Berthold Panzner

Deployment and implementation strategies for massive MIMO in 5G

Massive MIMO has emerged as one technology enabler for the next generation mobile communications 5G. The gains promised by massive MIMO are augured to overcome the capacity crunch in todays mobile networks and to pave the way for the ambitious targets of 5G. The challenge to realize massive MIMO for 5G is a successful and cost-efficient integration in the overall network concept. This work highlights deployment and implementation strategies for massive MIMO in the context of 5G indoor small cell scenarios. Different massive MIMO deployment scenarios are analyzed for a standard 3GPP indoor office scenario. In particular stand-alone MIMO at a single location, distributed MIMO without cooperation and network MIMO with full cooperation are investigated for varying array configurations. For the performance analysis of the different MIMO configurations the ratio of total transmit antennas to spatial streams is varied stepwise from equality to a factor of ten. For implementation of massive MIMO in 5G networks trends in beamforming techniques, mutually coupled subarrays, over the calibration procedure and estimated ADC performance in 2020 time-frame are discussed. Based on the debate the paper indicates how to integrate large-scale arrays in future 5G networks.

Integrating 3D Channel Model and Grid of Beams for 5G mMIMO System Level Simulations

Massive MIMO (mMIMO) antenna array and Grid of Beams (GoB) are one of the key components for 5G to achieve high spectral efficiency and coverage. System level simulations are necessary to optimally intergrate the components of 5G system. Simulations with mMIMO antenna array involve handling large matrices, which results in increased simulation time typically upto several days depending on the size of the antenna array. However, GoB are fixed wideband beams and the receiver sees only the effective channel which is a combination of the channel and the GoB. Therefore, for system level simulations it is sufficient to general only the effective channel. In this paper, we propose a simulation model to directly generate the effective channel based on the 3GPP 3D channel model. It is shown that for the simulation of urban macro cells scenario specified in TR 38.913, the computational effort can be reduced by a factor of 1000. Furthermore, simulations show that very high SINR and user throughput values are achievable through GoB.

System level modeling of in-band wireless backhaul for 5G mmW

Due to the availability of large contiguous bands in excess of several gigahertz in the millimeter wave spectrum, millimeter wave communications will play a key role in 5G - the next generation mobile networks. The applicability of simple air interfaces without the need for complex techniques for optimized spectrum utilization make mmW carrier frequencies a preferred solution to cope with the huge traffic demand. The smaller wavelength enables usage of large antenna arrays supporting strong beamforming gains that compensate for the higher path loss at mmW frequencies and thus allow for a deployment of cellular access networks in dense urban outdoor scenarios. This work focuses on a real-time software demo of a 5G mmW network in a Chicago model operating at 73 GHz. The propagation effects and implemented channel model is based on measurements performed at 73 GHz. The 5G demo illustrates the dynamic cell re-routing caused by terminal and scatterer mobility in a 3D view of the dense urban street scenario and computes all relevant key performance indicators derived using a detailed RRM model. The key feature of this 5G mmW demo is the modeling of in-band wireless backhaul techniques to foster realistic deployments of mmW access nodes including inexpensive wireless backhaul links to the egress point(s) within the same band.

MIMO and massive MIMO — Analysis for a local area scenario

The performance of centralized and distributed deployments of massive MIMO in an office building is analyzed both with and without cooperation. It is shown that using twice as many base station antennas as data streams provides most of the massive MIMO benefits. A simple transmission scheme achieves user fairness and operates close to a capacity upper bound. An example scheduling algorithm improves efficiency only for less than twice the number of base station antennas as data streams. The tradeoff between performance and cost for backhauling is evaluated by comparing cooperation of distributed base stations with a single central deployment.

In-band wireless backhaul for 5G millimeter wave cellular communications - interactive live demo

Due to the allocation of large contiguous bandwidths in excess of several gigahertz in the mmWave spectrum, mmWave communications plays a key role in the next generation cellular 5G networks. The applicability of simple air interfaces without the need for complex techniques for optimized spectrum utilization make mmWave carrier frequencies a preferred solution to cope with the huge traffic demand expected in 5G. With the small wavelength large antenna arrays become feasible with strong beamforming gains that easily compensate for the higher pathloss at mmW frequencies in the E-band and thus allow for a deployment of cellular access networks in dense urban outdoor scenarios. This real-time software demo shows a live interactive radio simulation of a 5G mmW network in downtown Chicago at 73GHz. The propagation effects and implemented channel model is aligned with real-world measurements. The 5G demo illustrates the dynamic cell (re-)selection triggered through terminal and scatterer mobility in a dense urban street scenario and computes all relevant key performance indicators derived by detailed RRM model. Key feature of this 5G mmW demo is the investigation of in-band wireless backhaul strategies to foster a realistic deployment of mmW access nodes including inexpensive wireless backhaul links to the egress point(s) within the same band in a typical urban scenario.