Resource Allocation for Massive M2M Communications in SCMA Network

In this paper, we apply access class barring (ACB) scheme and sparse code multiple access (SCMA) technique to massive machine type communication devices (MTCDs) communications, and propose a resource allocation scheme to increase the number of successful accesses. The proposed scheme employs ACB to control the number of massive random access (RA) attempts during preamble transmission in physical random access channel (PRACH), then allocates SCMA codebook resource in physical uplink shared channel (PUSCH) to those MTCDs with successful preamble transmission for data transmission. We formulate a joint PRACH and PUSCH resource allocation optimization problem. Finally, we propose a detailed algorithm to solve the optimization problem and optimize the length of SCMA codeword to maximize the number of successful accesses. Simulation results show that the proposed scheme can increase the number of successful accesses even in the overload scenario.

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