multi-antenna cognitive radio for broadband access in 4g-wlans
This paper focuses on the competitively optimal power-control, signal-shaping and interference mitigation for wireless mesh networks composed by Multiple-Antenna noncooperative transmit terminals and a base station affected by spatially colored Multi-Access Interference (MAI). The target is the competitive maximization of the information throughput of the uplink of each link active over the network. For this purpose, the MAI-impairednetwork is modelled as a noncooperative strategic game.Specifically, the main contribution of this paper may be sosummarized. First, we consider power-control, signal-shaping and interference mitigation algorithms allowing the implementation of asynchronous Space-Division Multiple Access (SDMA) strategies able to guarantee the competitive maximization of the users' rate under both Quality of Service (QoS) guaranteed and QoS contracted accesspolicies. Second, we give evidence that the developed SDMAoutperforms (in terms of aggregate throughput) the conventional orthogonal ones, specially in operating scenarios affected by strong MAI. The proposed access scheme can be considered as an Active Networking strategy where the nodes try to "sense" the channel and to access according to a space-division policy.
competitive optimality mai sdma active networks game theory power allocation multiple antennas