NDLI: Training-Based Antenna Selection for PER Minimization: A POMDP Approach

Content Provider	IEEE Xplore Digital Library
Author	Padmanabhan, S. Stephen, R.G. Murthy, C.R. Coupechoux, M.
Copyright Year	1972
Abstract	This paper considers the problem of receive antenna selection (AS) in a multiple-antenna communication system having a single radio-frequency (RF) chain. The AS decisions are based on noisy channel estimates obtained using known pilot symbols embedded in the data packets. The goal here is to minimize the average packet error rate (PER) by exploiting the known temporal correlation of the channel. As the underlying channels are only partially observed using the pilot symbols, the problem of AS for PER minimization is cast into a partially observable Markov decision process (POMDP) framework. Under mild assumptions, the optimality of a myopic policy is established for the two-state channel case. Moreover, two heuristic AS schemes are proposed based on a weighted combination of the estimated channel states on the different antennas. These schemes utilize the continuous-valued received pilot symbols to make the AS decisions, and are shown to offer performance comparable to the POMDP approach, which requires one to quantize the channel and observations to a finite set of states. The performance improvement offered by the POMDP solution and the proposed heuristic solutions relative to existing AS training-based approaches is illustrated using Monte Carlo simulations.
Starting Page	3247
Ending Page	3260
Page Count	14
File Size	1599873
File Format	PDF
ISSN	00906778
Volume Number	63
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Receiving antennas Training Channel estimation Signal to noise ratio Markov processes finite state Markov chain Antenna selection POMDP myopic policy
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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