Open AccessMajority based antenna selection schemes in downlink NOMA network with channel estimation errors and feedback delay
Author(s) -
Aldababsa Mahmoud,
Kucur Oğuz
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0937
Subject(s) - computer science , telecommunications link , antenna (radio) , maximal ratio combining , nakagami distribution , selection (genetic algorithm) , channel (broadcasting) , signal to noise ratio (imaging) , upper and lower bounds , mimo , diversity combining , joint (building) , monte carlo method , expression (computer science) , noma , transmit diversity , algorithm , diversity gain , fading , topology (electrical circuits) , telecommunications , mathematics , statistics , engineering , combinatorics , mathematical analysis , artificial intelligence , programming language , architectural engineering
This paper develops new suboptimal antenna selection (AS) schemes, majority based transmit antenna selection/maximal ratio combining (TAS‐maj/MRC) and joint transmit and receive antenna selection (JTRAS‐maj), in a multiple‐input multiple‐output non‐orthogonal multiple access (MIMO‐NOMA) network. The impact of the channel estimation errors (CEEs) and feedback delay (FD) on the performance of the network is studied in Nakagami‐m fading channels. First, the outage behavior of the network is investigated in a unified manner for the proposed AS schemes by deriving the closed‐form expression of the exact outage probability (OP). Next, in the presence of the CEEs and FD, the corresponding upper bound of the OP is obtained. The OP expression in high signal‐to‐noise ratio region is then provided to illustrate an error floor value in the presence of the CEEs and FD as well as diversity and array gains in the absence of the CEEs and FD. Finally, the analytical results in the presence and absence of the CEEs and FD are verified by the Monte Carlo simulations. The numerical results show that the proposed majority based AS schemes are superior to both max‐max‐max and max‐min‐max based AS schemes and the system performance is more sensitive to the CEE than FD.