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K-best MIMO detection technique is the prominent method of simplifying the detection complexity in MIMO systems while maintaining BER performance comparable with the optimum maximum-likelihood (ML) detection technique. However, sorting the candidate nodes in the tree search of the conventional K-best detection can take a significant number of cycles which would reduce the achievable data rate of the...
In this paper, we propose a novel asynchronous media access control (MAC) protocol, opportunistic MAC (OMAC), for multiple input multiple output (MIMO) ad-hoc networks. The proposed solution is based on closed loop minimal feedback antenna selection diversity scheme and optimum receive combining. The use of antenna selection diversity contributes to a reduction in the feedback information and the...
Quantized feedback in multiple antenna systems has the potential to increase throughput and/or reduce probability of outage. However, current beamforming codebook designs lead to large implementation complexity of the channel quantizer. We propose a vector mapping scheme to construct beamforming codebooks from existing codebooks. We show that beamforming codebooks constructed via the proposed vector...
Spatial multiplexing multiple-input-multiple-output (MIMO) communication systems have recently drawn significant attention as a means to achieve tremendous gains in wireless system capacity and link reliability. The optimal hard decision detection for MIMO wireless systems is the maximum likelihood (ML) detector. ML detection is attractive due to its superior performance (in terms of BER). However,...
Quantized feedback in multiple antenna systems has potential to increase throughput or reduce probability of outage. In this paper, we present a method to generate quantization codebooks tailored for efficient implementation of beamforming- based MIMO transmissions. The proposed codebooks can reduce computational requirements significantly, making feasible an efficient architecture for a real-time...
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