scispace - formally typeset
P

Preben Mogensen

Researcher at Aalborg University

Publications -  525
Citations -  17645

Preben Mogensen is an academic researcher from Aalborg University. The author has contributed to research in topics: Telecommunications link & Scheduling (computing). The author has an hindex of 64, co-authored 512 publications receiving 16042 citations. Previous affiliations of Preben Mogensen include Nokia & Bell Labs.

Papers
More filters
Journal ArticleDOI

Performance Analysis of Simple Channel Feedback Schemes for a Practical OFDMA System

TL;DR: The so-called average best-M scheme is the most attractive channel feedback solution, where only the average channel quality for the best M subbands is reported, together with a bit mask identifying those subbands.
Proceedings ArticleDOI

Dual-Cell HSDPA for Network Energy Saving

TL;DR: An energy saving feature is proposed that exploits variations in network traffic and determines if the secondary carrier is detrimental for reaching some pre-set minimum requirements, resulting in an energy saving ranging between 14% and 36%.
Journal ArticleDOI

Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity

TL;DR: In this article, a measurement campaign for the A2G channels is introduced, where a uniform circular array (UCA) with 16 antenna elements was employed to collect the downlink signals of two different Long Term Evolution (LTE) networks, at the heights of 0-40m in three different, namely rural, urban and industrial scenarios.
Journal ArticleDOI

Capacity gain of beamforming techniques in a WCDMA system under channelization code constraints

TL;DR: This study addresses the performance of a wideband code-division multiple-access mobile communications system with beamforming antenna arrays (AAs) at the base station, synthesizing a grid of beams, and the soft capacity mechanism associated with partial deployment of AAs in a subset of the cells in the network is addressed.

Self-Organizing Coalitions for Conflict Evaluation and Resolution

TL;DR: The proposed algorithm consists of a set of distributed and scalable rules for building coalitions; these rules essentially resolve the conflicts among avid femtocells competing for a limited amount of resources.