Title :
Combined User Pairing and Spectrum Allocation for Multiuser SC-FDMA Transmission
Author :
Ruder, Michael A. ; Ding, Daiyong ; Dang, Uyen Ly ; Gerstacker, Wolfgang H.
Author_Institution :
Dept. of Mobile Commun., Univ. of Erlangen-Niirnberg, Erlangen, Germany
Abstract :
This paper proposes a strategy that combines user pairing and spectrum allocation for a virtual multiple-input multiple-output (V-MIMO) single-carrier frequency-division multiple access (SC-FDMA) transmission over intersymbol interference (ISI) channels. The users are equipped with a single antenna each, where always two users, composing one pair, transmit their data in the same time slot and frequency band. The receiver at the base station (BS) is assumed to have multiple antennas and separates the users of each pair with a multiuser equalizer. For this, linear minimum mean-squared error (MMSE) equalization and successive interference cancellation (SIC), respectively, are chosen. A solution for the combined optimization of user pairing and spectrum allocation is proposed and evaluated by simulations for a transmission in the uplink of E-UTRA Long Term Evolution (LTE). The simulation results show that the proposed algorithm yields significant gains compared to random user pairing and spectrum allocation. It is also shown that, despite its considerably lower complexity, the performance of the novel algorithm is very close to that of the optimum solution that can only be found by a very complex full search.
Keywords :
MIMO communication; antennas; frequency division multiple access; interference suppression; least mean squares methods; optimisation; BS; E-UTRA long term evolution; ISI channel; LTE; MMSE equalization; SC-FDMA transmission; SIC; V-MIMO; base station; combined user pairing; frequency band; intersymbol interference channel; linear minimum mean-squared error equalization; multiple antennas; multiuser SC-FDMA transmission; multiuser equalizer; optimization; single antenna; single-carrier frequency-division multiple access transmission; spectrum allocation; successive interference cancellation; virtual multiple-input multiple-output; Complexity theory; Equalizers; OFDM; Optimization; Receivers; Resource management; Silicon carbide;
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
DOI :
10.1109/icc.2011.5962572