Abstract
The wireless communications is studied for the intelligent connected vehicles (ICV) networks by supporting heterogeneous access with direct access of one vehicle yet the dual-hop access of another vehicle. The dual-hop access is enhanced by one dedicated vehicle as relaying vehicle with multiple antennas. The goal in this paper is to joint design of both receive beamforming and transmit beamforming at the relaying multi-antenna vehicle to suppress the interference between the two wireless receive vehicles yet match the dual-hop wireless channel as much as possible. The energy efficiency is optimized as the objective function under the constraint of the limited power over every beamforming vector. Due to the difficulty of the optimization, the principle of the signal to leakage plus noise ratio (SLNR) is introduced to the studied ICV networks and thus to obtain the analytical expression of the beamforming vectors. With the derived closed form over all the beamforming vectors, an iterative algorithm is developed for jointly optimizing all the beamforming vectors to maximize the energy efficiency of the whole system, which is guaranteed to be convergent to one local optimum. Numerical simulations show the good performances of the proposed method in ICV networks.
Highlights
The intelligent connected vehicle networks (ICV) becomes very hot since the wireless information transmission in this networks is severely challenged by both the wireless channel transmission capability and the mobility of vehicles as addressed in [1]
We introduce the principle of the signal to leakage plus noise ratio (SLNR) from the multi-user MIMO precoding literature [24] to this system, which enables decoupling the whole complicated problem into three sub-problems with each corresponding to only one unknown beamforming vector
All of the three unknown parameters w1, w3 and v1 have been optimized to analytical expression by maximizing the energy efficiency objective function, where the principle of SLNR is introduced to the formulated problem for the subsequent tractable optimizations
Summary
The intelligent connected vehicle networks (ICV) becomes very hot since the wireless information transmission in this networks is severely challenged by both the wireless channel transmission capability and the mobility of vehicles as addressed in [1]. In [15], a vehicle centric method is proposed to reduce the signaling latency in V2V communications by optimizing the network access/association and resource allocation. In [17], a context aware algorithm is proposed for heterogeneous V2V communications consisting of both connected and automated vehicles This algorithm enables each vehicle dynamically select its radio access technology (RAT), which approaches the theoretical upper bound performance. In [23], the similar studies are carried out for the V2V systems as in [22] by addressing the outdated channel sate information over double Nakagami wireless channel All these results demonstrate the good performance the relaying V2V wireless communication.
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