Decentralized Multilevel Power Allocation for Random Access

Huifa LIN  Koji ISHIBASHI  Won-Yong SHIN  Takeo FUJII  

Publication
IEICE TRANSACTIONS on Communications   Vol.E98-B   No.10   pp.1978-1987
Publication Date: 2015/10/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E98.B.1978
Type of Manuscript: Special Section PAPER (Special Section on 5G Radio Access Networks―Part II: Multi-RAT Heterogeneous Networks and Smart Radio Technologies)
Category: 
Keyword: 
random access,  decentralized power allocation,  convex optimization,  multipacket reception (MPR),  successive interference cancellation (SIC),  machine-to-machine (M2M) communications,  

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Summary: 
In this paper, we introduce a distributed power allocation strategy for random access, that has the capabilities of multipacket reception (MPR) and successive interference cancellation (SIC). The proposed random access scheme is suitable for machine-to-machine (M2M) communication application in fifth-generation (5G) cellular networks. A previous study optimized the probability distribution for discrete transmission power levels, with implicit limitations on the successful decoding of at most two packets from a single collision. We formulate the optimization problem for the general case, where a base station can decode multiple packets from a single collision, and this depends only on the signal-to-interference-plus-noise ratio (SINR). We also propose a feasible suboptimal iterative per-level optimization process; we do this by introducing relationships among the different discrete power levels. Compared with the conventional power allocation scheme with MPR and SIC, our method significantly improves the system throughput; this is confirmed by computer simulations.