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Cited by 18 publications
(11 citation statements)
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References 44 publications
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“…The CU will first obtain optimal AC and BA policy which possesses a computational complexity of O (M • max(K, n p )), where M is the observation time slot in a FSO system. Note that the first term of maximization is related to AC having processing with K DUs, whilst the second term of n p is reluctant to GA-based BA algorithm referring the analysis in [26]. Furthermore, the proposed DU-LAB scheme in Algorithm 2 executes in a distributed architecture having a complexity order of O (M N ).…”
Section: B Complexity Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The CU will first obtain optimal AC and BA policy which possesses a computational complexity of O (M • max(K, n p )), where M is the observation time slot in a FSO system. Note that the first term of maximization is related to AC having processing with K DUs, whilst the second term of n p is reluctant to GA-based BA algorithm referring the analysis in [26]. Furthermore, the proposed DU-LAB scheme in Algorithm 2 executes in a distributed architecture having a complexity order of O (M N ).…”
Section: B Complexity Analysismentioning
confidence: 99%
“…In [25], it solves a joint time slot and power allocation problem to maximize resource efficiency for small cell access networks deployed with wireless fronthaul by using the branch and bound method. Nonetheless, papers of [22]- [25] do not design methodologies for beam allocation (BA) in wireless fronthaul links, which potentially induces interferences and underutilization of mmWave radio resources due to vulnerability to high transmission pathloss and blockage effects, e.g., blocking walls of buildings or human bodies [26]- [28]. Although signal power strength can be compensated by directional beamforming techniques [29], the capacity gain of mmWave communications cannot be effectively exploited if beam resources are utilized inefficiently.…”
mentioning
confidence: 99%
“…Given the severe interbeam interferences caused by mobility of users, the authors of [34] proposed a beam resource allocation and mobility-aware subband scheme for the mmWave subband-beam massive MIMO systems. The authors of [35] focused on beam training problem of wireless local area networks in the 60-GHz band and designed an advanced beamforming training protocol for multiple access points and multiple users.…”
Section: Mmwave Beam Managementmentioning
confidence: 99%
“…Accordingly, the study in [29] answers the question of when the beam should be realigned in such V2I communication system. Then, in [30], a mobility-aware subband and beam resource allocation scheme is proposed for mmWave-based subband-beam massive MIMO system, which can also be applied in V2I communication. Moreover, in [31], an IEEE 802.11ad MAC configuration is proposed to embed the radar functionality within the standards-compliant operations.…”
Section: Introductionmentioning
confidence: 99%