Abstract: The authors study the joint channel allocation strategy in consideration of the interaction between control channel allocation and service channel allocation. Both of the joint channel allocation algorithms proposed are based on Minimal Aggregation-Maximal Carrier to Interference algorithm, which aims to achieve maximal network throughput. Users’ service requirement and the constraint between control channel and service channel are both considered in the proposed algorithms. Two strategies designed according to service requirement and control channel efficiency separately are proposed. Compared with the traditional strategies, both of the joint channel allocation strategies suggested are theoretically proved and experimentally verified with performance better than minimal aggregation level-maximal carrier to interference ratio (Min AL-Max C/I) in network capacity and coverage. It is concluded that joint channel allocation based on service requirement achieves best cumulative user throughput performance, while joint channel allocation based on control channel efficiency provides best network throughput with limited control channel constraint.

Key words: LTE, joint resource allocation, PDCCH (physical downlink control channel), PDSCH (physical downlink service channel)

摘要： 为了充分地考虑控制信道与业务信道之间的相互影响, 提出基于用户业务需求和基于控制信道调度效率的两种控制信道和业务信道联合资源调度算法。这两种联合信道调度策略均基于以网络吞吐量最大化为目标的最小聚合等级?最大载干比(minimal aggregation-maximal carrier to interference, Min AL-Max C/I)算法提出。在长期演进(long time evolution, LTE)系统级仿真平台中, 将提出的联合资源调度策略与Min AL-Max C/I 算法进行对比。仿真结果与理论推导的结论一致, 证明基于业务需求的联合调度算法优先调度业务需求最大的用户, 所以能获得用户吞吐性能的最优。基于控制信道策略的联合调度算法是从控制信道调度效率最大化的角度出发, 优先调度控制信道调度效率最大的用户, 在控制信道受限的条件下, 能够实现网络吞吐的最大化。

关键词: LTE, 联合资源调度, 下行控制信道(PDCCH), 下行业务信道(PDSCH)