The unsourced MAC model was originally introduced to study the communication scenario in which a number of devices with low-complexity and low-energy wish to upload their respective messages to a base station. In the original problem formulation, all devices communicate using the same information rate. This may be very inefficient in certain wireless situations with varied channel conditions, power budgets, and payload requirements at the devices. This paper extends the original problem setting so as to allow for such variability. More specifically, we consider the scenario in which devices are clustered into two classes, possibly with different SNR levels or distinct payload requirements. In the cluster with higher power,devices transmit using a two-layer superposition modulation. In the cluster with lower energy, users transmit with the same base constellation as in the high power cluster. Within each layer, devices employ the same codebook. At the receiver, signal groupings are recovered using Approximate Message Passing(AMP), and proceeding from the high to the low power levels using successive interference cancellation (SIC). This layered architecture is implemented using Coded Compressed Sensing(CCS) within every grouping. An outer tree code is employed to stitch fragments together across times and layers, as needed.This pragmatic approach to heterogeneous CCS is validated numerically and design guidelines are identified.
翻译:无源MAC模型最初用于研究通信情景,即一些低复杂度和低能装置希望将各自信息上传到基地站的通信情景。在最初的问题配制中,所有装置都使用相同的信息速率进行通信。这在某些无线情况下可能效率非常低,频道条件、电力预算和装置的有效载荷要求各异。本文扩展原始问题设置,以便允许这种变异性。更具体地说,我们考虑将设备分组成两类,可能具有不同级别或不同的有效载荷要求。在具有较高功率的组群中,设备使用双层超定位传输。在能量组群中,用户使用与高功率组相同的基础星座进行传输。在每个层中,装置使用相同的代码簿。在接收器中,信号组群使用“近电路通过”(AMP)从高到低功率层,并使用连续的干扰取消(SICE)从高到低功率层。这种分层结构在每组内使用编码压缩的测量仪中采用。在高能组组中,需要使用外树条码的组合式设计方法,以便相互校准,在不同的层次上确定。