Summary

Chapter 20 Summary: Resource Allocation and Scheduling

Key Points

  • 1.

    Multiuser diversity transforms fading from an impairment into a resource. By scheduling the user with the best channel in each time slot, the opportunistic scheduler achieves a sum-rate capacity that scales as log2(lnK)\log_2(\ln K) — a double-logarithmic growth with the number of users KK. The expected maximum of KK i.i.d. Rayleigh channel gains grows as lnK+γEM\ln K + \gamma_{\text{EM}}, following Gumbel extreme-value statistics.

  • 2.

    Proportional fair scheduling maximises klnTˉk\sum_k \ln \bar{T}_k by serving user k=argmaxkRk[t]/Tˉk[t]k^{\star} = \arg\max_k R_k[t]/\bar{T}_k[t]. This gradient-ascent interpretation (Kushner--Whiting 2004) guarantees convergence to the log-utility optimum. The α\alpha-fair utility family parameterises the entire throughput--fairness frontier: α=0\alpha = 0 (max-rate), α=1\alpha = 1 (PF), α\alpha \to \infty (max-min).

  • 3.

    OFDMA resource allocation exploits frequency-selective fading by assigning subcarriers to users and distributing power. For unconstrained sum-rate maximisation, the greedy assignment (each subcarrier to its strongest user) followed by water-filling is globally optimal due to the orthogonality of subcarriers. Per-user rate constraints make the problem NP-hard in general.

  • 4.

    Link adaptation (AMC) closes the gap between channel capacity and practical throughput by dynamically selecting the MCS based on CQI feedback. The target BLER of \sim10% for initial transmission, combined with HARQ retransmissions, maximises effective throughput. Outer-loop link adaptation (OLLA) tracks bias errors from CQI quantisation and feedback delay.

  • 5.

    Inter-cell interference coordination (ICIC) manages the dominant impairment for cell-edge users. Frequency reuse with factor Δ\Delta improves cell-edge SINR by Δα/2\Delta^{\alpha/2} at the cost of 1/Δ1/\Delta bandwidth per cell. Fractional frequency reuse (FFR) preserves cell-centre throughput (reuse-1) while protecting cell-edge users (reuse-Δ\Delta).

  • 6.

    Cross-layer design integrates the MAC scheduler, link adaptation, HARQ, and buffer management into a unified control loop. Modern systems (5G NR) operate this loop at sub-millisecond granularity with QoS-differentiated scheduling for URLLC, eMBB, and mMTC traffic classes.

Looking Ahead

Chapter 21 extends resource allocation to multi-antenna and multi-cell networks, including coordinated multi-point (CoMP) transmission, cloud-RAN architectures, and network slicing. We will also explore how machine learning can optimise scheduling and resource allocation in real time, replacing hand-crafted heuristics with data-driven policies that adapt to dynamic traffic and interference patterns.