Base station

About: Base station is a research topic. Over the lifetime, 85883 publications have been published within this topic receiving 1019303 citations. The topic is also known as: Mobile phone base stations & BS.

Data communication device

Abstract: Disclosed herein are two embodiments of an alarm and security system. The first is a stand alone alarm and security system which includes a control panel and at least one transceiver for sending and receiving a control signal and a base station. The control panel receives information about one or more desired conditions in one or more geographical areas and transmits the information to a base station via the transceiver. The base station receives the information from the control panel and transmits the appropriate control signals to the control panel. The second embodiment includes a communications panel including first transceiver for receiving information about one or more desired conditions in one or more geographical areas and for receiving a control signal and for transmitting the desired condition information and a control signal to a base station. Either embodiment accepts information from an existing panel via telephone line and transfers a full data message to the base station.

PAR-Aware Large-Scale Multi-User MIMO-OFDM Downlink

Abstract: We investigate an orthogonal frequency-division multiplexing (OFDM)-based downlink transmission scheme for large-scale multi-user (MU) multiple-input multiple-output (MIMO) wireless systems. The use of OFDM causes a high peak-to-average (power) ratio (PAR), which necessitates expensive and power-inefficient radio-frequency (RF) components at the base station. In this paper, we present a novel downlink transmission scheme, which exploits the massive degrees-of-freedom available in large-scale MU-MIMO-OFDM systems to achieve low PAR. Specifically, we propose to jointly perform MU precoding, OFDM modulation, and PAR reduction by solving a convex optimization problem. We develop a corresponding fast iterative truncation algorithm (FITRA) and show numerical results to demonstrate tremendous PAR-reduction capabilities. The significantly reduced linearity requirements eventually enable the use of low-cost RF components for the large-scale MU-MIMO-OFDM downlink.

Allocation method and apparatus for reusing network resources in a wireless communication system

Abstract: In a wireless communication system (106), base stations (118, 120) are connected to a backbone network (116) such as a wired LAN and act as access points and relays for remote stations (128, 132, 136). A remote station registers and performs bidirectionnal communication with one of the base stations designated as its home base station. Base stations have overlapping coverage areas where a remote station is within reception range of several base stations. Such communication system may for instance be a multicell radio LAN using frequency hopping signaling. The method allows to reuse a limited number of network resources such as frequency hopping patterns and assign the same resource to several active base stations. Upon request from a base station, a network controller (110) connected to the backbone network computes a distance index between the requesting base station and the other active base stations and assigns to the requesting base station the same network resource as the one assigned to another base station with the highest distance index. Information about cells overlaps is centralized in a control database (109) and used by the network controller to compute distance indexes.

Optimal User-Cell Association for Massive MIMO Wireless Networks

Abstract: Massive MIMO is one of the most promising approaches for coping with the predicted wireless data traffic explosion. Future deployment scenarios will involve dense heterogeneous networks, comprised of massive MIMO base stations with different powers, numbers of antennas and multiplexing gain capabilities, and possibly highly nonhomogeneous user density (hot-spots). In such dense irregularly deployed networks, it will be important to have mechanisms for associating users to base stations so that the available wireless infrastructure is efficiently used. In this paper, we consider the optimal user-cell association problem for massive MIMO heterogeneous networks and illustrate how massive MIMO can also provide nontrivial advantages at the system level. Unlike previous treatments that rely on integer program problem formulations and their convex relaxations, the user-cell association problem is formulated directly as a convex network utility maximization and solved efficiently by a centralized subgradient algorithm. As we show, the globally optimal solution is physically realizable , in that there exists a sequence of integer-valued associations approaching arbitrarily closely the optimal fractional association. We also consider simple decentralized user-centric association schemes, where each user individually and selfishly connects to the base station with the highest promised throughput. Such user-centric schemes where users make local association decisions in a probabilistic manner can be viewed as games and are known to converge to Nash equilibria. Surprisingly, as we show, under certain conditions, the globally optimal solution is close to these Nash equilibria. Such decentralized approaches are, therefore, attractive not only for their simplicity, but also because they operate near the system social optimum. Our theoretical results are confirmed by extensive simulations with realistic LTE-like network parameters.

Adaptive Limited Feedback for Sum-Rate Maximizing Beamforming in Cooperative Multicell Systems

Abstract: Base station cooperation improves the sum-rates that can be achieved in cellular systems. Conventional cooperation techniques require sharing large amounts of information over finite-capacity backhaul links and assume that base stations have full channel state information (CSI) of all the active users in the system. In this paper, a new limited feedback strategy is proposed for multicell beamforming where cooperation is restricted to sharing only the CSI of active users among base stations. The system setup considered is a linear array of cells based on the “soft hand-off model,” where each cell contains single-antenna users and multi-antenna base stations. Beamforming vectors are designed using a generalized eigenvector approach to maximize the sum-rate in a single-interferer scenario, at high signal to noise ratio. Users are assumed to feedback quantized CSI of the desired and interfering channels using a finite-bandwidth feedback link. An upper bound on the mean loss in sum rate due to random vector quantization is derived. A new feedback-bit allocation strategy, to partition the available bits between the desired and interfering channels, is developed to reduce the mean loss in sum-rate due to quantization for the soft hand-off model. The proposed feedback-bit partitioning algorithm is shown, using simulations, to yield sum-rates close to the those obtained using full CSI at base station.