Comparing Theoretic Single-User and Multi-User Full-Dimension MIMO Data Throughputs in Realistic City-Wide LTE-A Deployments

Evaluating realistic performance gains of massive multi-user MIMO system in urban city deployments

“…In the current literature, there has not been any study where the level of improvement can be quantified in a citywide real-world network against standard LTE networks. From the study presented in [6] and [7], the large receive power imbalance between users in realistic networks results in ill-conditioned channel matrix, together with inter-user interference, limit MU-MIMO performance. Signal to Interference and Noise Ratio (SINR) values at the UEs are often too low to support higher spatial streams.…”

Massive MIMO real-time channel measurements and theoretic TDD downlink throughput predictions

“…This technique is fully described in [14] and the references therein, and was also used in [15] and [16]. Without sacrificing accuracy, the runtime of the RBIR simulations is many hundreds of times faster than full bit-level simulation.…”

“…In our system simulations, optimal Adaptive Modulation and Coding (AMC) is achieved through an exhaustive search; details of the algorithm can be found in [16], [17]. The expected throughput is then calculated using the PER and the peak error-free data rate (for the supported number of spatial streams and the chosen MCS mode).…”