HiHTP: A custom-tailored hierarchical sparse detector for massive MTC
Wunder G, Roth I, Fritschek R, Eisert J (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2017-October
Pages Range: 1929-1934
Conference Proceedings Title: Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Event location: Pacific Grove, CA, USA
ISBN: 9781538618233
DOI: 10.1109/ACSSC.2017.8335701
Abstract
Recently, the Hierarchical Hard Thresholding Pursuit (HiHTP) algorithm was introduced to optimally exploit the hierarchical sparsity structure in joint user activity and channel detection problems, occurring e.g. in 5G massive Massive Machine-type Communications (mMTC) scenarios. In this paper, we take a closer look at the performance of HiHTP for user activity detection under noise and relate its performance to the classical block correlation detector with orthogonal signatures. More specifically, we derive a lower bound for the diversity order of HiHTP and provide explicit and easy to handle formulas for numerical evaluations and (5G) system designs. Furthermore, we surprisingly find that in specific parameter settings nonorthogonal pilots, i.e. pilots of which shifted versions actually interfere with each other, outperform the block correlation detector, which is optimal in the non-sparse situation. Finally, we evaluate our findings with numerical examples.
Involved external institutions
Germany (DE)How to cite
APA:
Wunder, G., Roth, I., Fritschek, R., & Eisert, J. (2018). HiHTP: A custom-tailored hierarchical sparse detector for massive MTC. In Michael B. Matthews (Eds.), Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 (pp. 1929-1934). Pacific Grove, CA, USA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Wunder, Gerhard, et al. "HiHTP: A custom-tailored hierarchical sparse detector for massive MTC." Proceedings of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, Pacific Grove, CA, USA Ed. Michael B. Matthews, Institute of Electrical and Electronics Engineers Inc., 2018. 1929-1934.
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