Cross-layer congestion control and scheduling in multi-hop OFDMA wireless networks

Authors:
Pan Zhou;Guowang Miao;Benny Bing
Affiliations:
School of Electrical and Computer Engineering, Georgia of Institute Technology, Atlanta, GA;School of Electrical and Computer Engineering, Georgia of Institute Technology, Atlanta, GA;School of Electrical and Computer Engineering, Georgia of Institute Technology, Atlanta, GA
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 8
Cited 1

Optimization flow control—I: basic algorithm and convergence

IEEE/ACM Transactions on Networking (TON)
Fair end-to-end window-based congestion control

IEEE/ACM Transactions on Networking (TON)
Convex Optimization

Convex Optimization
Cross-layer rate control for end-to-end proportional fairness in wireless networks with random access

Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Cross-layer optimization for OFDM wireless networks-part II: algorithm development

IEEE Transactions on Wireless Communications
Optimal resource allocation in multi-hop OFDMA wireless networks with cooperative relay

IEEE Transactions on Wireless Communications - Part 2
Opportunistic beamforming using dumb antennas

IEEE Transactions on Information Theory
Balancing transport and physical Layers in wireless multihop networks: jointly optimal congestion control and power control

IEEE Journal on Selected Areas in Communications

Dynamic Spectrum Sharing for OFDMA-Based Multi-hop Cognitive Radio Networks with Priority

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we consider joint end-to-end congestion control and multiuser scheduling in multi-hop wireless networks, where orthogonal frequency-division multiple access (OFDMA) is the air interface. Compared to its single-channel counterpart, this problem is significantly more challenging because subchannel assignment and power allocation for all nodes and network traffic need to be jointly optimized. To avoid co-channel inference, we first consider an OFDMA subchannel separation problem in multi-hop communication scenarios. Then, we address this cross-layer optimization problem by decomposing it into two subproblems: a TCP layer congestion control for traffic allocation and a weighted scheduling for OFDMA subchannel assignment and power control. Observing that the scheduling for multiuser OFDMA in multi-hop wireless networks is inherently NP-hard, we propose a low-complexity algorithm that ensures a solution converging to the optimum. The performance of the algorithm is demonstrated through simulations.