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

Department of Electronic Systems

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

4 Citations (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.

Original language	English
Title of host publication	2014 IEEE 79th Vehicular Technology Conference
Volume	79
Place of Publication	Seoul, Korea
Publisher	IEEE Press
Publication date	May 2014
Pages	1-5
ISBN (Electronic)	07400551
DOIs	https://doi.org/10.1109/VTCSpring.2014.7022820
Publication status	Published - May 2014
Event	2014 IEEE 79th Vehicular Technology Conference : VTC2014-Spring - Seoul, Korea, Republic of Duration: 18 May 2014 → 21 May 2014 http://www.ieeevtc.org/vtc2014spring/

Conference

Conference	2014 IEEE 79th Vehicular Technology Conference
Country/Territory	Korea, Republic of
City	Seoul
Period	18/05/2014 → 21/05/2014
Internet address	http://www.ieeevtc.org/vtc2014spring/

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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. in 2014 IEEE 79th Vehicular Technology Conference. vol. 79, IEEE Press, Seoul, Korea, pp. 1-5, 2014 IEEE 79th Vehicular Technology Conference , Seoul, Korea, Republic of, 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. Vol. 79 Seoul, Korea: IEEE Press, 2014. p. 1-5.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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

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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.

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DO - 10.1109/VTCSpring.2014.7022820

M3 - Article in proceeding

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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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