An Efficient Rank Adaptation Algorithm for Cellular MIMO Systems with IRC Receivers

Nurul Huda Mahmood; Gilberto Berardinelli; Fernando Menezes Leitão Tavares; Mads Lauridsen; Preben Mogensen; Kari Pajukoski

doi:10.1109/VTCSpring.2014.7022820

An Efficient Rank Adaptation Algorithm for Cellular MIMO Systems with IRC Receivers

Nurul Huda Mahmood, Gilberto Berardinelli, Fernando Menezes Leitão Tavares, Mads Lauridsen, Preben Mogensen, Kari Pajukoski

Institut for Elektroniske Systemer

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

4 Citationer (Scopus)

Abstract

Multiple transmit and receive antennas introduce additional degrees of freedom, which can be used to increase the number of spatial channels between a transmitter-receiver pair. Alternately, the additional degrees of freedom can be used to improve the interference resilience property with the help of linear interference rejection combining (IRC) receivers. Typically, rank adaptation algorithms are aimed at balancing the trade-off between increasing the spatial gain, and improving the interference resilience property. In this paper, we propose an efficient and computationally effective rank adaptation algorithm based on an estimate of the mean signal-to-interference-plus-noise ratio (SINR) at an IRC receiver; wherein, we use results from random matrix theory to derive the expression for the mean post-IRC SINR in the presence of interferers with unequal powers. The performance of the proposed algorithm is analysed through system level simulations. The results are found to be comparable to the optimum performance.

Originalsprog	Engelsk
Titel	2014 IEEE 79th Vehicular Technology Conference
Vol/bind	79
Udgivelsessted	Seoul, Korea
Forlag	IEEE Press
Publikationsdato	maj 2014
Sider	1-5
ISBN (Elektronisk)	07400551
DOI	https://doi.org/10.1109/VTCSpring.2014.7022820
Status	Udgivet - maj 2014
Begivenhed	2014 IEEE 79th Vehicular Technology Conference : VTC2014-Spring - Seoul, Sydkorea Varighed: 18 maj 2014 → 21 maj 2014 http://www.ieeevtc.org/vtc2014spring/

Konference

Konference	2014 IEEE 79th Vehicular Technology Conference
Land/Område	Sydkorea
By	Seoul
Periode	18/05/2014 → 21/05/2014
Internetadresse	http://www.ieeevtc.org/vtc2014spring/

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10.1109/VTCSpring.2014.7022820

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@inproceedings{51fe729c55144536808ef2f26aa4e640,

title = "An Efficient Rank Adaptation Algorithm for Cellular MIMO Systems with IRC Receivers",

abstract = "Multiple transmit and receive antennas introduce additional degrees of freedom, which can be used to increase the number of spatial channels between a transmitter-receiver pair. Alternately, the additional degrees of freedom can be used to improve the interference resilience property with the help of linear interference rejection combining (IRC) receivers. Typically, rank adaptation algorithms are aimed at balancing the trade-off between increasing the spatial gain, and improving the interference resilience property. In this paper, we propose an efficient and computationally effective rank adaptation algorithm based on an estimate of the mean signal-to-interference-plus-noise ratio (SINR) at an IRC receiver; wherein, we use results from random matrix theory to derive the expression for the mean post-IRC SINR in the presence of interferers with unequal powers. The performance of the proposed algorithm is analysed through system level simulations. The results are found to be comparable to the optimum performance.",

author = "Mahmood, {Nurul Huda} and Gilberto Berardinelli and Tavares, {Fernando Menezes Leit{\~a}o} and Mads Lauridsen and Preben Mogensen and Kari Pajukoski",

year = "2014",

month = may,

doi = "10.1109/VTCSpring.2014.7022820",

language = "English",

volume = "79",

pages = "1--5",

booktitle = "2014 IEEE 79th Vehicular Technology Conference",

publisher = "IEEE Press",

note = "2014 IEEE 79th Vehicular Technology Conference : VTC2014-Spring, VTC2014-Spring ; Conference date: 18-05-2014 Through 21-05-2014",

url = "http://www.ieeevtc.org/vtc2014spring/",

}

Mahmood, NH, Berardinelli, G, Tavares, FML, Lauridsen, M, Mogensen, P & Pajukoski, K 2014, An Efficient Rank Adaptation Algorithm for Cellular MIMO Systems with IRC Receivers. i 2014 IEEE 79th Vehicular Technology Conference. bind 79, IEEE Press, Seoul, Korea, s. 1-5, 2014 IEEE 79th Vehicular Technology Conference , Seoul, Sydkorea, 18/05/2014. https://doi.org/10.1109/VTCSpring.2014.7022820

An Efficient Rank Adaptation Algorithm for Cellular MIMO Systems with IRC Receivers. / Mahmood, Nurul Huda; Berardinelli, Gilberto; Tavares, Fernando Menezes Leitão et al.
2014 IEEE 79th Vehicular Technology Conference. Bind 79 Seoul, Korea: IEEE Press, 2014. s. 1-5.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - An Efficient Rank Adaptation Algorithm for Cellular MIMO Systems with IRC Receivers

AU - Mahmood, Nurul Huda

AU - Berardinelli, Gilberto

AU - Tavares, Fernando Menezes Leitão

AU - Lauridsen, Mads

AU - Mogensen, Preben

AU - Pajukoski, Kari

PY - 2014/5

Y1 - 2014/5

N2 - Multiple transmit and receive antennas introduce additional degrees of freedom, which can be used to increase the number of spatial channels between a transmitter-receiver pair. Alternately, the additional degrees of freedom can be used to improve the interference resilience property with the help of linear interference rejection combining (IRC) receivers. Typically, rank adaptation algorithms are aimed at balancing the trade-off between increasing the spatial gain, and improving the interference resilience property. In this paper, we propose an efficient and computationally effective rank adaptation algorithm based on an estimate of the mean signal-to-interference-plus-noise ratio (SINR) at an IRC receiver; wherein, we use results from random matrix theory to derive the expression for the mean post-IRC SINR in the presence of interferers with unequal powers. The performance of the proposed algorithm is analysed through system level simulations. The results are found to be comparable to the optimum performance.

AB - Multiple transmit and receive antennas introduce additional degrees of freedom, which can be used to increase the number of spatial channels between a transmitter-receiver pair. Alternately, the additional degrees of freedom can be used to improve the interference resilience property with the help of linear interference rejection combining (IRC) receivers. Typically, rank adaptation algorithms are aimed at balancing the trade-off between increasing the spatial gain, and improving the interference resilience property. In this paper, we propose an efficient and computationally effective rank adaptation algorithm based on an estimate of the mean signal-to-interference-plus-noise ratio (SINR) at an IRC receiver; wherein, we use results from random matrix theory to derive the expression for the mean post-IRC SINR in the presence of interferers with unequal powers. The performance of the proposed algorithm is analysed through system level simulations. The results are found to be comparable to the optimum performance.

U2 - 10.1109/VTCSpring.2014.7022820

DO - 10.1109/VTCSpring.2014.7022820

M3 - Article in proceeding

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EP - 5

BT - 2014 IEEE 79th Vehicular Technology Conference

PB - IEEE Press

CY - Seoul, Korea

T2 - 2014 IEEE 79th Vehicular Technology Conference

Y2 - 18 May 2014 through 21 May 2014

ER -

An Efficient Rank Adaptation Algorithm for Cellular MIMO Systems with IRC Receivers

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