TY - GEN
T1 - A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels
AU - Yilmaz, Ferkan
AU - Alouini, Mohamed Slim
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/5
Y1 - 2018/7/5
N2 - In the literature, much attention has been devoted to the analysis of maximal-ratio combining (MRC) whose diversity branches are subjected to the balanced noise levels. However, this paper considers the noise imbalanced MRC (NI-MRC), i.e., the multi-branch MRC whose diversity branches are together subjected to some significant imbalance of noise levels due to the estimation error of the noise power knowledges used to maximize combining the signals from diversity branches. To the best of our knowledge, this paper proposes the first analytical approach in the literature to exactly evaluate the bit error rate (BER) of binary modulation schemes over either correlated or uncorrelated fading channels. Based on moment generating function (MGF), the proposed approach is exemplified for the well-known correlated fading conditions, and verified by computer based simulations to elucidate the effect of noise imbalance (NI) on the BER performance.
AB - In the literature, much attention has been devoted to the analysis of maximal-ratio combining (MRC) whose diversity branches are subjected to the balanced noise levels. However, this paper considers the noise imbalanced MRC (NI-MRC), i.e., the multi-branch MRC whose diversity branches are together subjected to some significant imbalance of noise levels due to the estimation error of the noise power knowledges used to maximize combining the signals from diversity branches. To the best of our knowledge, this paper proposes the first analytical approach in the literature to exactly evaluate the bit error rate (BER) of binary modulation schemes over either correlated or uncorrelated fading channels. Based on moment generating function (MGF), the proposed approach is exemplified for the well-known correlated fading conditions, and verified by computer based simulations to elucidate the effect of noise imbalance (NI) on the BER performance.
KW - Imperfect noise variance knowledge
KW - Maximal ratio combining
KW - Moment-generating function
KW - Noise imbalance
KW - Symbol error probability
UR - http://www.scopus.com/inward/record.url?scp=85050795556&partnerID=8YFLogxK
U2 - 10.1109/SIU.2018.8404435
DO - 10.1109/SIU.2018.8404435
M3 - Conference contribution
AN - SCOPUS:85050795556
T3 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
SP - 1
EP - 4
BT - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Y2 - 2 May 2018 through 5 May 2018
ER -