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Downlink radio resource allocation in OFDMA spectrum sharing environment with partial channel state information

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Downlink radio resource allocation in OFDMA spectrum sharing environment with partial channel state information. / Mokari, Nader; Navaie, Keivan; Khoshkholgh, Mohammad G.

In: IEEE Transactions on Wireless Communications, Vol. 10, No. 10, 10.2011, p. 3482-3495.

Research output: Contribution to journalJournal article

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Mokari, N, Navaie, K & Khoshkholgh, MG 2011, 'Downlink radio resource allocation in OFDMA spectrum sharing environment with partial channel state information', IEEE Transactions on Wireless Communications, vol. 10, no. 10, pp. 3482-3495. https://doi.org/10.1109/TWC.2011.072511.110020

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Mokari, Nader ; Navaie, Keivan ; Khoshkholgh, Mohammad G. / Downlink radio resource allocation in OFDMA spectrum sharing environment with partial channel state information. In: IEEE Transactions on Wireless Communications. 2011 ; Vol. 10, No. 10. pp. 3482-3495.

Bibtex

@article{1f9ffcb248204186bb812808f76424a7,
title = "Downlink radio resource allocation in OFDMA spectrum sharing environment with partial channel state information",
abstract = "Here our focus is on the downlink radio resource allocation in underlay spectrum sharing based on OFDMA technology. Both continuous and discrete rate strategies are investigated. We consider the practical case in which for the wireless channel between the secondary base station and secondary users only partial channel state information (CSI) is available at the secondary base station. We formulate the resource allocation problem in the secondary network as an optimization problem in which the objective is to maximize the secondary users weighted sum rate. Two main constraints at the secondary base station are the maximum total transmission power, and the primary service collision probabilities. The only available a priori information is the channel distribution information (CDI) for the channel between the secondary base station and the primary receivers. Since the optimal radio resource allocation is non convex we utilize dual optimization method to obtain suboptimal solutions. The computational complexity due to the constraints in the original radio resource allocation is then reduced by exploiting system specifications and substituting the original constraints with the equivalent constraints on the transmission power and rate. Simulations studies are conducted to investigate the impact of the different system parameters. We also compare the proposed algorithm with the conventional radio resource allocation and show that by the proposed algorithm we are able to enforce the collision probability constraint in the primary service which in return results in a slight decreasing in the sum rate of the secondary system. Furthermore, we show that the proposed schemes are able to keep the outage probability imposed by imperfect CSI below a given threshold.",
keywords = "Channel state information, dual optimization, OFDMA, radio resource allocation, spectrum sharing, COGNITIVE RADIO, BROADCAST CHANNELS, POWER ALLOCATION, MULTIUSER OFDM, NETWORKS, CAPACITY, UNDERLAY, SYSTEMS, ACCESS, TRANSMISSION",
author = "Nader Mokari and Keivan Navaie and Khoshkholgh, {Mohammad G.}",
year = "2011",
month = oct
doi = "10.1109/TWC.2011.072511.110020",
language = "English",
volume = "10",
pages = "3482--3495",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Downlink radio resource allocation in OFDMA spectrum sharing environment with partial channel state information

AU - Mokari, Nader

AU - Navaie, Keivan

AU - Khoshkholgh, Mohammad G.

PY - 2011/10

Y1 - 2011/10

N2 - Here our focus is on the downlink radio resource allocation in underlay spectrum sharing based on OFDMA technology. Both continuous and discrete rate strategies are investigated. We consider the practical case in which for the wireless channel between the secondary base station and secondary users only partial channel state information (CSI) is available at the secondary base station. We formulate the resource allocation problem in the secondary network as an optimization problem in which the objective is to maximize the secondary users weighted sum rate. Two main constraints at the secondary base station are the maximum total transmission power, and the primary service collision probabilities. The only available a priori information is the channel distribution information (CDI) for the channel between the secondary base station and the primary receivers. Since the optimal radio resource allocation is non convex we utilize dual optimization method to obtain suboptimal solutions. The computational complexity due to the constraints in the original radio resource allocation is then reduced by exploiting system specifications and substituting the original constraints with the equivalent constraints on the transmission power and rate. Simulations studies are conducted to investigate the impact of the different system parameters. We also compare the proposed algorithm with the conventional radio resource allocation and show that by the proposed algorithm we are able to enforce the collision probability constraint in the primary service which in return results in a slight decreasing in the sum rate of the secondary system. Furthermore, we show that the proposed schemes are able to keep the outage probability imposed by imperfect CSI below a given threshold.

AB - Here our focus is on the downlink radio resource allocation in underlay spectrum sharing based on OFDMA technology. Both continuous and discrete rate strategies are investigated. We consider the practical case in which for the wireless channel between the secondary base station and secondary users only partial channel state information (CSI) is available at the secondary base station. We formulate the resource allocation problem in the secondary network as an optimization problem in which the objective is to maximize the secondary users weighted sum rate. Two main constraints at the secondary base station are the maximum total transmission power, and the primary service collision probabilities. The only available a priori information is the channel distribution information (CDI) for the channel between the secondary base station and the primary receivers. Since the optimal radio resource allocation is non convex we utilize dual optimization method to obtain suboptimal solutions. The computational complexity due to the constraints in the original radio resource allocation is then reduced by exploiting system specifications and substituting the original constraints with the equivalent constraints on the transmission power and rate. Simulations studies are conducted to investigate the impact of the different system parameters. We also compare the proposed algorithm with the conventional radio resource allocation and show that by the proposed algorithm we are able to enforce the collision probability constraint in the primary service which in return results in a slight decreasing in the sum rate of the secondary system. Furthermore, we show that the proposed schemes are able to keep the outage probability imposed by imperfect CSI below a given threshold.

KW - Channel state information

KW - dual optimization

KW - OFDMA

KW - radio resource allocation

KW - spectrum sharing

KW - COGNITIVE RADIO

KW - BROADCAST CHANNELS

KW - POWER ALLOCATION

KW - MULTIUSER OFDM

KW - NETWORKS

KW - CAPACITY

KW - UNDERLAY

KW - SYSTEMS

KW - ACCESS

KW - TRANSMISSION

U2 - 10.1109/TWC.2011.072511.110020

DO - 10.1109/TWC.2011.072511.110020

M3 - Journal article

VL - 10

SP - 3482

EP - 3495

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 10

ER -