The present invention is designed to provide a user terminal, a radio base station and a radio communication method of novel structures that can achieve a good communication environment. A radio base station non-orthogonal-multiplexes downlink signals for a plurality of user terminals over a given radio resource, a user terminal having received the downlink signals for the plurality of user terminals decodes downlink signal for another user terminal, judges whether or not the downlink signal for the other user terminal has been successfully received, based on the decoding result of the downlink signal, reports a judgement result as to whether or not the downlink signal for the other user terminal has been successfully received and a judgement result as to whether or not a downlink signal for the user terminal has been successfully received, to the radio base station, and then the radio base station executes retransmission control of downlink signals based on reports from the user terminal.

User terminal, radio base station and radio communication method

A wireless telecommunication system comprises base stations for communicating with terminal devices. One or more base stations support a power boost operating mode in which a base station's available transmission power is concentrated in a subset of its available transmission resources to provide enhanced transmission powers as compared to transmission powers on these transmission resources when the base station is not operating in the power boost mode. A base station establishes an extent to which one or more base stations in the wireless telecommunications system support the power boost operating mode conveys an indication of this to a terminal device. The terminal device receives the indication and uses the corresponding information to control its acquisition of a base station of the wireless telecommunication system, for example by taking account of which base stations support power boosting and/or when power boosting is supported during a cell attach procedure.

Telecommunications apparatus and methods

This paper presents a comprehensive and general optimization-based home energy management controller, incorporating several classes of domestic appliances including deferrable, curtailable, thermal, and critical ones. The operations of the appliances are controlled in response to dynamic price signals to reduce the consumer’s electricity bill whilst minimizing the daily volume of curtailed energy, and therefore considering the user’s comfort level. To avoid shifting a large portion of consumer demand toward the least price intervals, which could create network issues due to loss of diversity, higher prices are applied when the consumer’s demand goes beyond a prescribed power threshold. The arising mixed integer nonlinear optimization problem is solved in an iterative manner rolling throughout the day to follow the changes in the anticipated price signals and the variations in the controller inputs while information is updated. The results from different realistic case studies show the effectiveness of the proposed controller in minimizing the household’s daily electricity bill while preserving comfort level, as well as preventing creation of new least-price peaks.

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Automated Demand Response From Home Energy Management System Under Dynamic Pricing and Power and Comfort Constraints

According to the present invention, there are provided a base station device, a terminal device, a communication method, and an integrated circuit capable of performing communication more efficiently when the terminal device transmits an uplink signal based on scheduling by the base station device. The terminal device includes a setting unit that sets a first uplink-downlink configuration, a second uplink-downlink configuration, and a third uplink-downlink configuration, a reception unit that monitors a physical downlink control channel accompanied with a downlink control information format which is used to schedule a physical downlink shared channel in a downlink subframe based on the third uplink-downlink configuration and includes information making a request for transmitting a sounding reference signal, and a transmission unit that transmits or drops the sounding reference signal and transmit an HARQ-ACK for transmission with the physical downlink shared channel.

Terminal device, base station device, communication method, and integrated circuit

In order that a user terminal properly identifies a connection cell in a radio communication system (LTE-U) for operating LTE in an unlicensed band, a user terminal for communicating with a radio base station in an unlicensed band is provided with a detection section that detects a synchronization signal transmitted from a radio base station using a dummy cell ID used in common among a plurality of radio base stations, an estimation section that performs channel estimation using a reference signal, and a reception processing section that performs reception processing of system information transmitted from a radio base station using a channel estimation result.

User terminal, wireless base station, and wireless communication method

Methods and apparatus are provided for a User Equipment (UE) and a base station in communication with each other to determine parameters for a Random Access (RA) process. The base station informs the UE through a System Information Block (SIB) of a number of resource sets for RA preamble transmission by the UE. Each resource set is associated with a number of repetitions for a RA preamble transmission, with a maximum number of RA preamble transmissions, and with a number of repetitions the base station transmits a response to a RA preamble reception. The SIB also informs an association between a range of path-loss values and a number of RA preamble repetitions. The UE determines a number of repetitions for a first RA preamble transmission from its path-loss measurement.

Method and apparatus for coverage enhancement for a random access process

Smart energy management is an important problem in Smart Grid network, and demand response (DR) is one of the key enabling technologies. If each home uses automated demand response which would opportunistically schedule devices that are flexible to run at any time in a large time window, towards the slots with lower electricity prices, peaks at these slots may happen. We denote such peaks as rebound peaks. We address the potential rebound peak problems of automated DR algorithms, and provide possible solutions. We illustrate why a rebound peak is possible via the insights we obtain from the optimal automated DR algorithm. We show that if the utility electricity supply cost is assumed to be a homogeneous function in the energy consumption over a certain time span, a system of multiple homes and utility company has the lowest total electricity supply cost if the electricity consumption from all the homes is flat over the time span. We study multiple approaches to reduce the rebound peak, and accordingly propose algorithms for DR at each home. Effectiveness of the approaches is verified by numerical results.

Automated Residential Demand Response: Algorithmic Implications of Pricing Models

A network and user equipment are configured to support machine type communications is provided. The UE includes processing circuitry to process a physical broadcast channel (PBCH) to acquire at least one system information block (SIB). The processing circuitry also processes the at least one SIB to determine a location of a lite SIB (SIB-L). The processing circuitry determines a location of a lite physical downlink control channel (L-PBCCH) from the SIB-L.

Apparatus and method for machine-type communications

Smart energy management is an important problem in Smart Grid network, and demand response (DR) is one of the key enabling technologies. If each home uses automated demand response which would opportunistically schedule devices that are flexible to run at any time in a large time window, towards the slots with lower electricity prices, rebound peak at these slots may happen. We address the potential problems of automated DR algorithms, and provide possible solutions. We illustrate why a rebound peak is possible via the insights we obtain from the mathematically proven optimal automated DR algorithm. We show that a system of multiple homes and utility company has the lowest overall cost if the energy usage is flat over time, study multiple approaches for leveraging the rebound peak, and accordingly propose algorithms for DR at each home. Effectiveness of the approaches is verified by numerical results.

Automated residential demand response: Algorithmic implications of pricing models

Methods and apparatus are provided for a base station to transmit and for a UE to detect broadcast information when the UE operates in a Coverage Enhancement (CE) mode. The base station transmits repetitions of signaling conveying broadcast information in one or more subframes of each frame in a quadruple of frames. The transmission is intermittent in time. To detect the broadcast information, the UE blindly combines and decodes the repetitions of signaling assuming their existence. The base station informs the pattern for the intermittent transmissions of the signaling to UEs connected to the base station or to other base stations.

Ying Li

Papers

Method and apparatus for coverage enhancement for a random access process

Automated Residential Demand Response: Algorithmic Implications of Pricing Models

Apparatus and method for machine-type communications

Automated residential demand response: Algorithmic implications of pricing models

System and method for coverage enhancements of broadcast channels