A massive MIMO terminal concept based on small‐size multi‐mode antennas

Hoeher, Peter Adam; Doose, Niklas

doi:10.1002/ett.2934

Cited by 27 publications

(34 citation statements)

References 17 publications

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“…In order to meet recent requirements of designing large-scale MIMO wireless communication systems, conformal antenna technology enables the development of compact antenna arrays [29,30]. Moreover, to create high-capacity MMW-MIMO systems, conformal antenna structures can be integrated with modern beam-switching technology, resulting in a data rate of several gigabytes.…”

Section: State-of-the-art Antennasmentioning

confidence: 99%

State-of-the-Art Antenna Technology for Cloud Radio Access Networks (C-RANs)

Sethi¹,

Alfakhri²,

Ashraf³

et al. 2017

Cloud Computing - Architecture and Applications

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The cloud radio access network (C-RAN) is one of the most efficient, low-cost, and energy-efficient radio access techniques proposed as a potential candidate for the implementation of next-generation (NGN) mobile base stations (BSs). A high-performance C-RAN requires an exceptional broadband radio frequency (RF) front end that cannot be guaranteed without remarkable antenna elements. In response, we present state-of-theart antenna elements that are potential candidates for the implementation of the C-RAN's RF front end. We present an overview of C-RAN technology and different types of planar antennas operating at the future proposed fifth-generation (5G) bands that may include the following: (i) ultra-wide band (UWB) (3-12 GHz), (ii) 28/38 GHz, and (iii) 60-GHz radio. Further, we propose different planar antennas suitable for the implementation of C-RAN systems. We design, simulate, and optimize the proposed antennas according to the desired specifications covering the required frequency bands. The key design parameters are calculated, analyzed, and discussed. In our research work, the proposed antennas are lightweight, low-cost, and easy to integrate with other microwave and millimeter-wave (MMW) circuits. We also consider different implementation strategies that can be helpful in the execution of large-scale multiple-input multiple-output (MIMO) networks.

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Section: State-of-the-art Antennasmentioning

confidence: 99%

State-of-the-Art Antenna Technology for Cloud Radio Access Networks (C-RANs)

Sethi¹,

Alfakhri²,

Ashraf³

et al. 2017

Cloud Computing - Architecture and Applications

View full text Add to dashboard Cite

show abstract

“…Massive multiple‐input multiple‐output (MIMO) is an attractive technology for fifth‐generation wireless communication . By using a huge number of antennas at the base station (BS), to serve multiple users in the cell using the same resource block, it provides high diversity and multiplexing gains in both the downlink and uplink directions .…”

Section: Introductionmentioning

confidence: 99%

“…This problem, known as pilot contamination, is the major problem that limits the performance of massive MIMO systems. ()…”

Section: Introductionmentioning

confidence: 99%

“…Massive multiple-input multiple-output (MIMO) is an attractive technology for fifth-generation wireless communication. [1][2][3][4] By using a huge number of antennas at the base station (BS), to serve multiple users in the cell using the same resource block, it provides high diversity and multiplexing gains in both the downlink and uplink directions. [5][6][7][8] However, to ensure these advantages, channel estimation of all links between the BS and all active users in the cell is necessary at the BS either through feedback signaling or channel reciprocity.…”

Section: Introductionmentioning

confidence: 99%

“…This problem, known as pilot contamination, is the major problem that limits the performance of massive MIMO systems. 4,7,9 Accordingly, various approaches have been proposed to mitigate the effect of pilot contamination in multicell time-division duplex systems. [10][11][12][13][14][15][16][17][18][19][20] In the work of Saxena et al, 10 pilot reuse and power control mechanisms are proposed to mitigate pilot contamination.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Channel zooming for the mitigation of pilot contamination in massive MIMO

Boudaya

Kammoun

Siala

2018

Trans Emerging Tel Tech

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Massive multiple‐input multiple‐output is an attractive technology that aims to ameliorate both the energy and the spectrum efficiencies of fifth‐generation cellular networks. The main problem that limits the performance of a massive multiple‐input multiple‐output system is pilot contamination, which happens due to the limited number of orthogonal pilot sequences. In this paper, we assume that each cell is assigned a set of orthogonal pilot sequences and that these same pilot sequences are reused in other cells. Consequently, the contamination comes only from users in other cells, so that it is less powerful than an active user in the cell of interest. We propose a novel iterative algorithm to ensure the mitigation of the pilot contamination effect. This algorithm, dubbed as the “channel zooming algorithm”, is able to zoom through iterations on the signal of the strongest user by taking advantage of the difference in space signatures and transmitted data sequences. Moreover, we derive an analytical expression of the bit error probability, resulting after a large number of iterations of the proposed algorithm. The analytical results developed in our work are confirmed by simulation results.

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Low‐complexity soft‐output MIMO uplink detection for large systems iterative detection and decoding

Pereira

Sampaio‐Neto

2018

Trans Emerging Tel Tech

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Iterative detection and decoding techniques, based on the turbo principle, have been proposed in the literature to achieve near‐capacity on both single‐ and multiple‐antenna fading communication systems. In the multiple‐input–multiple‐output case, when a very large system is considered, one major issue is the overall system complexity. Here, we propose an iterative detection and decoding scheme for the uplink of coded multiple‐input–multiple‐output systems that replaces the exponential complexity maximum a posteriori detector by an approximate maximum a posteriori low‐complexity detector that uses a simple hard‐output inner detector at the first iteration followed by parallel interference cancelation and filtering matched to the channel coefficient matrix that is estimated with the aid of orthogonal pilot transmission. From the second iteration onward, the inner hard‐output detector is replaced by the results from the previous iteration. Simulation results demonstrate that the proposed strategy presents good bit‐error‐rate performance with low computational complexity, measured by the average number of floating‐point operations per message bit.

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A massive MIMO terminal concept based on small‐size multi‐mode antennas

Cited by 27 publications

References 17 publications

State-of-the-Art Antenna Technology for Cloud Radio Access Networks (C-RANs)

State-of-the-Art Antenna Technology for Cloud Radio Access Networks (C-RANs)

Channel zooming for the mitigation of pilot contamination in massive MIMO

Low‐complexity soft‐output MIMO uplink detection for large systems iterative detection and decoding

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