Rate Maximization of Decode-and-Forward Relaying Systems with RF Energy Harvesting

We consider a three-node decode-and-forward (DF) half-duplex relaying system, where the source first harvests RF energy from the relay, and then uses this energy to transmit information to the destination via the relay. We assume that the information transfer and wireless power transfer phases alternate over time in the same frequency band, and their time fraction (TF) may change or be fixed from one transmission epoch (fading state) to the next. For this system, we maximize the achievable average data rate. Thereby, we propose two schemes: (1) jointly optimal power and TF allocation, and (2) optimal power allocation with fixed TF. Due to the small amounts of harvested power at the source, the two schemes achieve similar information rates, but yield significant performance gains compared to a benchmark system with fixed power and fixed TF allocation.

The association between anticholinergic medication burden and health related outcomes in the ‘oldest old’: A systematic review of the literature

Background: Increased exposure to anticholinergic medication is problematic, particularly in those aged 80 years and older.

Objective: The aim of this systematic review was to identify tools used to quantify anticholinergic medication burden and determine the most appropriate tool for use in longitudinal research, conducted in those aged 80 years and older.

Methods: A systematic literature search was conducted across six electronic databases to identify existing tools. Data extraction was conducted independently by two researchers; studies describing the development of each tool were also retrieved and relevant data extracted. An assessment of quality was completed for all studies. Tools were assessed in terms of their measurement of the association between anticholinergic medication burden and a defined set of clinical outcomes, their development and their suitability for use in longitudinal research; the latter was evaluated on the basis of criteria defined as the key attributes of an ideal anticholinergic risk tool.

Results: In total, 807 papers were retrieved, 13 studies were eligible for inclusion and eight tools were identified. Included studies were classed as ‘very good’ or ‘good’ following the quality assessment analysis; one study was unclassified. Anticholinergic medication burden as measured in studies was associated with impaired cognitive and physical function, as well as an increased frequency of falls. The Drug Burden Index (DBI) exhibited most of the key attributes of an ideal anticholinergic risk tool.

Conclusion: This review identified the DBI as the most appropriate tool for use in longitudinal research focused on older people and their exposure to anticholinergic medication burden.