Optimizing Beams and Bits: A Novel Approach for Massive MIMO Base-Station Design

Prasad, Narayan; Qi, Xiao-Feng; Gatherer, Alan

doi:10.1109/iccnc.2019.8685510

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…Similarly to the DL OFDM system model with low-resolution ADCs derived in the previous section, the UL ODFM system with low-resolution ADCs can be modeled as follows [40].…”

Section: B Uplink Odfm Communicationsmentioning

confidence: 99%

Base Station Antenna Selection for Low-Resolution ADC Systems

Choi¹,

Sung²,

Prasad³

et al. 2019

Preprint

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This paper investigates antenna selection at a base station with large antenna arrays and lowresolution analog-to-digital converters. For downlink transmit antenna selection for narrowband channels, we show (1) a selection criterion that maximizes sum rate with zero-forcing precoding equivalent to that of a perfect quantization system; (2) maximum sum rate increases with number of selected antennas;(3) derivation of the sum rate loss function from using a subset of antennas; and (4) unlike highresolution converter systems, sum rate loss reaches a maximum at a point of total transmit power and decreases beyond that point to converge to zero. For wideband orthogonal-frequency-divisionmultiplexing (OFDM) systems, our results hold when entire subcarriers share a common subset of antennas. For uplink receive antenna selection for narrowband channels, we (1) generalize a greedy antenna selection criterion to capture tradeoffs between channel gain and quantization error; (2) propose a quantization-aware fast antenna selection algorithm using the criterion; and (3) derive a lower bound on sum rate achieved by the proposed algorithm based on submodular functions. For wideband OFDM systems, we extend our algorithm and derive a lower bound on its sum rate. Simulation results validate theoretical analyses and show increases in sum rate over conventional algorithms.

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“…Similarly to the DL OFDM system model with low-resolution ADCs derived in the previous section, the UL ODFM system with low-resolution ADCs can be modeled as follows [40].…”

Section: B Uplink Odfm Communicationsmentioning

confidence: 99%

Base Station Antenna Selection for Low-Resolution ADC Systems

Choi¹,

Sung²,

Prasad³

et al. 2019

Preprint

Self Cite

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“…In this paper we present a novel way to tackle the problem of CE precoding for MIMO-OFDM transmission over a frequency selective channel. By rewriting the CE constraint in the frequency domain, in a similar way to [31], we reformulate the design problem. This enables an efficient solution by minimizing the Euclidean distance between the Fourier Transform of the received signal and the desired information symbols.…”

mentioning

confidence: 99%

“…• First, we employ a mathematical formulation of the MIMO-OFDM system, similar to the one proposed in [31], that enables the development of efficient algorithmic solutions. The aim of the formulation is to directly design in a nonlinear manner the time domain signal of the OFDM system such that to be of constant amplitude (CE).…”

mentioning

confidence: 99%

Constant Envelope MIMO-OFDM Precoding for Low Complexity Large-Scale Antenna Array Systems

Domouchtsidis

Tsinos

Chatzinotas

et al. 2020

IEEE Trans. Wireless Commun.

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Herein, we consider constant envelope precoding in a multiple-input multiple-output orthogonal frequency division multiplexing system (CE MIMO-OFDM) for frequency selective channels. In CE precoding the signals for each transmit antenna are designed to have constant amplitude regardless of the channel realization and the information symbols that must be conveyed to the users. This facilitates the use of power-efficient components, such as phase shifters (PS) and nonlinear power amplifiers, which are key for the feasibility of large-scale antenna array systems because of their low cost and power consumption. The CE precoding problem is firstly formulated as a least-squares problem with a unit modulus constraint and solved using an algorithm based on coordinate descent. The large number of optimization variables in the case of the MIMO-OFDM system motivates the search for a more computationally efficient solution.To tackle this, we reformulate the CE precoding design into an unconstrained nonlinear least-squares problem, which is solved efficiently using the Gauss-Newton algorithm. Simulation results underline the efficiency of the proposed solutions and show that they outperform state of the art techniques.

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A Decoupling Property in Low-Resolution MIMO-OFDM Systems and its Applications

Prasad

2020

2020 International Conference on COMmunication Systems &Amp; NETworkS (COMSNETS)

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Optimizing Beams and Bits: A Novel Approach for Massive MIMO Base-Station Design

Cited by 5 publications

References 27 publications

Base Station Antenna Selection for Low-Resolution ADC Systems

Base Station Antenna Selection for Low-Resolution ADC Systems

Constant Envelope MIMO-OFDM Precoding for Low Complexity Large-Scale Antenna Array Systems

A Decoupling Property in Low-Resolution MIMO-OFDM Systems and its Applications

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