Novel Design of User Scheduling and Analog Beam Selection in Downlink Millimeter-Wave Communications

Joint Beam Allocation and Scheduling for mmWave Cellular Networks

“…6. The capacity region for our sand filling approach in this numerical example, is given by 11τ ≤ 1, from Theorem 6, where the bottle neck constraint is (25) which occurs on segment n = 4 (and also on segments n = 1, 2, 3,6,8,9,10,13,14,15,17,19). 6 This can be seen by observing that segment n = 4 has τ [n:n+I] = 10τ + 1τ = 11τ which is the max N −1 n ′ =0 τ [n ′ :n ′ +1] over all segments.…”

“…Sum rate optimization for mmWave link scheduling was used in [7], [8]. In [7] a graph based approach was taken, where scheduling of interfering links was avoided and a maxweight scheduling approach was proposed for a fixed number of RF chains.…”

“…In [7] a graph based approach was taken, where scheduling of interfering links was avoided and a maxweight scheduling approach was proposed for a fixed number of RF chains. In [8] user scheduling and analog beam selection was done from a code-book, where the UE rate included the interference from simultaneous beams. Due to NP-hardness of the problem, a heuristic user-clustering based scheduling algorithm was proposed.…”

An efficient algorithm for resource optimization in IRS-mmWave-NOMA B5G wireless networks

“…At present, the relevant literature has conducted in-depth research on the application of NOMA technology in millimeter wave communication systems. Reference [ 30 ] studied the joint optimization problem of power allocation and beam design of mmWave NOMA system under a single radio frequency chain, and proposed an effective optimization method. Reference [ 31 ] extended to multiple radio frequency chains, proposed a user grouping algorithm based on K-means, and designed a hybrid precoding and power allocation scheme on this basis to maximize the system spectral efficiency.…”