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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Many practical wireless communications systems select their transmit ratefrom a finite set of modulation and coding schemes, which correspond to a setof discrete rates. In this paper, we therefore formulate a joint coordinatedprecoding and discrete rate selection problem for multiple-inputmultiple-output (MIMO) multicell networks. Compared to the common assumption ofusing the continuous Shannon rates as the user utilities, explicitly accountingfor the discrete rates more accurately models practical wireless communicationsystems. The optimization problem that we formulate is combinatorial andnon-convex, however, and is thus hard to solve. We therefore rewrite theproblem using a discontinuous rate function, which we then bound using itsconcave envelope in some domain. Based on block coordinate descent, we providea convergent resource allocation algorithm which can be implemented in asemi-distributed fashion. Numerical performance evaluation shows performancegains when the discrete rates are optimized using our model, as compared to thetraditional methods which use the continuous Shannon rates as the userutilities.

Joint Coordinated Precoding and Discrete Rate Selection in Multicell MIMO Networks