Joint Linear Receiver Design and Power Allocation Using Alternating Optimization Algorithms for Wireless Sensor Networks

• Published in: IEEE transactions on vehicular technology Vol. 61; no. 9; pp. 4129 - 4141
• Main Authors: Wang, T., de Lamare, R. C., Schmeink, A.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.2012; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Access methods and protocols, osi model; Allocations; Amplification; Applied sciences; Connection and protection apparatus; Constraints; Criteria; Electrical engineering. Electrical power engineering; Exact sciences and technology; Information systems; Linear receivers; Maximum sum-rate (MSR) criterion; minimum mean square error (MMSE) criterion; Neodymium; Networks; Optimization; power allocation; Radiocommunications; Receivers; Relays; Resource management; Sensors; Services and terminals of telecommunications; Studies; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Telemetry. Remote supervision. Telewarning. Remote control; Teleprocessing networks. Isdn; Transmitters. Receivers; Vectors; Wireless sensor networks; wireless sensor networks (WSNs); Performance evaluation; Maximum sum-rate (MSR) criterion; Relay; Bit error rate; Wireless telecommunication; Feedback regulation; Power allocation; Flexibility; Optimization; Remote sensing; Mean square error; Feedback; Routing protocols; Multistage circuit; Signal detection; Multistage method; Computer simulation; minimum mean square error (MMSE) criterion; wireless sensor networks (WSNs); Transmission protocol; Durability; Receiver; Algorithm; Computational complexity; Wireless network; Reliability; Sensor array; Comparative study
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2012.2212217

In this paper, we consider a two-hop wireless sensor network (WSN) with multiple relay nodes where the amplify-and-forward (AF) scheme is employed. We present strategies to design jointly linear receivers and the power-allocation parameters via an alternating optimization approach subject to global, individual, and neighbor-based power constraints. Two design criteria are considered: The first criterion minimizes the mean-square error (MSE), and the second criterion maximizes the sum-rate (SR) of the WSN. We derive constrained minimum mean-square error (MMSE) and constrained maximum sum-rate (MSR) expressions for the linear receivers and the power-allocation parameters that contain the optimal complex amplification coefficients for each relay node. Computer simulations show good performance of our proposed methods in terms of bit error rate (BER) or SR compared with the method with equal power allocation and to a two-stage power-allocation technique. Furthermore, the methods with neighbor-based constraints bring flexibility to balance the performance against the computational complexity and the need for feedback information, which is desirable for WSNs to extend their lifetime.