The multi-carrier multi-access technique is widely adopt in future wirelesscommunication systems, such as IEEE 802.16m and 3GPP LTE-A. The channelresources allocation in multi-carrier multi-access channel, which can greatlyimprove the system throughput with QoS assurance, thus attracted much attentionfrom both academia and industry. There lacks, however, an analytic frameworkwith a comprehensive performance metric, such that it is difficult to fullyexploit the potentials of channel allocation. This paper will propose ananalytic coded fmatching framework, where the outage exponent region (OER) willbe defined as the performance metric. The OER determines the relationship ofthe outage performance among all of the users in the full SNR range, andconverges to the diversity-multiplexing region (DMR) when SNR tends toinfinity. To achieve the optimal OER and DMR, the random bipartite graph (RBG)approach, only depending on 1 bit CSI, will be proposed to formulate thisproblem. Based on the RBG formulation, the optimal frequency-domain codingbased maximum f-matching method is then proposed. By analyzing thecombinatorial structure of the RBG based coded f-matching with the help ofsaddlepoint approximation, the outage probability of each user, OER, and DMRwill be derived in closed-form formulas. It will be shown that all of the usersshare the total multiplexing gain according to their rate requirements, whileachieving the full frequency diversity, i.e., the optimal OER and DMR. Based onthe principle of parallel computations, the parallel vertices expansion &random rotation based Hopcroft-Karp (PVER2HK) algorithm, which enjoys alogarithmic polynomial complexity, will be proposed. The simulation resultswill not only verify the theoretical derivations, but also show the significantperformance gains.
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