Abstract:
A system may include a plurality of wireless devices, each wireless device including a time source and configured to selectively communicate with at least one other of the plurality of wireless devices by way of a packet-based time precision protocol. The plurality of wireless devices may include a first wireless device and a second wireless device, the first wireless device being configured to determine whether the first wireless device and the second wireless device are in selective communication over a single-hop wireless link; determine a one-way delay over the single-hop wireless link by way of at least one packed-based time precision protocol message; and calculate a distance measurement between the first wireless device and the second wireless device based at least in part on the one-way delay.
Abstract:
A device identifies mobile devices within a geographical area associated with a carrier network. The device further divides the geographical area into cells. The device also collects network statistics associated with the mobile devices. The device assigns values to the cells based on the network statistics, and identifies locations in which to place the small cells within the geographical area based on the values.
Abstract:
Methods and compositions are provided for the diagnosis and treatment of heart diseases relating to cardiac hypertrophy, and for the regulation of proliferation and differentiation of cardiomyocyte progenitors in vitro. The detection of expression of components of the BAF complex, including, without limitation, detection of expression of Brg1, provides useful methods for early detection, diagnosis, staging, and monitoring of conditions leading to hypertrophy and enlargement of the heart. Manipulation of Brg1 activity provides for therapeutic intervention in the development of cardiac hypertrophy, where methods of decreasing Brg1 activity, e.g. through inhibition of binding, decreasing expression, and the like, reduces cardiac hypertrophy.
Abstract:
The disclosure discloses a method, system and RN for processing UCI on a backhaul link. The method comprises that: the RN determines Q′ which is the number of the coded modulation symbols of the backhaul UCI according to the number of SC-FDMA symbols occupied by a GP, wherein the GP comprises RN state switch time deltaT and/or the time interval deltat which is reserved for avoiding the interference caused by RN uplink transmission, and deltaT is the switch time required by the RN to switch from an uplink reception state to an uplink transmission state and/or from the uplink transmission state to the uplink reception state; and the RN codes the backhaul UCI into a Q=Q′×Qm bits sequence, wherein Qm is the number of bits comprised in each coded modulation symbol in the modulation order of the backhaul uplink subframe. The disclosure improves the performance of the system.
Abstract:
The disclosure provides a method and system for allocating resources of a Relay link-Physical Downlink Control Channel (R-PDCCH). The method includes that: a network side configures a resource allocation way of the R-PDCCH (400); a relay node receives control information carried in the R-PDCCH in accordance with the configured resource allocation way (401). The disclosure provides a specific solution for implementing the resource allocation of the R-PDCCH.
Abstract:
A method for measuring a call capacity of a cellular network which includes a plurality of sectors including a test sector and neighboring sectors defined by a number of base stations. A plurality of voice communication generators and a plurality of best effort generators are located both in the test sector and the neighboring sectors. Interference level from activated test units located within the neighboring sectors and the test sector represents total radio resources of the test sector. Throughput of best effort generators is measured while activating a predetermined number of voice communication generators within the test sector. An approximate relationship between the throughput of best effort generators and the number of activated voice communication generators is obtained. The call capacity within the test sector is determined from the approximate relationship between the throughput of best effort generators and the number of the activated voice communication generators. The call capacity within the test sector is adjusted to a real commercial communication environment based on real interference levels from the neighboring sectors.
Abstract:
A method for implementing relay station downlink retransmission and a relay station are disclosed by the present invention. According to the situation of the least available radio resource number for retransmission data on a retransmission sub-frame, the relay station of the present invention performs corresponding physical layer processing in advance for the data to be retransmitted until the OFDM signal is generated, and retransmits the OFDM signal on the retransmission sub-frame. By the method of the present invention, the problem is resolved efficiently that the relay station cooperative communication cannot be performed normally due to the change of the radio resource number during downlink data retransmission, so that the normal implementation of the relay station downlink cooperative communication is ensured; furthermore, the method of the present invention does not induce any extra overhead and time delay, needs no signaling control, can be easily implemented, reduces the system complexity, ensures the flexibility of sub-frame configuration, thereby improving service quality and resource utilization rate.
Abstract:
A method performed by a wireless node including receiving charging policies for data offloading; performing data offloading with respect to a user data flow; generating charging information associated with data offloading based on the charging policies; and sending the charging information to at least one of an on-line charging function or an off-line charging function.
Abstract:
A method may include obtaining traffic loading and resource utilization information associated with a network for the network time domain; obtaining machine-to-machine resource requirements for machine-to-machine tasks using the network; receiving a target resource utilization value indicative of a network resource limit for the network time domain; calculating a probability for assigning each machine-to-machine task to the network time domain, wherein the probability is based on a difference between the target resource utilization value and the traffic loading and resource utilization associated with the network; calculating a probability density function based on an independent and identically distributed random variable; generating a schedule of execution of the machine-to-machine tasks within the network time domain based on the probabilities associated with the machine-to-machine tasks and the probability density function; and providing the schedule of execution of the machine-to-machine tasks.