TY - GEN
T1 - Randomized Distributed Spatial Multiplexing
T2 - 2013 47th Annual Conference on Information Sciences and Systems, CISS 2013
AU - Luo, Shu
AU - Liu, Pei
AU - Panwar, Shivendra
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - This paper explores the spatial multiplexing gain in a relay assisted distributed wireless network, where multiple relays, each with a single antenna, form a virtual antenna array to transmit to a receiver with multiple antennas. Using a transmission scheme called Randomized Distributed Spatial Multiplexing (RDSM), the transmission rate between the relays and the destination is boosted to a level that is several times higher than the rate that can be achieved through a single relay. As a result, the end-to-end data rate between a source and a destination can be greatly improved. Consequently, in a wireless network, where multiple sources compete for channel access, the overall system aggregated throughput is also improved. An opportunistic rate adaptation algorithm is adopted to achieve the optimal average end-to-end performance. Randomized signal processing at the relays fundamentally changes the way how cooperation is established. Instead of picking nodes with good links or fast paths, our algorithm picks a transmission mode (modulation, coding, and number of streams). Any node that correctly receives from the source can act as a relay and participate in forwarding. We present the performance of RDSM with practical modulation and channel coding, and evaluate its performance in a fully distributed wireless scenario.
AB - This paper explores the spatial multiplexing gain in a relay assisted distributed wireless network, where multiple relays, each with a single antenna, form a virtual antenna array to transmit to a receiver with multiple antennas. Using a transmission scheme called Randomized Distributed Spatial Multiplexing (RDSM), the transmission rate between the relays and the destination is boosted to a level that is several times higher than the rate that can be achieved through a single relay. As a result, the end-to-end data rate between a source and a destination can be greatly improved. Consequently, in a wireless network, where multiple sources compete for channel access, the overall system aggregated throughput is also improved. An opportunistic rate adaptation algorithm is adopted to achieve the optimal average end-to-end performance. Randomized signal processing at the relays fundamentally changes the way how cooperation is established. Instead of picking nodes with good links or fast paths, our algorithm picks a transmission mode (modulation, coding, and number of streams). Any node that correctly receives from the source can act as a relay and participate in forwarding. We present the performance of RDSM with practical modulation and channel coding, and evaluate its performance in a fully distributed wireless scenario.
KW - Cooperative Communications
KW - Randomized Distributed Spatial Multiplexing (RDSM)
KW - Virtual MIMO
UR - http://www.scopus.com/inward/record.url?scp=84881499371&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881499371&partnerID=8YFLogxK
U2 - 10.1109/CISS.2013.6552298
DO - 10.1109/CISS.2013.6552298
M3 - Conference contribution
AN - SCOPUS:84881499371
SN - 9781467352376
T3 - 2013 47th Annual Conference on Information Sciences and Systems, CISS 2013
BT - 2013 47th Annual Conference on Information Sciences and Systems, CISS 2013
Y2 - 20 March 2013 through 22 March 2013
ER -