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Distributed MIMO Precoding for In-Band Full-Duplex Wireless Backhaul in Heterogeneous Networks
- Source :
- IEEE Transactions on Vehicular Technology. 67:2064-2076
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- This paper investigates distributed MIMO precoding design to maximize the weighted sum rate in a heterogeneous network where the multiple input multiple output full-duplex (MIMO-FD) small cells reuse the downlink spectrum of the macro base-station (BS) to exchange backhaul information. The multi-antenna BS transmits signals to the cellular users using the dirty paper coding technique and the MIMO-FD small cells apply FD precoding structures to effectively balance the received signal, the self-interference (SI), and the co-channel interference (CCI). Since the optimization problem is shown to be nonconvex, obtaining the global optimum is challenging. A low-complexity solution with distributed implementation is introduced with proved convergence. By applying the successive convex approximation technique and the duality between the broadcast channel and the multiple access channel, the original nonconvex problem is decomposed into a sequence of convex subproblems, which can be solved analytically and separately at each small cell and macro BS with limited channel state information exchange. Simulation results confirm the convergence and demonstrate the benefits of the introduced algorithm. It is shown that the SI and CCI can be suppressed effectively with sufficient cancellation power and number of transmit antennas at the FD small cells.
- Subjects :
- Mathematical optimization
Engineering
Computer Networks and Communications
business.industry
MIMO
Aerospace Engineering
020302 automobile design & engineering
020206 networking & telecommunications
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Topology
Precoding
Backhaul (telecommunications)
0203 mechanical engineering
Channel state information
Automotive Engineering
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
Zero-forcing precoding
Dirty paper coding
Electrical and Electronic Engineering
business
Heterogeneous network
Computer Science::Information Theory
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 67
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi...........b55d777937c95d7f362e20d04ec4dd40