Sentence examples for multiple antenna users from inspiring English sources

The general system architecture is that multiple antenna users communicate with a base station or AP provided also with multiple antennas.

Consider a K-cell MU-MIMO downlink system where each cell includes one multiple antenna BS and a plurality of multiple antenna users.

(2) User scheduling and precoder selection from a codebook of vectors/matrices known a priori to both the BS and the users based on partial CSI: the scheme proposed in [17] called transmit beam matching (TBM) is one example, which extends the per-user unitary rate control (PU RC) [12, 24] approach to multiple antenna users.

In addition to precoding at the BS, multiple antenna users can use their antennas to process their received signal vector using relatively low-complexity linear schemes such as zero-forcing (ZF) and minimum mean squared error (MMSE) processing and send back some sort of channel quality indicator (CQI), for example, SINR or rate, to the BS.

Some of the proposed approaches can be applied to systems with only single antenna user terminals [11 16], while some accommodate multiple antenna user terminals [17 23].

When multiple antenna user terminals are considered, often it is assumed that all user terminals have the same number of antennas.

In this work, we focus on downlink CoMP-JP with multiple antenna user equipments (UEs) where the additional degrees of freedom are used to suppress the residual interference by using an interference rejection combiner (IRC) and allow a multi-stream transmission.

Examples of such methods include zero-forcing beamforming (ZFB) [3] for systems with single-antenna users, and block diagonalization (BD) [4] for systems with multiple-antenna users.

As a promising solution for increased throughput, multiuser multiple-input multiple-output (MU-MIMO) techniques have been introduced [2], in which several single- and/or multiple-antenna users receive their corresponding signals simultaneously from multiple-antenna base stations (BSs).

In [24], a multiple-antenna base station used the NOMA approach to serve two multiple-antenna users simultaneously, where the problem of throughput maximization was formulated and two algorithms were proposed to solve the optimization problem.

There exists a base station with M T transmit antennas and a transmit power constraint of P. The base station transmits to K0 users out of a pool of K multiple-antenna users requesting service, each with N k receive antennas.