Interference Analysis and Performance Evaluation of 5G Flexible-TDD Based Dense Small-Cell System

Interference Distribution Prediction for Link Adaptation in Ultra-Reliable Low-Latency Communications

“…Given the LA optimization problem (9), as in Section II-B, the choice of the MCS is based on the estimated SINR, and in particular on the predicted IPV. Based on this consideration, we rewrite the LA problem as min Î(t+1)…”

“…In [9] interference is measured at a central base station (BS) and interferers are grouped into concentric layers. UEs are assumed to be static, time correlation of fast fading is modelled by mean of a Bessel function of the first kind and traffic is generated according to an interrupted Poisson process.…”

Constant modulus hybrid beamforming for multi-user systems in the presence of blockers

“…Where y ∈ C n BS ×1 is the received signal vector, x ∈ C n U ×1 is the users transmitted signal vector, x B ∈ C n B ×1 is the blockers signal vector, n ∈ C n BS ×1 is the thermal noise vector, with [n] i ∼ CN (0, σ 2 n ), H = [h (1) h (2) . .…”

“…3) Capon solution: The optimal solution in terms of SINR is a well known solution in beamforming [12]. We present here a column-wise 1 proportional solution for our model using autocorrelation matrices based on instantaneous channel matrices:…”

“…Due to the projected data rate demand increase in 2020 by a 1000 factor for the aggregate data rate networks [1], the next generation of mobile networks will have to operate in ultra user-dense scenarios. Key enablers proposed in the literature and by industrials to support this demand are the small cell networks (SCNs) [2] that will operate in short range with a prefered TDD (time division duplex) based access, due to the difficulty of coordination between base stations in such scenarios, the channel reciprocity that can be used to reduce feedback overhead and the simpler RF front-end structure [1].…”