A method for a network entity. The method for controlling a communication between a first communication device and a second communication device includes obtaining positions of communication devices and determining radiation boundary areas in an environment of the communication devices. The method also includes allocating a radiation boundary area of the radiation boundary areas to the first communication device of the communication devices to communicate with the second communication device of the communication devices and transmitting information about the allocated radiation boundary area to the first communication device and/or the second communication device.

A method for dynamically assigning communication resources between two or more radio access technologies (RAT) in a wireless access network. The method includes obtaining a network observation o.sub.t indicating a current state of the wireless access network, predicting a sequence of future states of the wireless access network by iteratively simulating hypothetical communication resource assignments a.sup.1, a.sup.2, a.sup.3 over a time window w starting from the current state, evaluating a reward function for each hypothetical communication resource assignment a.sup.1, a.sup.2, a.sup.3 over the time window w, and dynamically assigning the communication resources based on the simulated hypothetical communication resource assignment a.sup.1 associated with maximized reward function over the time window w when the wireless access network is in the current state.

A method for dynamically assigning communication resources between two or more radio access technologies (RAT) in a wireless access network. The method includes obtaining a network observation o.sub.t indicating a current state of the wireless access network, predicting a sequence of future states of the wireless access network by iteratively simulating hypothetical communication resource assignments a.sup.1, a.sup.2, a.sup.3 over a time window w starting from the current state, evaluating a reward function for each hypothetical communication resource assignment a.sup.1, a.sup.2, a.sup.3 over the time window w, and dynamically assigning the communication resources based on the simulated hypothetical communication resource assignment a.sup.1 associated with maximized reward function over the time window w when the wireless access network is in the current state.

Dynamic configuration of Overlapping Basic Set Service Preamble Detect (OBSS/PD) parameters for an Access Point (AP) may be provided. First, a plurality of stations within a Spatial Reuse (SR) range of the AP may be determined. Next, Signal to Interference plus Noise Ratio (SINR) calculations associated with the plurality of stations may be performed to determine an SINR impact on the plurality of stations if the AP performs an SR transmission given OBSS/PD parameters currently configured for the AP. Then, based on the SINR calculations, the OBSS/PD parameters for the AP may be dynamically adjusted.

Dynamic configuration of Overlapping Basic Set Service Preamble Detect (OBSS/PD) parameters for an Access Point (AP) may be provided. First, a plurality of stations within a Spatial Reuse (SR) range of the AP may be determined. Next, Signal to Interference plus Noise Ratio (SINR) calculations associated with the plurality of stations may be performed to determine an SINR impact on the plurality of stations if the AP performs an SR transmission given OBSS/PD parameters currently configured for the AP. Then, based on the SINR calculations, the OBSS/PD parameters for the AP may be dynamically adjusted.

Spectrum and radio resources associated with a 5G radio unit (RU) of a host network are dynamically allocated amongst one or more guest networks. A provisioning plane receives inputs from a guest network operator that identifies desired times, locations and/or frequency bands for desired network coverage. The provisioning plane responsively identifies bandwidth allocations that meet the requested parameters for exclusive use by the guest network. User equipment (UE) associated with each guest network maintains time and frequency synchronization with the host network, but otherwise limits its communications to the frequency bands allocated to the guest network. By dynamically obtaining physical radio and spectrum resources from a host provider and by scaling backend network capabilities using cloud resources, guest networks for any number of different purposes can be quickly deployed or modified as desired.

A control apparatus and method for a wireless communication system supporting cognitive radio. The control apparatus includes an acquisition unit and a management unit. The acquisition unit is configured to acquire information about at least one factor capable of affecting performance of transferring an access request for a frequency spectrum resource by a communication apparatus, the access request being used for making a request to a device which controls the frequency spectrum allocation for allocating a frequency spectrum to the communication apparatus. The management unit is configured to receive the access request sent by the communication apparatus, and optimize a route for the access request of the communication apparatus according to the acquired factor in the case that the access request contains information indicating that the communication apparatus is a slave apparatus of another communication apparatus.

A control apparatus and method for a wireless communication system supporting cognitive radio. The control apparatus includes an acquisition unit and a management unit. The acquisition unit is configured to acquire information about at least one factor capable of affecting performance of transferring an access request for a frequency spectrum resource by a communication apparatus, the access request being used for making a request to a device which controls the frequency spectrum allocation for allocating a frequency spectrum to the communication apparatus. The management unit is configured to receive the access request sent by the communication apparatus, and optimize a route for the access request of the communication apparatus according to the acquired factor in the case that the access request contains information indicating that the communication apparatus is a slave apparatus of another communication apparatus.

An access point (AP) may be configured by processing circuitry to operate as a coordinator AP for performing BSS channel level coordination. The coordinator AP is configured to assign non-overlapping channels to one or more coordinated APs of overlapping BSSs to schedule time-sensitive traffic to help ensure bounded latency, jitter and reliability per BSS. In some embodiments, the AP may be configured for performing transmission level coordination and may initiate a coordinated transmission opportunity (TXOP) for resource assignment to control contention access among managed BSSs. To perform the BSS channel level coordination, the coordinator AP is configured to encode a multi-AP trigger frame (M-TF) to initiate the coordinated TXOP. The M-TF may be encoded to include a time-sensitive operation IE indicating how each STA is to access the channel within the coordinated TXOP.

Presented are Ergodic Spectrum Management (ESM) systems and methods that take advantage of the presence of statistical consistencies (“ergodicity”) and correlations, such as a wireless network's average dimensional consistencies of probability distributions (in time, space, and frequency) of channel gains, to adaptively learn qualitative and quantitative network/user behavior; estimate or predict network performance; and guide locally implemented radio resource management (RRM) decisions of wireless multi-user transmissions in a manner such as to reduce interference and improve latency; connection stability; efficiency; and overall wireless performance. ESM also enhances end-users' Quality of Experience (QoE) by allowing movement across bands and regions as users/devices roam. A remote-cloud-based resource management implementation of ESM's Learn-ed Resource Managers (LRMs) removes the need for heavy edge-computing close to radio cells.