Well-controlled resource allocation iscrucial for promoting the performance of multiple input multiple output orthogonalfrequency division multiplexing (MIMO-OFDM) systems. Recent studies havefocused primarily on traditional centralized systems or distributed antenna systems(DASs)
and usually assumed that one sub-carrier or sub-channel is exclusivelyoccupied by one user. To promote system performance
we propose a sub-channelshared resource allocation algorithm for multi-user distributed MIMO-OFDM systems. Each sub-channel can be shared by multipleusers in the algorithm
which is different from previous algorithms. Thealgorithm assumes that each user communicates with only two best ports in thesystem. On each sub-carrier
it allocates a sub-channel in descending order
which means one sub-channel that can minimize signal to leakage plus noise ratio(SLNR) loss is deleted until the number of remaining sub-channels is equal tothat of receiving antennas. If there are still sub-channels after all users areprocessed
these sub-channels will be allocated to users who can maximize theSLNR gain. Simulations show that compared to other algorithms
our proposedalgorithm has better capacity performance and enables the system to provideservice to more users under the same capacity constraints.
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references
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