Delay-sensitive area spectral efficiency optimization for uplink transmission in ultra-reliable and low-latency communications

Ultra-reliability and low-latency will be two topics of most concern in the wireless communication to realize the industrial automation during the next few decades. In this paper, we consider a uplink transmission model where massive machine-type-communication (MTC) devices aim to transmit their generated data to the BS under a strict Quality-of-Service (QoS) constraint on reliability and latency. Guaranteeing the strict constraints on transmission reliability and latency is the most significant thing we consider during the data transmission process. The achievable rate based on finite blocklength channel coding is adopted to characterized the decoding reliability at BS. We see the delay-sensitive area spectral efficiency (DASE) as a performance metric, and our goal is to find a optimal resource allocation policy to maximize the DASE while guaranteeing the strict QoS constraint on reliability. Numerical results show that the optimization strategy proposed in this paper can improve the DASE performance to a great extent than the optimization strategy which minimizes the total bandwidths allocated to devices.