Dual antenna cooperative diversity techniques

Wireless Sensor Networks can be used for a multitude of applications, but they all have in common that they need to send their collected data to some central processing node. If the sensors are located at a long distance from a processing node, the transmission might need the combined transmitter power of several sensors. In this chapter, the authors investigate the use of various cooperative diversity techniques in wireless sensor networks to increase the transmission range, minimize power consumption, and maximize network lifetime.

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Performance Investigation of Cooperative Diversity Techniques for 5G Wireless Networks

2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP) ◽

10.1109/icesip46348.2019.8938347 ◽

2019 ◽

Author(s):

V. Moulika ◽

Nizu Shahain J. ◽

L. Bhagyalakshmi

Keyword(s):

Wireless Networks ◽

Cooperative Diversity ◽

Diversity Techniques

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Distributed differential beamforming and power allocation for cooperative communication networks

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v10i6.pp5923-5931 ◽

2020 ◽

Vol 10 (6) ◽

pp. 5923

Author(s):

Samer Alabed ◽

Issam Maaz ◽

Mohammad Al-Rabayah

Keyword(s):

Power Allocation ◽

Communication Networks ◽

Cooperative Communication ◽

Cooperative Diversity ◽

Decoding Complexity ◽

Space Time Coding ◽

Diversity Techniques ◽

Receiving Antenna ◽

Wireless Relay ◽

Low Performance

Many coherent cooperative diversity techniques for wireless relay networks have recently been suggested to improve the overall system performance in terms of the achievable data rate or bit error rate (BER) with low decoding complexity and delay. However, these techniques require channel state information (CSI) at the transmitter side, at the receiver side, or at both sides. Therefore, due to the overhead associated with estimating CSI, distributed differential space-time coding techniques have been suggested to overcome this overhead by detecting the information symbols without requiring any (CSI) at any transmitting or receiving antenna. However, the latter techniques suffer from low performance in terms of BER as well as high latency and decoding complexity. In this paper, a distributed differential beamforming technique with power allocation is proposed to overcome all drawbacks associated with the later techniques without needing CSI at any antenna and to be used for cooperative communication networks. We prove through our analytical and simulation results that the proposed technique outperforms the state-of-the-art techniques in terms of BER with comparably low decoding complexity and latency.

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