Title :
Message Passing Resource Allocation for the Uplink of Multi-Carrier Multi-Format Systems
Author :
Abrardo, Andrea ; Belleschi, Marco ; Detti, Paolo ; Moretti, Marco
Author_Institution :
Dept. of Inf. Eng., Univ. of Siena, Siena, Italy
fDate :
1/1/2012 12:00:00 AM
Abstract :
We propose two novel distributed resource allocation (RA) schemes for the uplink of a cellular multi-carrier multi-format system based on the message passing (MP) technique. In the proposed approaches each transmitter iteratively sends and receives information messages to/from the base station with the goal of achieving an optimal RA strategy. The exchanged messages are the solution of small distributed allocation problems. Hence, despite the NP-hardness of the original RA problem, they distribute the computational effort in the cell among all the transmitters and the base station. Specifically, the first algorithm combines MP with a dynamic programming formula solved at each step, while the second method initially solves to optimality a simplified single-format RA via MP, and eventually performs format allocation to satisfy the rate constraints. Compared to alternatives, numerical results assess the validity of MP-based schemes both in terms of efficiency and complexity.
Keywords :
cellular radio; computational complexity; dynamic programming; message passing; resource allocation; NP-hardness; base station; cellular multicarrier multiformat system; distributed resource allocation schemes; dynamic programming formula; format allocation; information messages; message passing resource allocation; optimal RA strategy; rate constraints; simplified single-format RA; uplink; Bandwidth; Complexity theory; Message passing; Minimization; OFDM; Resource management; Wireless communication; LTE-Advanced (LTE-A); Message passing; NP-hard problems; distributed optimization; link adaptation; min-sum algorithms; uplink OFDMA resource allocation;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2011.112311.101766