Minimum Energy per Bit of Unsourced Multiple Access with Location-Based Codebook Partitioning
This work addresses energy efficiency in wireless communication for users with varying path-loss conditions, but it is incremental as it builds on prior location-based strategies.
The paper tackles the problem of minimizing energy per bit in unsourced multiple access channels with heterogeneous path-loss by using location-based codebook partitioning, showing performance gains over conventional methods through numerical simulations and replica method analysis.
We derive finite-blocklength bounds on the minimum achievable energy per bit over a Gaussian unsourced multiple access (UMA) channel in the presence of heterogeneous path-loss conditions. We consider a setting in which the path loss is known to the users, which enables the use of location-based codebook partitioning [Çakmak et al., 2025]. Through numerical simulations and a large-system analysis based on the replica method, we quantify the performance gain of this strategy relative to the conventional UMA approach in which all users employ a common codebook.