Abstract
In Sparse Code Multiple Access (SCMA), incoming user bits are directly mapped to the multi-dimensional codewords of pre-defined codebooks (CBs). Optimal CB resource assignment is requisite for maximal performance gain in the application of SCMA. This work investigates and develops a codebook resource assignment to macro users equipment's (MUEs) and small cell users equipment's (SUEs), in an uplink heterogeneous network (HetNet) system for optimal achievable sum rate. The MUEs and SUEs are grouped into different clusters with different power levels and the system formulated as sum rate maximization codebook assignment problem in the underlying small cells. Due to the prohibitive nature of the resultant mixed combinatory problem, we propose a sub-optimal but fast CB assignment algorithm based on the available channel state information (CSI). At the receiver, a joint successive interference cancellation (SIC) and a low complexity log-domain message passing algorithm (MPA) based multi-user detection (MUD) scheme is employed to reduce the cost of the system. We demonstrate through simulation results that the proposed resource allocation algorithm results in improved sum rate and link level performance for uplink SCMA HetNet based system.
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