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Adaptive Receiver for Cooperative MIMO Communication Systems

An Adaptive single user receiver algorithm is demonstrated in this paper for a Cooperative Virtual MIMO network. The algorithm does not require Channel State Information and operates in a decentralized manner - that being the statistics at the receiver front end are enough to drive near-optimum single channel detection/estimation in multi-channel wireless environments. This yields an advantage in terms of computational resources and enables an autonomous Virtual Antenna Array Network be implemented for transmitting messages in areas with poor coverage or to increase spectral efficiency of the communication channel for high throughput uplink or downlink traffic. The same algorithm that drives interference rejection at the receiver is utilized in forming a metric for initializing the Cooperative Virtual Antenna MIMO Communication Channel. In this paper we show that our approach achieves an information spectral efficiency close to the maximum information rate upper bound while yielding polynomial complexity irrespective of the number of communication terminals initialized. It is shown that our approach is capable of a theoretical information spectral efficiency up to 48 bits/s/Hz at an SNR of 30dB and a BER performance of 10−4 at a SNR of about 30 dB for 64-QAM. The optimum MLSE receiver (Upper Bound) yields 5dB SNR gain over our approach with the caveat of being an NP-Hard problem. Conversely when our algorithm is compared with the MMSE detector, we observe a gain of 5dB SNR.