DocumentCode :
3471136
Title :
A transceive strategy for regenerative multi-antenna multi-way relaying
Author :
Amah, Aditya Umbu Tana ; Klein, Anja
Author_Institution :
Commun. Eng. Lab., Tech. Univ. Darmstadt, Darmstadt, Germany
fYear :
2009
fDate :
13-16 Dec. 2009
Firstpage :
352
Lastpage :
355
Abstract :
In this paper, firstly, we introduce regenerative multi-way relaying. A half-duplex multi-antenna relay station (RS) assists multiple nodes which want to communicate to each other. Each node has a message and wants to decode the messages from all other nodes. The number of communication phases is equal to the number of nodes, N, such that when N = 2, we have the well known two-way relaying. In the first phase, multiple access (MAC) phase, all nodes transmit simultaneously to the RS and the RS decodes the data streams of all nodes. In the following (N - 1) broadcast (BC) phases, the RS transmits to each node the intended (N - 1) data streams from the other (N -1) nodes. Secondly, we propose a transceive strategy at the RS which couples the MAC and the BC phases. The strategy exploits the information about the achievable MAC signal to interference and noise ratio at the RS which enables the RS to transmit with the achievable MAC rate in each BC phase. As the strategy involves transmit beamforming at the RS, we intend to minimise the power at the RS. Since the power minimisation problem is NP-hard, we rewrite the problem into a semidefinite optimisation to solve it in reasonable time.
Keywords :
computational complexity; multifrequency antennas; optimisation; radiocommunication; NP-hard; half-duplex multi-antenna relay station; multiple access phase; power minimisation problem; regenerative multi-antenna multiway relaying; semideflnite optimisation; transceive strategy; Array signal processing; Bidirectional control; Broadcasting; Conferences; Decoding; Interference; Phase noise; Regeneration engineering; Relays; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on
Conference_Location :
Aruba, Dutch Antilles
Print_ISBN :
978-1-4244-5179-1
Electronic_ISBN :
978-1-4244-5180-7
Type :
conf
DOI :
10.1109/CAMSAP.2009.5413258
Filename :
5413258
Link To Document :
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