feedback information from the plurality of SPs and at least one constraint on interference; and determining a precoding matrix for each SP of the plurality of SPs to meet each of the plurality of received precoding demands subject to the at least one constraint, the determining including: minimizing a loss function based at least in part on the received precoding feedback information received in multiple previous time slots. 2 . The method of claim 1 , wherein minimizing a loss function includes finding a set of precoding matrices, one for each SP of the plurality of SPs, that minimizes a function of a gradient of the precoding feedback information. 3 . The method of claim 2 , wherein the loss function includes a virtual queue sequence used as a backlog queue of long-term constraint violations where an upper bound on the virtual queue is transformed into an upper bound on the long-term constraint violation. 4 . The method of claim 2 , wherein the loss function includes: 2 Re { tr { [ ∇ V t - τ * f t - τ ( V t - τ ) ] H ( V - V t - τ ) } } + α V - V t - τ F 2 + [ Q t - 1 + g t - τ - 1 ( V t - 1 ) ] T g t - τ ( V ) + η V - V t - 1 F 2 where ∇ V t - τ * f t - τ ( V t - τ ) is the feedback from a plurality of SPs at time t−τ, V t−τ is the precoding matrix for a plurality of SPs, Q t−1 is the virtual queue sequence value at time t−1, g t−τ−1 (V t−1 ) is a constraint at time
using SIR [Signal to Interference Ratio] or other wireless path parameters · CPC title
Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems · CPC title
Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting · CPC title
of other parameters, e.g. DC offset, delay or propagation times · CPC title
taking into account interferences · CPC title
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