Abstract: A system deploys electronic countermeasures against unmanned aerial vehicles (UAVs) that are determined to be a threat. A radio transceiver coupled to at least one antenna detects if radio signals are being communicated between a remote control unit and a UAV. A mitigation engine communicatively coupled to the radio transceiver synthesizes an exploit signal to be transmitted to the UAV, wherein the exploit signal is configured to inject commands into the UAV's navigation system. If the system determines that the UAV is operating in an autopilot mode, it transmits an induce-mode signal that causes the UAVs to switch to a communication mode so the UAV is responsive to the exploit signal.

Abstract: In a multiuser (MU) multiple antenna system (MAS), a subspace processor is communicatively coupled to a plurality of geographically distributed transceivers by a network. The subspace processor multiplies a plurality of data symbols in each bin of an invertible transform with spatial-processing weights to produce weighted data symbols, which are transmitted from a plurality of geographically distributed transmitters to a plurality of receivers. The spatial-processing weights are generated from channel state information in the MU-MAS to cause a desired signal to be reinforced and at least one undesired signal to be suppressed at each of the plurality of receivers.

Abstract: An OFDM transmitter spreads original data symbols with a complex-valued spreading matrix derived from a discrete Fourier transform. Spread data symbols are mapped to OFDM subcarriers. Spreading and mapping are configured to produce a transmitted spread-OFDM signal with a low peak-to-average power ratio (PAPR) and orthogonal code spaces. In MIMO systems, the complex-valued spreading matrix can comprise a MIMO precoding matrix, and the code spaces can comprise MIMO subspaces. In Cooperative-MIMO, a combination of low code-space cross correlation and low PAPR can be achieved.

Abstract: In a coordinated multipoint system, geographically distributed base transceiver stations employ overlapping coverage areas in a Radio Access Network (RAN) to serve multiple User Equipments (UEs). A fronthaul network communicatively couples the base transceiver stations to a central processor. The central processor comprises a cooperative multiple-input, multiple-output (MIMO) processor configured to select multiple antennas residing on multiple ones of the base transceiver stations to receive transmissions from each of the UEs; collect RAN signals from the base transceiver stations; compute baseband spatial demultiplexing weights for signals from RAN channel state information; and combine weighted RAN signals to exploit multipath in the RAN to separate the received UE transmissions.

Abstract: A wireless client device in a wireless network listens to transmissions from other wireless client devices to determine a local wireless network topology of wireless client devices, and transmits the local wireless network topology to a server in a content delivery network. The wireless client device transmits a request for content to the server and receives a message from the server via the wireless network, the message indicating at least one source wireless client device in the local wireless network topology that contains the content. The wireless client device can transmit a request for the content to the at least one source wireless client device. The wireless client device receives the content from the at least one source wireless client device via a peer-to-peer link in the wireless network.

Abstract: An Unmanned Aerial Vehicle (UAV) comprises a situational awareness system coupled to at least one onboard sensor and senses the location of other UAVs. A cooperative Radio Access Network (RAN)-signal processor is configured to process RAN signals cooperatively with at least one other UAV to produce RAN performance criteria. A flight controller provides autonomous navigation control of the UAV's flight based on the relative spatial locations of other UAVs and the RAN performance criteria, which operates within predetermined boundaries of navigation criteria. The UAV can employ mitigation tactics against one or more radio devices identified as a threat and may coordinate other UAVs to conduct such mitigations.

Abstract: Systems, methods, and apparatuses for synthesizing a wireless communication signal are provided. A base expanded matrix is generated, wherein a sum of values in each row of the base expanded matrix produces a base signal vector. Values in at least one column of the base expanded matrix are updated to produce an updated expanded matrix. The values in each row of the updated expanded matrix are summed to produce an updated signal vector. The updated signal vector is transmitted over a wireless channel.

Abstract: Low-complexity computational processing provides a set of selective mapping weights for reducing peak-to-average-power ratio (PAPR) in transmitted Multiple Input, Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) signals. A MIMO precoder and invertible transform generates a base discrete-time MIMO-OFDM signal from a set of data symbols and MIMO precoding weights. A matrix multiplier multiplies the set of data symbols with a sparse update weight matrix, and the resulting product is MIMO-precoded and modulated onto an OFDM signal to produce a discrete-time update signal. A linear combiner sums the discrete-time update signal and the base discrete-time MIMO-OFDM signal to produce an updated discrete-time MIMO-OFDM signal from which the PAPR can be measured.

Abstract: A wireless user equipment (UE) device obtains uplink and/or downlink grants for control and data communications from a base station in a first network and configures a secondary network link for device-to-device (D2D) communications between the UE device and another UE device operating in a second network. The secondary network link employs a spectrum resource allocated for the uplink and/or downlink grants in the first network. The UE device can comprise a first-network controller that inserts first-network control signals into a control portion of a frame, an application-layer processor that inserts user data into a data payload portion of the frame, and a second-network controller communicatively coupled to the application-layer processor that inserts second-network control signals into the data payload portion of the frame. This can allow a transmission to be processed by networks that employ different radio access network technologies.

Abstract: Low-complexity computational processing provides a set of selective mapping weights for reducing peak-to-average-power ratio (PAPR) in transmitted Multiple Input, Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) signals. A MIMO precoder and invertible transform generates a base discrete-time MIMO-OFDM signal from a set of data symbols and MIMO precoding weights. A matrix multiplier multiplies the set of data symbols with a sparse update weight matrix, and the resulting product is MIMO-precoded and modulated onto an OFDM signal to produce a discrete-time update signal. A linear combiner sums the discrete-time update signal and the base discrete-time MIMO-OFDM signal to produce an updated discrete-time MIMO-OFDM signal from which the PAPR can be measured.

