English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The transmitter optimization (i.e., steering vectors and power allocation) for a MISO broadcast channel subject to general linear constraints is considered. Such constraints include, as special cases, the sum-power, per-antenna or per-group-of-antennas power, and &#x201C;forbidden interference direction&#x201D; constraints. We consider both the optimal dirty-paper coding and simple suboptimal linear zero-forcing beamforming strategies, and provide numerically efficient algorithms that solve the problem in its most general form. As an application, we consider a multicell scenario with partial cell cooperation, where each cell optimizes its transmitter by taking into account interference constraints on specific users in adjacent cells. The effectiveness of the proposed method is evaluated in a simple system scenario including two adjacent cells and distance-dependent pathloss, under different fairness criteria that emphasize the bottleneck effect of users near the cell &#x201C;edge.&#x201D; Our results show that this &#x201C;active&#x201D; Intercell Interference (ICI) mitigation outperforms the conventional &#x201C;static&#x201D; ICI mitigation based on fractional frequency reuse.

Multiuser MISO Transmitter Optimization for Intercell Interference Mitigation