TY - JOUR
T1 - Exact Error Analysis and Energy Efficiency Optimization of Regenerative Relay Systems Under Spatial Correlation
AU - Fikadu, Mulugeta K.
AU - Sofotasios, Paschalis C.
AU - Cui, Qimei
AU - Karagiannidis, George K.
AU - Valkama, Mikko
N1 - Funding Information:
This work was supported in part by the Finnish Funding Agency for Technology and Innovation (Tekes) under Project "Energy-Efficient Wireless Networks and Connectivity of Devices-Systems (EWINE-S)," by the Academy of Finland under Project 251138 "Digitally-Enhanced RF for Cognitive Radio Devices" and Project 284694 "Fundamentals of Ultra Dense 5G Networks with Application to Machine Type Communication," and by the National Natural Science Foundation of China under Grant 61471058.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/7
Y1 - 2016/7
N2 - Energy efficiency and its optimization constitute critical tasks in the design of low-power wireless networks. This paper is devoted to the error rate analysis and energy efficiency optimization of regenerative cooperative networks in the presence of multipath fading under spatial correlation. To this end, exact and asymptotic analytic expressions are first derived for the symbol error rate (SER) of M-ary quadrature amplitude and M-ary phase-shift keying modulations (M-QAM and M-PSK), respectively, assuming a dual-hop decode-and-forward (DF) relay system, spatially correlated Nakagami-m multipath fading, and maximum ratio combining (MRC) at the destination. The derived expressions are subsequently employed in quantifying the energy consumption of the considered system, incorporating both transmit energy and the energy consumed by the transceiver circuits, and in deriving the optimal power allocation (OPA) formulation for minimizing energy consumption under certain quality-of-service (QoS) requirements. A relatively harsh path-loss (PL) model, which also accounts for realistic device-to-device communications, is adopted in numerical evaluations, and various useful insights are provided for the design of future low-energy wireless networks deployments. Indicatively, it is shown that, depending on the degree of spatial correlation, severity of fading, transmission distance, relay location, and power allocation strategy, target performance can be achieved with much overall energy reduction compared with direct transmission (DT) reference.
AB - Energy efficiency and its optimization constitute critical tasks in the design of low-power wireless networks. This paper is devoted to the error rate analysis and energy efficiency optimization of regenerative cooperative networks in the presence of multipath fading under spatial correlation. To this end, exact and asymptotic analytic expressions are first derived for the symbol error rate (SER) of M-ary quadrature amplitude and M-ary phase-shift keying modulations (M-QAM and M-PSK), respectively, assuming a dual-hop decode-and-forward (DF) relay system, spatially correlated Nakagami-m multipath fading, and maximum ratio combining (MRC) at the destination. The derived expressions are subsequently employed in quantifying the energy consumption of the considered system, incorporating both transmit energy and the energy consumed by the transceiver circuits, and in deriving the optimal power allocation (OPA) formulation for minimizing energy consumption under certain quality-of-service (QoS) requirements. A relatively harsh path-loss (PL) model, which also accounts for realistic device-to-device communications, is adopted in numerical evaluations, and various useful insights are provided for the design of future low-energy wireless networks deployments. Indicatively, it is shown that, depending on the degree of spatial correlation, severity of fading, transmission distance, relay location, and power allocation strategy, target performance can be achieved with much overall energy reduction compared with direct transmission (DT) reference.
KW - Asymptotic analysis
KW - cooperative communications
KW - energy efficiency
KW - error rate
KW - maximum ratio combining (MRC)
KW - multipath fading
KW - optimization
KW - power allocation
KW - quality of service (QoS)
KW - regenerative relaying
KW - spatial correlation
UR - http://www.scopus.com/inward/record.url?scp=84979243434&partnerID=8YFLogxK
U2 - 10.1109/TVT.2015.2464211
DO - 10.1109/TVT.2015.2464211
M3 - Article
AN - SCOPUS:84979243434
SN - 0018-9545
VL - 65
SP - 4973
EP - 4992
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 7
M1 - 7177117
ER -