Abstract: An unmanned aerial vehicle (UAV) uses a first baseband processor to establish a first communication link with a ground network cell and a second baseband processor that establishes a second communication link with a user device. The second baseband processor is communicatively coupled to the first baseband processor such that the user device exchanges communication data with the core network via the first communication link and the second communication link. Flight-control hardware steers the UAV along a flight trajectory that is determined by a ground-based UAV controller based at least on a geolocation of the user device. The second baseband processor establishes the second communication link with the user device while the first baseband processor maintains the first communication link with the ground network cell.

Abstract: In a coordinated multipoint system, geographically distributed base transceiver stations employ overlapping coverage areas in a Radio Access Network (RAN) to serve multiple User Equipments (UEs). A fronthaul network communicatively couples the base transceiver stations to a central processor. The central processor comprises a cooperative multiple-input, multiple-output (MIMO) processor configured to select multiple antennas residing on multiple ones of the base transceiver stations to serve each of the UEs; compute baseband pre-coding weights for signals to be transmitted by the antennas, the baseband pre-coding weights computed from RAN channel state information between the antennas and the UEs; and coordinate transmissions of pre-coded signals from the antennas to exploit multipath in the RAN to coherently combine at each of the UEs. Since each UE can be provided with its own localized coherence zone, this enables the UEs to concurrently employ the same frequency spectrum.

Abstract: A server selects edge-server sets to deliver data to client devices. To rapidly find an optimal or near-optimal edge-server set, the server constructs a trellis having a number of states at least equal to the number of edge servers to be included in an edge-server set. Each state comprises a plurality of nodes, wherein each node corresponds to one of the plurality of candidate edge servers. A trellis-exploration algorithm selects the edge-server set by providing interconnects between each node of a first state to each of a plurality of nodes in a next state, and for each node in a state, selecting a path corresponding to a best performance metric that connects to a node in a previous state. Each performance metric comprises network topology information, which can include channel measurements from candidate edge servers. When the edge-server set is selected, the server distributes content to the edge servers, which is then transmitted to the client devices.

Abstract: Applications of CI processing to ad-hoc and peer-to-peer networking significantly improve throughput, network capacity, range, power efficiency, and spectral efficiency. CI-based subscriber units perform network-control functions to optimize network performance relative to channel conditions, network loads, and subscriber services. CI codes are used to identify and address network transmissions. Channel characteristics of communication links are employed to encode, address, and authenticate network transmissions. CI transceivers used as relays and routers employ unique characteristics of transmission paths to code and decode network transmissions. A central processor is adapted to perform array processing with signals received from, and transmitted by, a plurality of subscriber units in a wireless network.

Abstract: A software defined radio (SDR) virtualizes physical-layer processing operations of a radio access network (RAN) communication standard. The SDR comprises multiple components which are distributed across network nodes communicatively coupled by a fronthaul network. The SDR components are coordinated to function as a RAN transceiver. In one aspect, the SDR can simultaneously support multiple RAN communication protocols and function as a personalized virtual base station for each and every client device in the RAN.

Abstract: In a multiuser (MU) multiple antenna system (MAS), a central processing unit is communicatively coupled to multiple distributed wireless terminals (WTs) via a network. The central processing unit processes channel measurements indicative of channel conditions between the multiple distributed WTs and a plurality of user devices and selects a plurality of WTs from the multiple distributed WTs to enhance channel space diversity within the MU-MAS. The central processing unit calculates (Multiple Input, Multiple Output) MIMO weights from the channel measurements for precoding a plurality of data streams that are transmitted concurrently from the plurality of WTs to the plurality of users, wherein the MIMO weights provide for a plurality of independent MIMO channels.

Abstract: A wireless device establishes a first link for communications with a cellular base station, wherein the first link uses a first channel as a carrier. The wireless device receives information from the cellular base station for configuring a second link between the wireless device and another wireless device, wherein the second link uses a second channel as a carrier and wherein the second channel is different than the first channel. The wireless device communicates directly with the other wireless device using the second link, wherein the second link resources are assigned by the cellular base station using the first link.

Abstract: Low-complexity computational processing provides a set of selective mapping weights for reducing peak-to-average-power ratio (PAPR) in transmitted Multiple Input, Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) signals. A MIMO precoder and invertible transform generates a base discrete-time MIMO-OFDM signal from a set of data symbols and MIMO precoding weights. A matrix multiplier multiplies the set of data symbols with a sparse update weight matrix, and the resulting product is MIMO-precoded and modulated onto an OFDM signal to produce a discrete-time update signal. A linear combiner sums the discrete-time update signal and the base discrete-time MIMO-OFDM signal to produce an updated discrete-time MIMO-OFDM signal from which the PAPR can be measured.

Abstract: An unmanned aerial vehicle (UAV) uses a first baseband processor to establish a first communication link with a ground network cell and a second baseband processor that establishes a second communication link with a user device. The second baseband processor is communicatively coupled to the first baseband processor such that the user device exchanges communication data with the core network via the first communication link and the second communication link. Flight-control hardware steers the UAV along a flight trajectory that is determined by a ground-based UAV controller based at least on a geolocation of the user device. The second baseband processor establishes the second communication link with the user device while the first baseband processor maintains the first communication link with the ground network cell.

Abstract: An OFDM transmitter spreads original data symbols with a complex-valued spreading matrix derived from a discrete Fourier transform. Spread data symbols are mapped to OFDM subcarriers. Spreading and mapping are configured to produce a transmitted spread-OFDM signal with a low peak-to-average power ratio (PAPR) and orthogonal code spaces. In MIMO systems, the complex-valued spreading matrix can comprise a MIMO precoding matrix, and the code spaces can comprise MIMO subspaces. In Cooperative-MIMO, a combination of low code-space cross correlation and low PAPR can be achieved.