On the Analysis of Scheduling in Dynamic Duplex Multihop mmWave Cellular Systems


With the shortage of spectrum in typical cellular frequencies, millimeter-wave (mmWave) bands are being widely thought-about to be used in next-generation networks. Multihop relaying is probably to play a vital role in mmWave cellular systems for self backhauling, range extension and improved robustness from path diversity. But, planning scheduling policies for these systems is challenging due to the need to account for each adaptive directional transmissions and dynamic time-division duplexing schedules, which are key enabling options of mmWave systems. This paper considers the matter of joint scheduling and congestion control in a very multihop mmWave network employing a Network Utility Maximization (NUM) framework. Interference is modeled with an exact model and 2 auxiliar simplified models: actual interference (AI), with a graph-primarily based calculation of the Signal to Interference and Noise Ratio (SINR) depending on dynamic link activity and directivity, in addition to higher and lower bounds computed from worst-case interference (WI) and interference free (IF) approximations. Throughput and utility optimal policies are derived for all interference models (AI, WI and IF) with both deterministic Maximum Weighted and randomized Choose and Compare scheduling algorithms, jointly with decentralized Dual Congestion Management. Results are evaluated with numerical simulations, using correct mmWave channel and beamforming gain approximations based on measurement campaigns.

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