Abstract:
Methods are provided. A method includes determining respective weighted likelihoods corresponding to a plurality of users in a multiple-input multiple-output communication system. The method further includes forming a plurality of user groups from the plurality of users using an iterative K-means clustering technique applied to the plurality of users. The iterative K-means clustering technique is responsive to the respective weighted likelihoods.
Abstract:
A method for determining an optimal network utilization maximization in a communication system with wireless links in which current and coarse channel state information CSI is available from all users, along with a limited amount of fine CSI by way of a frame based entails a scheduling and feedback under which a virtual queue is associated with each user with virtual rates being determined at start of each frame and policy of each frame being determined by solving a decision process.
Abstract:
A method implemented in a user equipment configured to be used in a multi-user (MU) multiple-input multiple-output (MIMO) wireless communications system is disclosed. The method includes transmitting to a base station a first channel state information (CSI) report determined according to a single-user (SU) MIMO rule, and transmitting to the base station a second CSI report determined according to an MU-MIMO rule. Other methods, apparatuses, and systems also are disclosed.
Abstract:
A method for determining attributes of communication channels of multi-user (MU)-multiple input multiple output (MIMO) users in an orthogonal frequency division multiplexing based multiple access (OFDMA) system is disclosed. The method comprises receiving from a base station, for at least one sub-band of contiguous sub-carriers, an indication of an estimate of or an upper-bound on a total number of streams that are co-scheduled by the base station on the at least one sub-band or an indication of a fraction of a transmit power at the base station that is applied to streams that are scheduled for transmission to a particular user, determining one or more signal quality measures for the at least one sub-band based on at least one of the fraction or the estimate of or the upper-bound on the total number of streams that are scheduled by the base station on the at least one sub-band, and transmitting to the base station an indication of the one or more signal quality measures. Other methods, apparatuses, and systems also are disclosed.
Abstract:
A method implemented in a user equipment used in a multi-user multiple input multiple output (MU-MIMO) wireless communications system is disclosed. The method includes receiving from a base station an indication of a first modulation type for the user equipment, receiving a first data signal for the user equipment, receiving a second data signal for a co-scheduled user equipment, where a second modulation type for the co-scheduled user equipment is unknown to the user equipment, and deciding the second modulation type. Other methods, systems, and apparatuses also are disclosed.
Abstract:
A method for determining an optimal network utilization maximization in a communication system with wireless links in which current and coarse channel state information CSI is available from all users, along with a limited amount of fine CSI by way of a frame based entails a scheduling and feedback under which a virtual queue is associated with each user with virtual rates being determined at start of each frame and policy of each frame being determined by solving a decision process.
Abstract:
A method implemented in a wireless communications system is disclosed. The method includes: transmitting, from a wireless transmitter having a transmit antenna array, a first signal on each of a plurality of different transmit beams in transmitter (TX) sector level sweep (SLS), receiving, at a wireless receiver having a receive antenna array, the first signal, and determining, at the wireless receiver, quality of the first signal. Other methods, systems, and apparatuses also are disclosed.
Abstract:
A method implemented in a mobile communications network supporting coordinated multiple point transmission and reception (CoMP) is disclosed. The method includes transmitting, to a user equipment (UE), data in a physical downlink shared channel (PDSCH), and transmitting a reference signal to the UE, wherein a union of resource elements (REs) allocated for reference signals transmitted from a subset of a plurality of transmission points (TPs) in a CoMP set are excluded from resource mapping for transmitting the data to the UE. Other methods, systems, and apparatuses also are disclosed.
Abstract:
A method is provided for optimizing energy efficiency over an energy-harvesting Long Term Evolution cellular network. The method includes assigning (a) resource blocks, (b) transmission modes, and (c) bit loadings on the resource blocks to a set of users such that (i) the assigned resource blocks satisfy a system of linear ascending inequality constraints, and (ii) respective sums of the bit loadings for each of the users do not exceed respective queue sizes pertaining to the each of the users. The method further includes incorporating a resource block and transmission mode assignment for a user into downlink scheduler of a base station to cause the downlink scheduler to perform downlink scheduling in accordance with the resource block and transmission mode assignment.
Abstract:
A computer-implemented method for establishing communication links in a millimeter wave (mmWave) network by solving a linear integer packing problem is presented. The computer-implemented method includes determining active communication links between a plurality of transmitters and a plurality of receivers, setting each active communication link to have any arbitrary chosen weight or priority, and setting a minimum link quality threshold for each active communication link and subjecting each active communication link to constraints. Detected phantom constraints are mitigated by introducing new constraints with binary coefficients and by modifying one or more existing constraints by setting a number of coefficients within the existing constraints to zero.