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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In this paper, we consider the energy-bandwidth allocation for a network withmultiple broadcast channels, where the transmitters access the networkorthogonally on the assigned frequency band and each transmitter communicateswith multiple receivers orthogonally or non-orthogonally. We assume that theenergy harvesting state and channel gain of each transmitter can be predictedfor $K$ slots {\em a priori}. To maximize the weighted throughput, we formulatean optimization problem with $O(MK)$ constraints, where $M$ is the number ofthe receivers, and decompose it into the energy and bandwidth allocationsubproblems. In order to use the iterative algorithm proposed in [1] to solvethe problem, we propose efficient algorithms to solve the two subproblems, sothat the optimal energy-bandwidth allocation can be obtained with an overallcomplexity of ${\cal O}(MK^2)$, even though the problem is non-convex when thebroadcast channel is non-orthogonal. For the orthogonal broadcast channel, wefurther formulate a proportionally-fair (PF) throughput maximization problemand derive the equivalence conditions such that the optimal solution can beobtained by solving a weighted throughput maximization problem. Further, thealgorithm to obtain the proper weights is proposed. Simulation results showthat the proposed algorithm can make efficient use of the harvested energy andthe available bandwidth, and achieve significantly better performance than someheuristic policies for energy and bandwidth allocation. Moreover, it is seenthat with energy-harvesting transmitters, non-orthogonal broadcast offerslimited gain over orthogonal broadcast.

Multiuser Joint Energy-Bandwidth Allocation with Energy Harvesting - Part II: Multiple Broadcast Channels & Proportional Fairness