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The channel, for a given narrow band, between he transmitter and receiver arrays is therefore modeled as a complex matrix multiply Let 1 be an index into the group 1 transceivers, and 2 an index into the group 2 transceivers When node 2 is transmitting during the uplink, we model the channel between the two nodes as a complex matrix H12 ( 1 , 2 ) of dimension M1 ( 1 ) M2 ( 2 ), where M1 ( 1 ) is the size of the antenna array at node 1 , and M2 ( 2 ) is the size of the array at node 2 Polarization diversity is treated like additional antennae.

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In the next TDD time slot, during the downlink, node 1 will transmit and the channel from 1 to 2 is described by the complex M2 ( 1 ) M1 ( 2 ) matrix H21 ( 2 , 1 ) For every node pair ( 1 , 2 ) that forms a communications link in the network, we assign a MIMO channel link number, indexed by k or m, in order to label all such connections established by the network Obviously not every node pair is necessarily assigned a link number, only those that actually communicate We also de ne the mapping from the MIMO link number to the associated group 1 node, 1 (k) and the associated group 2 node 2 (k) by the association of k with the link [ 1 (k), 2 (k)].

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Because each channel is MIMO, a given node will transmit multiple symbols over possibly more than one transmission mode The set of all transmission modes over the entire network is indexed by q and p This index represents all the symbol streams that are transmitted from one node to another and therefore represents a lower level link number The low level link numbers will map to its MIMO channel link, via the mapping k(q) Because our network will This is due to dif culty of synchronizing a node to multiple interference sources nd reduces the complexity of the receiver (2) The interference ir (n; k) is modeled as complex circular Gaussian noise The superposition of many distant interferers will appear Gaussian by the central limit theorem Considering therefore the channel model described by Equations (1963) and (19.

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focus on the business is bad, there must be a middle ground that is more successful The best balance is achieved when the underlying data needed to create performance indicators is loaded in the data warehouse and made available to support detailed analysis Executives and high-level managers can drill down into the data themselves or rely on their employees to follow up on the more detailed analysis Either way, the data is available to support the needed analysis Another bene t of loading detailed data is that often very interesting and possibly valuable data may live alongside the speci c elements requested By pulling all useful business data, rather than just one eld of immediate interest, the data warehouse supports multiple levels of analysis and future changes The effort required to pull along these additional elds is often not signi cant The most effort is needed to integrate even one element from each source, rather than multiple elements For xample, it can be hard work aligning product codes from non-integrated systems, but the amount of effort needed to integrate the product codes is the same whether one uses one data element from each source or fteen elements from each source Given that the level of effort does not increase dramatically, why not bring forward other useful business data at the outset To increase long-term bene ts, it is critical that designs for data delivery and preparation not be limited to a speci c set of business measures The design of the data access and analysis components of the data warehouse can indeed focus on the speci c requirements at hand.

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Any class can elect to implement, wholly or partially, zero or more interfaces A class specifies the interfaces it implements as a comma-separated list of unique interface names in an implements clause in the class header The interface methods must all have public accessibility when implemented in the class (or its subclasses) A class can neither narrow the accessibility of an interface method nor specify new exceptions in the method s throws clause, as attempting to do so would amount to altering the interface s contract, which is illegal The criteria for overriding methods also apply when implementing interface methods (see Section 72, p 288) A class can provide implementations of methods declared in an interface, but to reap the benefits of interfaces, the class must also specify the interface name in its implements clause In Example 77, the class StackImpl implements the interface IStack It both specifies the interface name using the implements clause in its class header at (2) and provides the implementation for the methods in the interface at (3) and (4) Changing the public accessibility of these methods in the class will result in a compile- time error, as this would narrow their accessibility class can choose to implement only some of the methods of its interfaces (ie, give a partial implementation of its interfaces) The class must then be declared as abstract (see Section 48, p 135) Note that interface methods cannot be declared static, because they comprise the contract fulfilled by the objects of the class implementing the interface Interface methods are always implemented as instance methods The interfaces a class implements and the classes it extends (directly or indirectly) are called supertypes of the class Conversely, the class is a subtype of its supertypes Classes implementing interfaces introduce multiple interface inheritance into their implementation inheritance hierarchy However, note that regardless of how many interfaces a class implements directly or indirectly, it.

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