Optimizing Design Parameters for Relay-Aided Massive MIMO Systems

Data and pilot power controls scheme based on convolutional neural network for massive cellular system with underlaid device‐to‐device communications

“…2 On the other hand, massive multiple-input multiple-output (MIMO) systems are widely seen a significant technology for the cellular network. 3,4 Such systems may give lower transmitted power with straight forward signal processing and can increase the energy efficiency (EE) by several orders of magnitude.…”

Realistic hardware imperfections in communication system under Gaussian approximation model and generalised Gaussian model

“…The performance of these systems is limited by practical issues such as self‐interference (SI), hardware imperfections, signal processing complexity, propagation environment and channel estimation accuracy. In practice, hardware imperfections can cause some problems such as high power amplifier (HPA) non‐linearities, in‐phase/quadrature (I/Q) imbalance and phase noise [1–3].…”

“…This problem is also studied for amplify‐and‐forward (AF) relaying [7]. The impact of non‐ideal hardware on multi‐antenna systems is studied in [1]. In general, the performance of the communication system is degraded under non‐ideal hardware [7].…”

“…They also studied the residual distortions in the presence of different multiple‐input multiple‐output (MIMO) algorithms. A model for MIMO channel capacity under residual impairment at the transmitter side is analysed [1]. Some compensation algorithms are used to compensate the hardware problems, but there are still residual distortions.…”