Journal ArticleDOI
Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
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TLDR
A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval and a complete multi-cellular analysis yields a number of mathematically exact conclusions and points to a desirable direction towards which cellular wireless could evolve.Abstract:
A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval. Time-division duplex operation combined with reverse-link pilots enables the base station to estimate the reciprocal forward- and reverse-link channels. The conjugate-transpose of the channel estimates are used as a linear precoder and combiner respectively on the forward and reverse links. Propagation, unknown to both terminals and base station, comprises fast fading, log-normal shadow fading, and geometric attenuation. In the limit of an infinite number of antennas a complete multi-cellular analysis, which accounts for inter-cellular interference and the overhead and errors associated with channel-state information, yields a number of mathematically exact conclusions and points to a desirable direction towards which cellular wireless could evolve. In particular the effects of uncorrelated noise and fast fading vanish, throughput and the number of terminals are independent of the size of the cells, spectral efficiency is independent of bandwidth, and the required transmitted energy per bit vanishes. The only remaining impairment is inter-cellular interference caused by re-use of the pilot sequences in other cells (pilot contamination) which does not vanish with unlimited number of antennas.read more
Citations
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Journal ArticleDOI
Joint Spatial Division and Multiplexing for mm-Wave Channels
Ansuman Adhikary,Ebrahim Al Safadi,Mathew K. Samimi,Rui Wang,Giuseppe Caire,Theodore S. Rappaport,Andreas F. Molisch +6 more
TL;DR: In this paper, the problem of user grouping for two different objectives, namely, maximizing spatial multiplexing and maximizing total received power, was formulated in a graph-theoretic framework.
Journal ArticleDOI
Emerging technologies and research challenges for 5G wireless networks
TL;DR: In this paper, the authors identify several emerging technologies which will change and define the future generations of telecommunication standards and look at some of the research problems that these new technologies pose.
Journal ArticleDOI
Millimeter Wave Communication: A Comprehensive Survey
TL;DR: A taxonomy based on the layered model is presented and an extensive review on mmWave communications to point out the inadequacy of existing work and identify the future work.
Journal ArticleDOI
Joint Spatial Division and Multiplexing: Opportunistic Beamforming, User Grouping and Simplified Downlink Scheduling
TL;DR: JSDM with simple opportunistic user selection is able to achieve the same scaling law of the system capacity with full channel state information and a low-overhead probabilistic scheduling algorithm is proposed that selects the users at random with probabilities derived from large-system random matrix analysis.
Journal ArticleDOI
Massive MIMO and mmWave for 5G Wireless HetNet: Potential Benefits and Challenges
TL;DR: The potential benefits and challenges of the 5G wireless heterogeneous network (HetNet) that incorporates massive MIMO and mmWave technologies are discussed.
References
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Giuseppe Caire,Shlomo Shamai +1 more
TL;DR: Under certain mild conditions, this scheme is found to be throughput-wise asymptotically optimal for both high and low signal-to-noise ratio (SNR), and some numerical results are provided for the ergodic throughput of the simplified zero-forcing scheme in independent Rayleigh fading.
Book
Random Matrix Theory and Wireless Communications
Antonio M. Tulino,Sergio Verdu +1 more
TL;DR: A tutorial on random matrices is provided which provides an overview of the theory and brings together in one source the most significant results recently obtained.
Journal ArticleDOI
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
TL;DR: It is shown that the dirty paper achievable region achieves the sum-rate capacity of the MIMO BC by establishing that the maximum sum rate of this region equals an upper bound on the sum rate.