Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/208629
Title: Low-Complexity Scheduling and Power Adaptation for Coordinated Cloud-Radio Access Networks
Authors: Ahmed Douik;Hayssam Dahrouj;Tareq Y. Al-Naffouri;Mohamed-Slim Alouini
Year: 2017
Publisher: IEEE
Abstract: In practical wireless systems, the successful implementation of resource allocation techniques strongly depends on the algorithmic complexity. Consider a cloud-radio access network (CRAN), where the central cloud is responsible for scheduling devices to the frames' radio resources blocks (RRBs) of the single-antenna base-stations (BSs), adjusting the transmit power levels, and for synchronizing the transmit frames across the connected BSs. Previous studies show that the jointly coordinated scheduling and power control problem in the considered CRAN can be solved using an approach that scales exponentially with the number of BSs, devices, and RRBs, which makes the practical implementation infeasible for reasonably sized networks. This letter instead proposes a low-complexity solution to the problem, under the constraints that each device cannot be served by more than one BS but can be served by multiple RRBs within each BS frame, and under the practical assumption that the channel is constant during the duration of each frame. The paper utilizes graph-theoretical based techniques and shows that constructing a single power control graph is sufficient to obtain the optimal solution with a complexity that is independent of the number of RRBs. Simulation results reveal the optimality of the proposed solution for slow-varying channels, and show that the solution performs near-optimal for highly correlated channels.
URI: http://localhost/handle/Hannan/208629
volume: 21
issue: 10
More Information: 2298,
2301
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7982775.pdf439.01 kBAdobe PDF
Title: Low-Complexity Scheduling and Power Adaptation for Coordinated Cloud-Radio Access Networks
Authors: Ahmed Douik;Hayssam Dahrouj;Tareq Y. Al-Naffouri;Mohamed-Slim Alouini
Year: 2017
Publisher: IEEE
Abstract: In practical wireless systems, the successful implementation of resource allocation techniques strongly depends on the algorithmic complexity. Consider a cloud-radio access network (CRAN), where the central cloud is responsible for scheduling devices to the frames' radio resources blocks (RRBs) of the single-antenna base-stations (BSs), adjusting the transmit power levels, and for synchronizing the transmit frames across the connected BSs. Previous studies show that the jointly coordinated scheduling and power control problem in the considered CRAN can be solved using an approach that scales exponentially with the number of BSs, devices, and RRBs, which makes the practical implementation infeasible for reasonably sized networks. This letter instead proposes a low-complexity solution to the problem, under the constraints that each device cannot be served by more than one BS but can be served by multiple RRBs within each BS frame, and under the practical assumption that the channel is constant during the duration of each frame. The paper utilizes graph-theoretical based techniques and shows that constructing a single power control graph is sufficient to obtain the optimal solution with a complexity that is independent of the number of RRBs. Simulation results reveal the optimality of the proposed solution for slow-varying channels, and show that the solution performs near-optimal for highly correlated channels.
URI: http://localhost/handle/Hannan/208629
volume: 21
issue: 10
More Information: 2298,
2301
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7982775.pdf439.01 kBAdobe PDF
Title: Low-Complexity Scheduling and Power Adaptation for Coordinated Cloud-Radio Access Networks
Authors: Ahmed Douik;Hayssam Dahrouj;Tareq Y. Al-Naffouri;Mohamed-Slim Alouini
Year: 2017
Publisher: IEEE
Abstract: In practical wireless systems, the successful implementation of resource allocation techniques strongly depends on the algorithmic complexity. Consider a cloud-radio access network (CRAN), where the central cloud is responsible for scheduling devices to the frames' radio resources blocks (RRBs) of the single-antenna base-stations (BSs), adjusting the transmit power levels, and for synchronizing the transmit frames across the connected BSs. Previous studies show that the jointly coordinated scheduling and power control problem in the considered CRAN can be solved using an approach that scales exponentially with the number of BSs, devices, and RRBs, which makes the practical implementation infeasible for reasonably sized networks. This letter instead proposes a low-complexity solution to the problem, under the constraints that each device cannot be served by more than one BS but can be served by multiple RRBs within each BS frame, and under the practical assumption that the channel is constant during the duration of each frame. The paper utilizes graph-theoretical based techniques and shows that constructing a single power control graph is sufficient to obtain the optimal solution with a complexity that is independent of the number of RRBs. Simulation results reveal the optimality of the proposed solution for slow-varying channels, and show that the solution performs near-optimal for highly correlated channels.
URI: http://localhost/handle/Hannan/208629
volume: 21
issue: 10
More Information: 2298,
2301
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7982775.pdf439.01 kBAdobe PDF