DocumentCode :
150128
Title :
Multiplicative superposition signaling based detection schemes for heterogeneous-speed users
Author :
Caihong Yu ; Li Hao
Author_Institution :
Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
fYear :
2014
fDate :
14-15 Sept. 2014
Firstpage :
1
Lastpage :
5
Abstract :
In a general cellular network, different users have different abilities to estimate the channel when it changes due to vehicle movements. On the two-user multiple-input-multiple-output (MIMO) broadcast channel, when one user with low mobility (called the static user) knows the exact channel state information (CSI) whereas the other user with high mobility (called the dynamic user) does not know CSI, a novel multiplicative superposition signaling scheme could obtain additive degree of freedom. Based on this novel signaling scheme, some detection schemes of the static user and the dynamic user are investigated in this paper. The signal desired by the dynamic user applies unitary space-time code and the signal desired by the static user is designed as the symbol matrix with the full spatial multiplexing, each element of which is a multiple phase-shift keying (PSK) or quadrature amplitude modulation (QAM) symbol. The final transmitted signal is the product of these two signals. At the dynamic user, a non-coherent maximum likelihood detection (NCMLD) is used. At the static user, we propose two hard detection schemes based on NCMLD-ML and NCMLD-Minimum-Mean-Square-Error (MMSE), respectively. To avoid the error-propagation problem in the hard detection schemes, we also propose a low-complexity soft detection scheme based on the conditional expectation and MMSE (CE-MMSE). Simulation results show that the NCMLD-ML scheme outperforms the NCMLD-MMSE scheme and CE-MMSE scheme. Furthermore, CE-MMSE scheme has a better error performance than NCMLD-MMSE in the low signal-to-noise ratio (SNR) region at the expense of higher complexity which is inconsiderable when it is compared with NCMLD-ML scheme.
Keywords :
MIMO communication; broadcast channels; cellular radio; channel estimation; computational complexity; least mean squares methods; matrix algebra; maximum likelihood detection; phase shift keying; quadrature amplitude modulation; space division multiplexing; space-time codes; CE-MMSE scheme; CSI; NCMLD minimum-mean-square-error; NCMLD-ML scheme; NCMLD-MMSE scheme; PSK; QAM symbol; channel estimation; channel state information; conditional expectation-MMSE scheme; dynamic user; error-propagation problem; full spatial multiplexing; general cellular network; hard detection scheme; heterogeneous-speed users; low-complexity soft detection scheme; multiple-phase-shift keying; multiplicative superposition signaling-based detection scheme; noncoherent maximum likelihood detection; quadrature amplitude modulation symbol; signaling scheme; static user; symbol matrix; two-user MIMO broadcast channel; two-user multiple-input-multiple-output broadcast channel; unitary space-time code; vehicle movements; Bit error rate; Channel estimation; Fading; MIMO; Receiving antennas; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Vehicular Communications (WiVeC), 2014 IEEE 6th International Symposium on
Conference_Location :
Vancouver, BC
Type :
conf
DOI :
10.1109/WIVEC.2014.6953253
Filename :
6953253
Link To Document :
بازگشت