In this section, three beamforming strategies are presented, which have been originally developed for the multiuser MIMO in a single-cell system model.
where the mean value of ϕ k is given by ϕ ̄ k = σ a, k 2 σ b ; k 2 σ a, k 2 + σ b, k 2. Now applying a similar method as in [20], developed for downlink multiuser systems, we can express the PDF and the CDF of the best user pair (with θk*) for the considered fair scheduling system, respectively, as f θ k * = ∑ k = 1 K 1 θ ̄ k f k θ θ ̄ k ∏ j=1 j ≠ k K F j θ θ ̄ k (18).
A SWIPT algorithm was developed for multiuser multiple input single ouptut (MISO) broadcast systems in which each of which implements information decoding (ID) or energy harvesting (EH) [11].
For state-dependent models with noncausal state at the encoder, although much is known about the single user case, the theory is less well developed for multiuser cases.
In this article, we developed a multiuser joint CFO and DOA estimation scheme for OFDMA uplink transmissions.
In contrast to the mentioned papers, there are a number of schemes developed for fairness in limited-feedback multiuser systems.
In this paper, we develop a dynamic power allocation algorithm for a multiuser transmitter powered by hybrid energy sources (including the traditional power grid and EH sources).
Our major contributions for this research are threefold: (1) No need to know the statistical information of the EH process, data arrivals, and channel states; we develop a dynamic power allocation algorithm for a multiuser transmitter with the aim of minimizing the energy consumption from the power grid, taking into account the battery imperfection.
The paper is organized as follows: In Section 2, the overall context for a multiuser asynchronous environment is presented and the benefits FBMC waveforms have in this context are developped.
A heuristic approach is proposed for a multiuser underlay cognitive radio system.
