Joint access point (AP) association and physical carrier sensing (PCS) threshold selection has the potential to improve the performance in high density wireless LANs (WLANs) under high contention, interference and self-interference (SI) limited transmissions. Using tools from stochastic geometry, user and AP locations are independent realizations of spatial point processes. Considering the inherent effects of the channel access protocol, the spatial density of throughput (SDT), which depends on channel access probability and coverage rate, is derived as the performance objective. Leveraging spatial statistics of the network, a throughput-utility maximization problem is formulated to seek AP association and PCS threshold selection policies that jointly maximize SDT. The AP association and the PCS threshold selection policies are derived analytically while an algorithm is proposed for numerical solution. Under simulated scenarios involving full-duplex (FD) nodes, optimizing AP association yields performance gains for low to high node density in large-scale wireless networks. Considering PCS threshold selection optimization jointly with AP association is shown to improve performance by effectively separating concurrent transmissions in space. It is shown that AP association in FD WLANs groups users into minimal contention domains and PCS threshold optimization reduces the interference domain of user groups for additional performance gains.
翻译:联合接入点(AP)协会和物理承运人遥感(PCS)门槛选择有可能提高高密度无线局域网(WLAN)在高争议、干扰和自我干预(SI)有限传输条件下的性能。使用来自随机几何测定、用户和AP地点的工具是空间点过程的独立实现。考虑到频道访问协议的固有影响,视频道访问概率和覆盖率而定的通过量的空间密度(SDT)的空间密度(SDT)作为绩效目标。利用网络的空间统计,形成了一种吞吐利用最大化问题,以寻求AP协会和PCS门槛选择政策,共同最大限度地实现SDT的最大化。AP协会和PCS门槛选择政策是用分析推导出来的,同时提出数字解决方案的算法。在涉及全多元节点的模拟情景下,优化AP协会在大型无线网络低至高无线密度的情况下产生业绩收益。考虑到PCS门槛选择与APA协会联合进行优化,通过有效分离空间同时传输来提高绩效。它表明APA协会在最大程度上将更多的干扰用户群体降低PCS的绩效。