DocumentCode
1624313
Title
Joint Scheduling and Power Allocation in Multi-Channel Access Point Networks under QoS Constraints
Author
Luo, Xiang ; Kar, Koushik
Author_Institution
Dept. of Electr., Rensselaer Polytech. Inst., Troy, NY
fYear
2008
Firstpage
2915
Lastpage
2920
Abstract
We consider the joint scheduling and power allocation problem for uplink transmissions in a multichannel access point network, and develop solutions to achieve the maximum system throughput under QoS constraints for each user. In this frame-based multi-channel OFDM system, our goal is to determine when in the frame and on which channels each user should transmit, and how the power of each user should be split across the channels it uses. Our goal is to maximize the overall effective data rate in the network, taking into account variations in channel rates across channels as well as users, while satisfying minimum rate constraints for each user. Although this problem is in general a complex non-linear mixed-integer optimization question, we show that the optimal schedule and power allocation can be computed in polynomial time under a high SINR approximation. Finally we propose and evaluate several simple heuristics for this problem, and show that some of these attain a performance that is very close to the optimum, at fairly low computational cost.
Keywords
OFDM modulation; WiMax; approximation theory; communication complexity; integer programming; multi-access systems; nonlinear programming; quality of service; radio links; scheduling; SINR approximation; WiMax; complex nonlinear mixed-integer optimization; computational cost; effective data rate; frame-based multichannel OFDM system; heuristics; joint scheduling; maximum system throughput; multichannel access point networks; polynomial time; power allocation; quality of service constraints; uplink transmissions; Bandwidth; Computer networks; OFDM; Optimal scheduling; Power engineering computing; Processor scheduling; Quality of service; Resource management; Signal to noise ratio; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2075-9
Electronic_ISBN
978-1-4244-2075-9
Type
conf
DOI
10.1109/ICC.2008.549
Filename
4533585
Link To Document