SDP-IGD: an iterative power allocation technique for cluster-based multihop vehicular communications

Alam, Md Zahangir, Adhicandra, Iwan, Khan, Komal S., and Jamalipour, Abbas (2020) SDP-IGD: an iterative power allocation technique for cluster-based multihop vehicular communications. IEEE Transactions on Vehicular Technology, 69 (7). pp. 7908-7915.

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Abstract

This paper addresses the formulation of power allocation for cluster based multihop vehicular relaying communications in order to improve the network quality-of-services (QoS). The cluster-to-cluster (C2C) channel is completely depend on the power gain of vehicle-to-vehicle (V2V) channel that increases the difficulties of the power allocation problem. To meet this goal, we have derived a global channel obtained by joint V2V and C2C cooperation. The most challenging aspect is however the joint V2V and C2C power allocation of the global channel due to the association of its multi-variables objective function. To solve this problem, we apply an alternative optimization technique to make the global problem into a series of sub-problems. We then apply a semi-definite programming (SDP)-based iterative gradient descent (SDP-IGD) power allocation to assign power in each relay. The SDP-IGD power allocation algorithm has been extended from Lagrange Multiplier (LM) that provides better performance than separate LM technique. The minimum mean-square error (MMSE)-decision feedback equalizer (MMSE-DFE) is designed at the receiver to improve the signal detection capability under exact channel state information (CSI) in all forward-and-backward links. Finally, simulation results confirm that our proposed solution performs significantly superior compared to other solutions found in the literature.

Item ID: 67039
Item Type: Article (Research - C1)
ISSN: 1939-9359
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Copyright Information: (C) IEEE
Date Deposited: 09 Mar 2021 23:09
FoR Codes: 40 ENGINEERING > 4008 Electrical engineering > 400899 Electrical engineering not elsewhere classified @ 50%
40 ENGINEERING > 4006 Communications engineering > 400699 Communications engineering not elsewhere classified @ 50%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2201 Communication technologies, systems and services > 220199 Communication technologies, systems and services not elsewhere classified @ 50%
22 INFORMATION AND COMMUNICATION SERVICES > 2201 Communication technologies, systems and services > 220103 Mobile technologies and communications @ 50%
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