A wireless communication device includes an antenna array with multiple antenna elements, an array of power amplifiers, and an array of phase shifters. Each antenna element is coupled to a power amplifier and a phase shifter. The device also includes transmitter circuitry coupled to the antenna array to encode a constant amplitude signal, which includes a power amplifier enable code to indicate which power amplifiers are to run in a subsequent data sample and a beam direction code to control beam direction of each phase shifter of the array of phase shifters in the subsequent data sample. The constant amplitude signal is then provided to the array of antenna elements and amplitude and phase modulation is combined over an air interface into a composite modulated signal.

Embodiments described herein provide for the granular network-based detection of UE location in a RAN that includes one or more mobile base stations using quantum computing. Mobile base stations may be, for example, affixed on vehicles (e.g., cars, trucks, drones, etc.), may be implemented by other UEs, and/or may otherwise be non-stationary. In contrast, fixed base stations may be mounted to towers, buildings, or other types of permanent or semi-permanent installations. Quantum computing techniques, as described herein, may aid in the precise determination of UE location using triangulation techniques and/or other network-based location techniques. Further, in RANs that include mobile base stations, the locations of both the UE and a reference point may change relatively rapidly. The use of quantum computing, as described herein, may aid in the fast and precise determination of UE location in situations where mobile base stations and/or UEs are moving rapidly.

Embodiments described herein provide for the granular network-based detection of UE location in a RAN that includes one or more mobile base stations using quantum computing. Mobile base stations may be, for example, affixed on vehicles (e.g., cars, trucks, drones, etc.), may be implemented by other UEs, and/or may otherwise be non-stationary. In contrast, fixed base stations may be mounted to towers, buildings, or other types of permanent or semi-permanent installations. Quantum computing techniques, as described herein, may aid in the precise determination of UE location using triangulation techniques and/or other network-based location techniques. Further, in RANs that include mobile base stations, the locations of both the UE and a reference point may change relatively rapidly. The use of quantum computing, as described herein, may aid in the fast and precise determination of UE location in situations where mobile base stations and/or UEs are moving rapidly.

Methods and apparatus for orthogonal stream spatial multiplexing. In one embodiment, a method includes splitting and modulating a data stream into n MIMO RF spatial streams and coupling them to corresponding switchable polarization antenna elements controlled via orthogonal binary codes for transmission. Each transmitted stream manifests as time-varying-polarization-orthogonal to the other n−1 spatial streams. The method includes reception of the streams at their destination using corresponding antenna elements controlled by the same set of orthogonal codes. Thus, each of the n transmitted spatial streams is polarization-match-filtered, unambiguously separated and individually recovered from all the others upon reception for subsequent demodulation and MIMO spatial recombination into the original data stream. Thus, n MIMO spatial streams emanating from a common source and featuring equal amplitude and bandwidth but bearing distinct data and exhibiting mutually orthogonal time varying polarization will propagate mutually interference-free on the same frequency channel to a single destination.

Methods and apparatus for orthogonal stream spatial multiplexing. In one embodiment, a method includes splitting and modulating a data stream into n MIMO RF spatial streams and coupling them to corresponding switchable polarization antenna elements controlled via orthogonal binary codes for transmission. Each transmitted stream manifests as time-varying-polarization-orthogonal to the other n−1 spatial streams. The method includes reception of the streams at their destination using corresponding antenna elements controlled by the same set of orthogonal codes. Thus, each of the n transmitted spatial streams is polarization-match-filtered, unambiguously separated and individually recovered from all the others upon reception for subsequent demodulation and MIMO spatial recombination into the original data stream. Thus, n MIMO spatial streams emanating from a common source and featuring equal amplitude and bandwidth but bearing distinct data and exhibiting mutually orthogonal time varying polarization will propagate mutually interference-free on the same frequency channel to a single destination.

Embodiments described herein provide for the granular network-based detection of UE location in a RAN that includes one or more mobile base stations using quantum computing. Mobile base stations may be, for example, affixed on vehicles (e.g., cars, trucks, drones, etc.), may be implemented by other UEs, and/or may otherwise be non-stationary. In contrast, fixed base stations may be mounted to towers, buildings, or other types of permanent or semi-permanent installations. Quantum computing techniques, as described herein, may aid in the precise determination of UE location using triangulation techniques and/or other network-based location techniques. Further, in RANs that include mobile base stations, the locations of both the UE and a reference point may change relatively rapidly. The use of quantum computing, as described herein, may aid in the fast and precise determination of UE location in situations where mobile base stations and/or UEs are moving rapidly.

Embodiments described herein provide for the granular network-based detection of UE location in a RAN that includes one or more mobile base stations using quantum computing. Mobile base stations may be, for example, affixed on vehicles (e.g., cars, trucks, drones, etc.), may be implemented by other UEs, and/or may otherwise be non-stationary. In contrast, fixed base stations may be mounted to towers, buildings, or other types of permanent or semi-permanent installations. Quantum computing techniques, as described herein, may aid in the precise determination of UE location using triangulation techniques and/or other network-based location techniques. Further, in RANs that include mobile base stations, the locations of both the UE and a reference point may change relatively rapidly. The use of quantum computing, as described herein, may aid in the fast and precise determination of UE location in situations where mobile base stations and/or UEs are moving rapidly.

A first unmanned aerial vehicle (UAV) test cell may be positioned at a first position and a second UAV test cell may be positioned at a second position. The first position and the second position may be designated as a pair of unbroken link positions in response to a line-of-sight (LOS) wireless communication link being unblocked between the first UAV test cell and the second UAV test cell. Otherwise, the first position and the second position may be designated as a pair of broken link positions in response to the LOS wireless communication link being blocked between the first UAV test cell and the second UAV test cell.

A first unmanned aerial vehicle (UAV) test cell may be positioned at a first position and a second UAV test cell may be positioned at a second position. The first position and the second position may be designated as a pair of unbroken link positions in response to a line-of-sight (LOS) wireless communication link being unblocked between the first UAV test cell and the second UAV test cell. Otherwise, the first position and the second position may be designated as a pair of broken link positions in response to the LOS wireless communication link being blocked between the first UAV test cell and the second UAV test cell.

Methods and apparatus for orthogonal stream spatial multiplexing. In one embodiment, a method includes splitting and modulating a data stream into n MIMO RF spatial streams and coupling them to corresponding switchable polarization antenna elements controlled via orthogonal binary codes for transmission. Each transmitted stream manifests as time-varying-polarization-orthogonal to the other n1 spatial streams. The method includes reception of the streams at their destination using corresponding antenna elements controlled by the same set of orthogonal codes. Thus, each of the n transmitted spatial streams is polarization-match-filtered, unambiguously separated and individually recovered from all the others upon reception for subsequent demodulation and MIMO spatial recombination into the original data stream. Thus, n MIMO spatial streams emanating from a common source and featuring equal amplitude and bandwidth but bearing distinct data and exhibiting mutually orthogonal time varying polarization will propagate mutually interference-free on the same frequency channel to a single destination.