Stefan Parkvall

Bio: Stefan Parkvall is an academic researcher from Ericsson. The author has contributed to research in topics: Telecommunications link & Node (networking). The author has an hindex of 58, co-authored 502 publications receiving 19083 citations. Previous affiliations of Stefan Parkvall include Royal Institute of Technology & University of California, San Diego.

A method and a user equipment for peer-to-peer communication

Abstract: The exemplary embodiments relate to a method for use in a user equipment (UE), and a cellular infrastructure, for achieving synchronization between UEs for a peer-to-peer or device-to-device (D2D) communication. The method comprising: receiving at a UE a synchronization message from a cell or a RAT or a source of the cellular infrastructure; assembling a message including a list comprising information on the source or cell or RAT, sending the assembled message to a another UE and initiate synchronization between involved UEs based on the information in the assembled message.

Methods providing aided signal synchronization and related network nodes and devices

Abstract: Methods may be providing for signal synchronization at a wireless terminal communicating with a radio access network. For example, a command may be received from the radio access network, and the command may be to add a first carrier on a first frequency as a link for communications from the radio access network to the wireless terminal. Responsive to receiving the command to add the first carrier, the first carrier may be synchronized and/or configured using signals of a second carrier on a second frequency different than the first frequency. Related wireless terminals, network nodes, and network node methods are also discussed.

Method and devices for providing enhanced signaling

Abstract: Methods and devices for introducing enhanced signals into a wireless environment. The enhanced signals provide for functionality that is not specified in a communication standard corresponding to a standard of a legacy terminal. The enhanced signals can be utilized by a non-legacy terminal. The legacy terminal is incapable of processing the enhanced signals and is unable to detect the presence of the enhanced signals.

Signaling of other-cell signal's configuration information to facilitate interference cancellation at a mobile terminal

Abstract: In MU-MIMO scenarios, a target mobile terminal can be exposed to data streams intended for other mobile terminals. If the target mobile terminal is capable of interference cancellation, then a serving base station can provide the target mobile terminal with interference information so that the target mobile terminal can efficiently cancel interferences due to these interfering data streams. The interference information includes one or more configuration information, each of which characterizes a related interfering data stream. The serving base station provides the interference information over one or more radio resources that are exclusive allocated to the target mobile terminal or are allocated for common listening. The serving base station exchanges configuration information with neighboring base stations over inter-BS links. The inter-BS links use resources that are different from the radio resources used between the base stations and the mobile terminals.

Point-dependent resource symbol configuration in a wireless cell

Abstract: A high-power point and one or more low-power points transmit signals associated with the same cell-identifier in a heterogeneous cell deployment. Coverage areas corresponding to the low-power points fall at least partly within the coverage area for the high-power point, so that mobile stations within range of a low-power point are also within range of the high-power point. Channel-state-information reference symbols, CSI-RS, are transmitted using different CSI-RS resources on different transmission points within the cell, while configuration of CSI-RS measurement resources is conducted on a UE-specific basis. The choice of measurement resources to be used is determined by the network, based on the properties of the channels from the transmission points to the UE. As the UE moves around within the cell, the network tracks the channel properties and reconfigures the CSI-RS resources measured by the UE, to correspond to the resource of the closest transmission point or points.

Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas

Abstract: A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval. Time-division duplex operation combined with reverse-link pilots enables the base station to estimate the reciprocal forward- and reverse-link channels. The conjugate-transpose of the channel estimates are used as a linear precoder and combiner respectively on the forward and reverse links. Propagation, unknown to both terminals and base station, comprises fast fading, log-normal shadow fading, and geometric attenuation. In the limit of an infinite number of antennas a complete multi-cellular analysis, which accounts for inter-cellular interference and the overhead and errors associated with channel-state information, yields a number of mathematically exact conclusions and points to a desirable direction towards which cellular wireless could evolve. In particular the effects of uncorrelated noise and fast fading vanish, throughput and the number of terminals are independent of the size of the cells, spectral efficiency is independent of bandwidth, and the required transmitted energy per bit vanishes. The only remaining impairment is inter-cellular interference caused by re-use of the pilot sequences in other cells (pilot contamination) which does not vanish with unlimited number of antennas.

Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays

Abstract: Multiple-input multiple-output (MIMO) technology is maturing and is being incorporated into emerging wireless broadband standards like long-term evolution (LTE) [1]. For example, the LTE standard allows for up to eight antenna ports at the base station. Basically, the more antennas the transmitter/receiver is equipped with, and the more degrees of freedom that the propagation channel can provide, the better the performance in terms of data rate or link reliability. More precisely, on a quasi static channel where a code word spans across only one time and frequency coherence interval, the reliability of a point-to-point MIMO link scales according to Prob(link outage) ` SNR-ntnr where nt and nr are the numbers of transmit and receive antennas, respectively, and signal-to-noise ratio is denoted by SNR. On a channel that varies rapidly as a function of time and frequency, and where circumstances permit coding across many channel coherence intervals, the achievable rate scales as min(nt, nr) log(1 + SNR). The gains in multiuser systems are even more impressive, because such systems offer the possibility to transmit simultaneously to several users and the flexibility to select what users to schedule for reception at any given point in time [2].

Two decades of array signal processing research: the parametric approach

Abstract: The quintessential goal of sensor array signal processing is the estimation of parameters by fusing temporal and spatial information, captured via sampling a wavefield with a set of judiciously placed antenna sensors. The wavefield is assumed to be generated by a finite number of emitters, and contains information about signal parameters characterizing the emitters. A review of the area of array processing is given. The focus is on parameter estimation methods, and many relevant problems are only briefly mentioned. We emphasize the relatively more recent subspace-based methods in relation to beamforming. The article consists of background material and of the basic problem formulation. Then we introduce spectral-based algorithmic solutions to the signal parameter estimation problem. We contrast these suboptimal solutions to parametric methods. Techniques derived from maximum likelihood principles as well as geometric arguments are covered. Later, a number of more specialized research topics are briefly reviewed. Then, we look at a number of real-world problems for which sensor array processing methods have been applied. We also include an example with real experimental data involving closely spaced emitters and highly correlated signals, as well as a manufacturing application example.

On the capacity of a cellular CDMA system

Abstract: It is shown that, particularly for terrestrial cellular telephony, the interference-suppression feature of CDMA (code division multiple access) can result in a many-fold increase in capacity over analog and even over competing digital techniques. A single-cell system, such as a hubbed satellite network, is addressed, and the basic expression for capacity is developed. The corresponding expressions for a multiple-cell system are derived. and the distribution on the number of users supportable per cell is determined. It is concluded that properly augmented and power-controlled multiple-cell CDMA promises a quantum increase in current cellular capacity. >