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Multiuser multiple-input multiple-output (MIMO) systems are a prime candidatefor use in massive connection density in machine-type communication (MTC)networks. One of the key challenges of MTC networks is to obtain accuratechannel state information (CSI) at the access point (AP) so that the spectralefficiency can be improved by enabling enhanced MIMO techniques. However,current communication mechanisms relying upon frequency division duplexing(FDD) might not fully support an enormous number of devices due to therate-constrained limited feedback and the time-consuming schedulingarchitectures. In this paper, we propose a user cooperation-based limitedfeedback strategy to support high connection density in massive MTC networks.In the proposed algorithm, two close-in users share the quantized version ofchannel information in order to improve channel feedback accuracy. Thecooperation process is performed without any transmitter interventions (i.e.,in a grant-free manner) to satisfy the low-latency requirement that is vitalfor MTC services. Moreover, based on the sum-rate throughput analysis, wedevelop an adaptive cooperation algorithm with a view toactivating/deactivating the user cooperation mode according to channel andnetwork conditions.

Limited Feedback Designs for Machine-type Communications Exploiting User Cooperation