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An optimized resource allocation scheme based on a multidimensional multiple-choice approach with reduced complexity

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An optimized resource allocation scheme based on a multidimensional multiple-choice approach with reduced complexity. / Bartoli, Giulio; Tassi, Andrea; Marabissi, Dania; Tarchi, Daniele; Fantacci, Romano.

2011 IEEE International Conference on Communications (ICC). New York : IEEE, 2011. p. 1-6 12138889 (IEEE International Conference on Communications).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Bartoli, G, Tassi, A, Marabissi, D, Tarchi, D & Fantacci, R 2011, An optimized resource allocation scheme based on a multidimensional multiple-choice approach with reduced complexity. in 2011 IEEE International Conference on Communications (ICC)., 12138889, IEEE International Conference on Communications, IEEE, New York, pp. 1-6, IEEE International Conference on Communications (ICC), Japan, 5/06/11. https://doi.org/10.1109/icc.2011.5962916

APA

Bartoli, G., Tassi, A., Marabissi, D., Tarchi, D., & Fantacci, R. (2011). An optimized resource allocation scheme based on a multidimensional multiple-choice approach with reduced complexity. In 2011 IEEE International Conference on Communications (ICC) (pp. 1-6). [12138889] (IEEE International Conference on Communications). IEEE. https://doi.org/10.1109/icc.2011.5962916

Vancouver

Bartoli G, Tassi A, Marabissi D, Tarchi D, Fantacci R. An optimized resource allocation scheme based on a multidimensional multiple-choice approach with reduced complexity. In 2011 IEEE International Conference on Communications (ICC). New York: IEEE. 2011. p. 1-6. 12138889. (IEEE International Conference on Communications). https://doi.org/10.1109/icc.2011.5962916

Author

Bartoli, Giulio ; Tassi, Andrea ; Marabissi, Dania ; Tarchi, Daniele ; Fantacci, Romano. / An optimized resource allocation scheme based on a multidimensional multiple-choice approach with reduced complexity. 2011 IEEE International Conference on Communications (ICC). New York : IEEE, 2011. pp. 1-6 (IEEE International Conference on Communications).

Bibtex

@inproceedings{dfb63ad3f4eb4c32a0773488535a3986,
title = "An optimized resource allocation scheme based on a multidimensional multiple-choice approach with reduced complexity",
abstract = "Long Term Evolution (LTE) is considered one of the main candidate to provide wireless broadband access to mobile users. Among main LTE characteristics, flexibility and efficiency can be guaranteed by resorting to suitable resource allocation schemes, in particular by adopting adaptive OFDM schemes. This paper proposes a novel solution to the sub-carrier allocation problem for the LTE downlink that takes into account the queues length, the QoS constraints and the channel conditions. Each user has different queues, one for each QoS class, and can transmit with a different data rate depending on the propagation conditions. The proposed algorithm defines a value of each possible sub-carrier assignment as a linear combination of all the inputs following a cross-layer approach. The problem is formulated as a Multidimensional Multiple-choice Knapsack Problem (MMKP) whose optimal solution is not feasible for our purposes due to the too long computing time required to find it. Hence, a novel efficient heuristic has been proposed to solve the problem. Results shows good performance of the proposed resource allocation scheme both in terms of throughput and delay while guarantees fairness among the users. Performance has been compared also with fixed allocation scheme and round robin.",
keywords = "KNAPSACK",
author = "Giulio Bartoli and Andrea Tassi and Dania Marabissi and Daniele Tarchi and Romano Fantacci",
year = "2011",
doi = "10.1109/icc.2011.5962916",
language = "English",
isbn = "9781612842325 ",
series = "IEEE International Conference on Communications",
publisher = "IEEE",
pages = "1--6",
booktitle = "2011 IEEE International Conference on Communications (ICC)",
note = "IEEE International Conference on Communications (ICC) ; Conference date: 05-06-2011 Through 09-06-2011",

}

RIS

TY - GEN

T1 - An optimized resource allocation scheme based on a multidimensional multiple-choice approach with reduced complexity

AU - Bartoli, Giulio

AU - Tassi, Andrea

AU - Marabissi, Dania

AU - Tarchi, Daniele

AU - Fantacci, Romano

PY - 2011

Y1 - 2011

N2 - Long Term Evolution (LTE) is considered one of the main candidate to provide wireless broadband access to mobile users. Among main LTE characteristics, flexibility and efficiency can be guaranteed by resorting to suitable resource allocation schemes, in particular by adopting adaptive OFDM schemes. This paper proposes a novel solution to the sub-carrier allocation problem for the LTE downlink that takes into account the queues length, the QoS constraints and the channel conditions. Each user has different queues, one for each QoS class, and can transmit with a different data rate depending on the propagation conditions. The proposed algorithm defines a value of each possible sub-carrier assignment as a linear combination of all the inputs following a cross-layer approach. The problem is formulated as a Multidimensional Multiple-choice Knapsack Problem (MMKP) whose optimal solution is not feasible for our purposes due to the too long computing time required to find it. Hence, a novel efficient heuristic has been proposed to solve the problem. Results shows good performance of the proposed resource allocation scheme both in terms of throughput and delay while guarantees fairness among the users. Performance has been compared also with fixed allocation scheme and round robin.

AB - Long Term Evolution (LTE) is considered one of the main candidate to provide wireless broadband access to mobile users. Among main LTE characteristics, flexibility and efficiency can be guaranteed by resorting to suitable resource allocation schemes, in particular by adopting adaptive OFDM schemes. This paper proposes a novel solution to the sub-carrier allocation problem for the LTE downlink that takes into account the queues length, the QoS constraints and the channel conditions. Each user has different queues, one for each QoS class, and can transmit with a different data rate depending on the propagation conditions. The proposed algorithm defines a value of each possible sub-carrier assignment as a linear combination of all the inputs following a cross-layer approach. The problem is formulated as a Multidimensional Multiple-choice Knapsack Problem (MMKP) whose optimal solution is not feasible for our purposes due to the too long computing time required to find it. Hence, a novel efficient heuristic has been proposed to solve the problem. Results shows good performance of the proposed resource allocation scheme both in terms of throughput and delay while guarantees fairness among the users. Performance has been compared also with fixed allocation scheme and round robin.

KW - KNAPSACK

U2 - 10.1109/icc.2011.5962916

DO - 10.1109/icc.2011.5962916

M3 - Conference contribution/Paper

SN - 9781612842325

T3 - IEEE International Conference on Communications

SP - 1

EP - 6

BT - 2011 IEEE International Conference on Communications (ICC)

PB - IEEE

CY - New York

T2 - IEEE International Conference on Communications (ICC)

Y2 - 5 June 2011 through 9 June 2011

ER -