PMID- 37687968
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230911
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 23
IP  - 17
DP  - 2023 Aug 29
TI  - Spectrum Allocation and User Scheduling Based on Combinatorial Multi-Armed Bandit 
      for 5G Massive MIMO.
LID - 10.3390/s23177512 [doi]
LID - 7512
AB  - As a key 5G technology, massive multiple-input multiple-output (MIMO) can 
      effectively improve system capacity and reduce latency. This paper proposes a 
      user scheduling and spectrum allocation method based on combinatorial multi-armed 
      bandit (CMAB) for a massive MIMO system. Compared with traditional methods, the 
      proposed CMAB-based method can avoid channel estimation for all users, 
      significantly reduce pilot overhead, and improve spectral efficiency. 
      Specifically, the proposed method is a two-stage method; in the first stage, we 
      transform the user scheduling problem into a CMAB problem, with each user being 
      referred to as a base arm and the energy of the channel being considered a 
      reward. A linear upper confidence bound (UCB) arm selection algorithm is 
      proposed. It is proved that the proposed user scheduling algorithm experiences 
      logarithmic regret over time. In the second stage, by grouping the statistical 
      channel state information (CSI), such that the statistical CSI of the users in 
      the angular domain in different groups is approximately orthogonal, we are able 
      to select one user in each group and allocate a subcarrier to the selected users, 
      so that the channels of users on each subcarrier are approximately orthogonal, 
      which can reduce the inter-user interference and improve the spectral efficiency. 
      The simulation results validate that the proposed method has a high spectral 
      efficiency.
FAU - Dou, Jian
AU  - Dou J
AD  - China Electric Power Research Institute, Beijing 100192, China.
FAU - Liu, Xuan
AU  - Liu X
AD  - China Electric Power Research Institute, Beijing 100192, China.
FAU - Qie, Shuang
AU  - Qie S
AD  - China Electric Power Research Institute, Beijing 100192, China.
FAU - Li, Jiayi
AU  - Li J
AD  - China Electric Power Research Institute, Beijing 100192, China.
FAU - Wang, Chaoliang
AU  - Wang C
AD  - State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311121, China.
LA  - eng
GR  - 5700-202255476A-2-0-KJ/State Grid Corporation of China Technology Project/
PT  - Journal Article
DEP - 20230829
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC10490558
OTO - NOTNLM
OT  - massive MIMO
OT  - multi-armed bandit
OT  - spectrum allocation
OT  - user scheduling
COIS- The authors declare no conflict of interest.
EDAT- 2023/09/09 11:46
MHDA- 2023/09/09 11:47
PMCR- 2023/08/29
CRDT- 2023/09/09 01:23
PHST- 2023/07/26 00:00 [received]
PHST- 2023/08/23 00:00 [revised]
PHST- 2023/08/28 00:00 [accepted]
PHST- 2023/09/09 11:47 [medline]
PHST- 2023/09/09 11:46 [pubmed]
PHST- 2023/09/09 01:23 [entrez]
PHST- 2023/08/29 00:00 [pmc-release]
AID - s23177512 [pii]
AID - sensors-23-07512 [pii]
AID - 10.3390/s23177512 [doi]
PST - epublish
SO  - Sensors (Basel). 2023 Aug 29;23(17):7512. doi: 10.3390/s23177512.