Author_Institution :
SpiderCloud Wireless, Inc., San Jose, CA, USA
Abstract :
The use of the millimeter (mm) wave spectrum for next generation (5G) mobile communication has gained significant attention recently. The small carrier wavelengths at mmwave frequencies enable synthesis of compact antenna arrays, providing beamforming gains that compensate the increased propagation losses. In this work, we investigate the feasibility of employing multiple antenna arrays (at the transmitter and/or receiver) to obtain diversity/multiplexing gains in mmwave systems, where each of the arrays is capable of beamforming independently. Considering a codebook-based beamforming system (the set of possible beamforming directions is fixed a priori, e.g., to facilitate limited feedback), we observe that the complexity of jointly optimizing the beamforming directions across the multiple arrays is highly prohibitive, even for very reasonable system parameters. To overcome this bottleneck, we develop reduced complexity algorithms for optimizing the choice of beamforming directions, premised on the sparse multipath structure of the mmwave channel. Specifically, we reduce the cardinality of the joint beamforming search space, by restricting attention to a small set of dominant candidate directions. To obtain the set of dominant directions, we develop two complementary approaches: 1) based on computation of a novel spatial power metric; a detailed analysis of this metric shows that, in the limit of large antenna arrays, the selected candidate directions approach the channel´s dominant angles of arrival and departure, and 2) precise estimation of the channel´s (long-term) dominant angles of arrival, exploiting the correlations of the signals received across the different receiver subarrays. Our methods enable a drastic reduction of the optimization search space (a factor of 100 reduction), while delivering close to optimal performance, thereby indicating the potential feasibility of achieving diversity and multiplexing gains in mmwave systems.
Keywords :
5G mobile communication; array signal processing; diversity reception; millimetre wave antenna arrays; multipath channels; multiplexing; optimisation; radio receivers; radio transmitters; codebook-based beamforming; compact antenna arrays; diversity-multiplexing gains; millimeter wave spectrum; millimeter wave systems; next generation 5G mobile communication; optimization search space; propagation loss; radio receiver; radio transmitter; receiver subarrays; sparse multipath structure; spatial power metric; Antenna arrays; Array signal processing; Complexity theory; Indexes; Optimization; Radio frequency; Vectors; Beamforming; MIMO; channel sparsity; direction estimation; hybrid precoding; limited feedback; millimeter wave;