IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Special Section on Quality of Communication Services Improving Quality of Life
Joint Optimization for Proportional Fairness in MIMO-OFDMA Relay-Enhanced Cellular Networks
Ping WANGLin SUMin HUANGFuqiang LIULijun ZU
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2013 Volume E96.B Issue 2 Pages 500-503

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Abstract

This paper first formulates the optimal instantaneous resource allocation, including path selection, power allocation and subchannel scheduling with proportional fairness in MIMO, OFDMA and relay-enhanced network. The joint optimization problem is a NP-hard one with non-linear constraints. To simplify this problem, we first propose a water-filling method named ‘CP-AP w PF’ to adaptively allocate power only among transmitting antennas. Then, a modified iterative water-filling algorithm named ‘AP-AP w PF’ is proposed to achieve adaptive power allocation on each subchannel by using the Jensen's inequality. Simulation shows that ‘AP-AP w PF’ algorithm improves the throughput for cell-edge users, and achieve a tradeoff between maximizing system throughput and assuring individual QoS.

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© 2013 The Institute of Electronics, Information and Communication Engineers
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