Joint Optimization for Proportional Fairness in MIMO-OFDMA Relay-Enhanced Cellular Networks

Lin SU
Fuqiang LIU
Lijun ZU

IEICE TRANSACTIONS on Communications   Vol.E96-B    No.2    pp.500-503
Publication Date: 2013/02/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E96.B.500
Print ISSN: 0916-8516
Type of Manuscript: Special Section LETTER (Special Section on Quality of Communication Services Improving Quality of Life)
MIMO,  OFDMA,  relay,  cellular networks,  resource allocation,  

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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.