Cooperative diversity protocols promise a new dimension of diversity thatprovides better communication by engaging nearby relays in forming a ‘virtual’ arrayof antennas for combined signal transmission. The current incremental cooperativediversity algorithms incrementally select best relay(s) to cooperate based on the channelquality reported by the relays. However, the algorithms do not take into considerationthe fact that the chosen best relay(s) at estimation may not always be best at the time ofcommunication. This is due to the time delay between the relay selection and itstransmission of signal (problem of outdated Channel Quality Information). To solve thisproblem, the concept of channel prediction is introduced and employed whereby eachrelay determines a predicted value of its Channel Quality Information (CQI) based onits past measurements. The paper therefore develops a novel predictive relay-selection(PRS) cooperative diversity model which seeks to improve Land Mobile Satellite (LMS)communication through prediction protocols. In the model, the chosen best relay is theone with the best predicted CQI value instead of the traditional outdated one.Performance analysis of outage probability and average bit error probability for thenewly developed PRS cooperation shows that the PRS cooperation is better than directand outdated CQI relay communication.
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