Publication Type:

Book Chapter


Advances in Signal and Data Processing, Springer Singapore, Singapore (2021)





The potential growth of communication medium and its associated devices are rapidly increasing day by day. A most powerful communication support with 5G network features is required nowadays to resolve all communication overheads. The traditional method of embryonic data transfer between base station and the user device follows channel allocation strategy, which is internally used for the maintenance of random entry of data packets resulted in poor scalable nature, poor traffic handling, latency, and so on. The efficiency of network technologies with 5G support suffers from major issues such as the network performance, collision, and delay that are needed to be concerned with. To combat this, the technique of decoding of two or more packets is followed; hence, the concept of NORA was proposed. In analysis of the existing NORA method, Zadoff–Chu sequence was used to obtain the performance of NORA in 5G which gave better performance yet, resulting in collisions. Keeping these issues in consideration, an efficient communication model called fair scheduling non-orthogonal random access (FSNORA) is proposed. In the proposed method, we have scrutinized NORA to improve the fairness of scheduling by using round-robin algorithm so as to make a contentionless system and improve the channel enhancement of 5G networks. Simulation results convey that there is an improvement in the access delay, success probability, throughput, collision probability, and the preamble transmissions in context with contention compared to the existing NORA method.

Cite this Research Publication

M. N. Purohit and Dr. T. K. Ramesh, “Fair Scheduling Non-orthogonal Random Access for 5G Networks”, in Advances in Signal and Data Processing, S. N. Merchant, Warhade, K., and Adhikari, D., Eds. Singapore: Springer Singapore, 2021.