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Performance of Symbol-Level Combining and Bit-Level Combining in MIMO Multiple ARQ Systems
- Source :
- IEEE Transactions on Communications. 64:1517-1528
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- The performance of symbol-level combining (SLC) and bit-level combining (BLC) in multiple-input multiple-output (MIMO) multiple automatic repeat request (ARQ) systems is investigated. Considering the zero-forcing (ZF) detection under the assumption of perfect packet elimination for SLC, the two performance characteristics of Chase combining (CC) with SLC and BLC in MIMO multiple ARQ (MMARQ) systems are analyzed. First, the performance of a packet with the highest hybrid ARQ (HARQ) round in CC-SLC-ZF is not affected by the HARQ rounds of the other packets simultaneously sent. Second, the performance gain of CC-SLC-ZF over CC-BLC-ZF for a packet can be improved when the packets with higher HARQ rounds are simultaneously sent. The latter indicates that CC-SLC can provide an improved error performance for the packets transmitted only once when there is at least one retransmitted packet simultaneously sent. Therefore, even though incremental redundancy (IR) provides a significantly larger coding gain than CC, CC-SLC can provide a better throughput than IR-BLC as the average block error rate of a retransmitted packet approaches zero. Simulation results verify that the analyses remain valid regardless of the detection scheme and the throughput of CC-SLC at the high SNR region can be better than IR-BLC in MMARQ systems.
- Subjects :
- Go-Back-N ARQ
Network packet
Computer science
Automatic repeat request
020208 electrical & electronic engineering
Real-time computing
MIMO
Hybrid automatic repeat request
020206 networking & telecommunications
Throughput
02 engineering and technology
Coding gain
Selective Repeat ARQ
Block Error Rate
0202 electrical engineering, electronic engineering, information engineering
Redundancy (engineering)
Electrical and Electronic Engineering
Algorithm
Subjects
Details
- ISSN :
- 00906778
- Volume :
- 64
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Communications
- Accession number :
- edsair.doi...........bd634665c60c626aadb4fbc62092cd68
- Full Text :
- https://doi.org/10.1109/tcomm.2016.2530712