User Activity Detection for Irregular Repetition Slotted Aloha Based MMTC
نویسندگان
چکیده
Irregular repetition slotted aloha (IRSA) is a grant-free random access protocol for massive machine-type communications, where large number of users sporadically send their data packets to base station (BS). IRSA completely distributed multiple protocol: in any given frame, small subset the users, i.e., active transmit replicas packet randomly selected resource elements (REs). The first step decoding process at BS detect which are each frame. To this end, novel Bayesian user activity detection (UAD) algorithm developed, exploits both sparsity as well underlying structure IRSA-based transmissions. Next, Cramer-Rao bound (CRB) on mean squared error channel estimation derived. It empirically shown that estimates obtained by-product proposed UAD achieves CRB. Then, signal interference plus noise ratio achieved by analyzed, accounting UAD, errors, and pilot contamination. impact these non-idealities throughput illustrated via Monte Carlo simulations. For example, system with 1500 10% being per length low 20 symbols sufficient accurate detection. In contrast, using classical compressed sensing approaches would require about 346 symbols. results also reveal crucial insights into dependence errors parameters such sequence, antennas BS, ratio.
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2022
ISSN: ['1053-587X', '1941-0476']
DOI: https://doi.org/10.1109/tsp.2022.3185891